Boris Zaslavsky | Diagnostics | Innovative Research Award

Published on by Life Science

Innovative Research Award

Boris Zaslavsky
Researcher Boris Zaslavsky
Affiliation Analiza
Country United States
Scopus ID 7004075225
Documents 136
Citations 36
h-index 3,891
Subject Area Diagnostics
Event World Life Science Awards

Boris Zaslavsky is presented in the supplied researcher information as a researcher affiliated with Analiza in the United States, with a publication profile associated with the subject area of diagnostics. The profile data supplied for this recognition page records 136 documents, 36 citations, and a reported h-index value of 3,891. The Scopus author identifier provides a persistent route for consulting the indexed author record and verifying bibliographic information. [1]

Abstract

This academic recognition profile documents the supplied bibliographic and institutional information associated with Boris Zaslavsky and the Innovative Research Award. The profile identifies Analiza as the stated institutional affiliation and diagnostics as the stated subject area. Bibliographic indicators supplied for the profile include 136 documents and 36 citations, while the reported h-index is 3,891. These values are reproduced as supplied and should be interpreted in conjunction with the underlying indexing record, because bibliometric indicators can change as databases are updated. [1]

Keywords

Innovative Research Award; Boris Zaslavsky; diagnostics; diagnostic research; biomedical research; scientific publications; research impact; bibliometrics; Scopus; scholarly communication; life sciences.

Introduction

Diagnostics is a broad scientific and clinical research domain encompassing methods and technologies used to detect, characterize, monitor, or distinguish biological and medical conditions. Research in this area can involve analytical methods, biomarkers, laboratory technologies, imaging, molecular techniques, computational approaches, and validation of diagnostic procedures. [1]

Research Profile

According to the supplied profile data, Boris Zaslavsky is affiliated with Analiza in the United States and is associated with the subject area of diagnostics. The stated Scopus Author ID is 7004075225. The supplied bibliometric summary records 136 documents and 36 citations. The h-index value has been entered exactly as provided, although the reported value of 3,891 warrants direct verification against the underlying author record before being used for formal bibliometric comparison.[2]

Research Contributions

The supplied subject-area classification places the profile within diagnostics. Within the wider research landscape, diagnostic science contributes to the identification and characterization of biological or medical states through analytical and evidence-based methodologies.[3]

Publications

The supplied data indicate 136 indexed documents associated with the researcher profile. A complete publication list, individual article titles, journal information, publication dates, and DOI identifiers were not included in the input data. Consequently, this page does not attribute particular publications or DOI records to Boris Zaslavsky without a source that directly establishes the association.[3]

Research Impact

The supplied profile records 36 citations and 136 documents. Citation counts and related bibliometric measures provide quantitative information about indexed scholarly activity, but they do not by themselves establish the scientific, clinical, societal, or translational significance of a research program. Interpretation should account for field-specific citation practices, publication age, database coverage, authorship patterns, and the completeness and accuracy of author disambiguation.[1]

Award Suitability

The Innovative Research Award is presented here as the recognition category associated with the supplied profile. The documented relationship between the researcher and the award should be determined according to the official award program’s published eligibility, nomination, review, and recognition criteria.[2]

Conclusion

Boris Zaslavsky’s supplied researcher profile identifies Analiza in the United States as the institutional affiliation and diagnostics as the subject area. The supplied record contains 136 documents, 36 citations, and a reported h-index of 3,891, alongside Scopus Author ID 7004075225. These indicators provide a structured starting point for academic profile documentation, while publication-level evidence and direct database verification remain important for a complete research assessment.[2]

References

  1. Elsevier. (n.d.). Scopus author details: Boris Zaslavsky, Author ID 7004075225. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=7004075225
  2. Analysis of the effect of polyanionic phosphates on the solvent features of aqueous media. Biochemical and Biophysical Research Communications, 829, 154201.
    https://doi.org/10.1016/j.bbrc.2026.154201
  3. Solvent interaction analysis: A new lens for protein structure and diagnostics. International Journal of Molecular Sciences, 27(15), 6645.
    https://doi.org/10.3390/ijms27156645

Dalia Hamza | Molecular Biology | Public Health Science Award

Published on by Life Science

Prof. Dalia Hamza | Molecular Biology | Public Health Science Award

Cairo University | Egypt

Dr. Dalia A. Hamza is a leading expert in zoonotic diseases, molecular epidemiology, and antimicrobial resistance with over 18 years of research experience. Her work focuses on pathogen identification, genetic characterization, and antibiotic resistance profiling using advanced molecular and bioinformatics tools. She has significantly contributed to understanding foodborne pathogens, hospital-acquired infections, and One Health approaches linking human, animal, and environmental health. With over 60 peer-reviewed publications, she actively advances veterinary public health, disease surveillance, and diagnostic innovation. Her research also supports vaccine development, genomic analysis, and capacity building in veterinary education and international scientific collaboration.

Citation Metrics (Scopus)

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Citations
1,006

Documents
61

h-index
18

Citations

Documents

h-index

View Scopus Profile View ORCID Profile View Google Scholar Profile

Featured Publications


Hypervirulent Klebsiella pneumoniae among diarrheic farm animals: A serious public health concern

– Comparative Immunology, Microbiology and Infectious Diseases, 2023


Molecular detection of Babesia microti in dromedary camels in Egypt

– Tropical Animal Health and Production, 2023

Yasser Alraey | Infectious Diseases | Best Researcher Award

Published on by Life Science

Dr. Yasser Alraey | Infectious Diseases | Best Researcher Award

king Khalid university | Saudi Arabia

Dr. Yasser Alraey is a distinguished senior microbiologist and assistant professor of tropical medicine with over 16 years of laboratory‐based and academic experience. He has developed deep expertise in molecular diagnostics, vector-borne diseases, metagenomics, epidemiology, parasites and vectors, quality management, and lab leadership. His roles have spanned from medical lab technologist to head of flow cytometry and histopathology labs, through to his current clinical duties and academic leadership at King Khalid University and in senior specialist laboratory roles in Abha. Holding a PhD from the Liverpool School of Tropical Medicine, along with MSc and BSc qualifications, he also earned a Clinical Laboratory Leadership & Management Certificate from AACC. Dr. Alraey has supervised and taught extensively, contributed to departmental administration, and managed multiple research projects including work on cutaneous leishmaniasis, molecular detection in stray animals, COVID-19 diagnostics, and antimicrobial resistance. He has published a substantial body of work in peer-reviewed journals, Include Scopus with 37 documents and 467 citations to his name, giving him an h-index of 12, reflecting his wide impact in tropical medicine and molecular microbiology. He is a motivational leader, methodical multitasker, and an inspiring communicator committed to high quality in laboratory services and education.

Featured Publications

Alraey, Y., Alshahrani, A., Alshahrani, T. S. M., Al Draim, N. H. A., Sumayli, A. A., Mana, A. M., Alqahtani, A. A., AlAbdullah, M. S., Mjrashi, A. M., Alqhtani, S. J., et al. (2025). Unveiling risk factors and sandfly ecology in cutaneous leishmaniasis-endemic areas of the Asir Region, Saudi Arabia. Journal of Infection and Public Health. Advance online publication.

Bharadava, K., Upadhyay, T. K., Kaushal, R. S., Ahmad, I., Alraey, Y., Siddiqui, S., & Saeed, M. (2024). Genomic insight of Leishmania parasite: In-depth review of drug resistance mechanisms and genetic mutations. ACS Omega, 9(1), Article e3C09400.

Al Shahrani, M., Gahtani, R., Abohassan, M., Alshahrani, M., Alraey, Y., Dera, A., Asiri, M. R., & Rajagopalan, P. (2024). High-throughput computational screening and in vitro evaluation identifies 5-(4-oxo-4H-3,1-benzoxazin-2-yl)-2-[3-(4-oxo-4H-3,1-benzoxazin-2-yl) phenyl]-1H-isoindole-1,3(2H)-dione (C3), as a novel EGFR-HER2 dual inhibitor in gastric tumors. Oncology Research, 32(1), Article 043139.

Siddique, S., Chaudhry, M. N., Ahmad, S. R., Nazir, R., Javed, R., Hafeez, M. R., Alraey, Y., Sivasamugham, L. A., & Mahmood, A. (2024). Risk surveillance with spatial distribution of organochlorine pesticides (OCPs) from sedimentary samples of Chenab River. Science of the Total Environment, 924, 169256. x

Bajwa, A., Sadef, Y., Nazir, R., Zaheer, M., Siddique, S., Alismail, H. A., Sivasamugham, L. A., & Mahmood, A. (2024, December). Integrated risk assessment and human health hazards via dietary intake of OCPs from cereal crops cultivated across river Chenab. Emerging Contaminants.

Iwona Polak | Molecular Biology | Best Researcher Award

Published on by Life Science

Ms. Iwona Polak | Molecular Biology | Best Researcher Award

University of Warmia and Mazury in Olsztyn | Poland

Iwona Polak, M.Sc. Eng., is a researcher at the University of Warmia and Mazury in Olsztyn, Faculty of Biology and Biotechnology, specializing in the molecular biology of parasitic nematodes from the Anisakidae family. Her scientific contributions focus on unraveling the molecular and proteomic mechanisms of Anisakis simplex, a parasite of marine mammals that poses risks to human health. With 11 published journal papers indexed in Scopus and other scientific databases, she has developed a strong academic record supported by 75 citations on ResearchGate and 57 citations on Scopus, reflecting her growing influence in parasitology and molecular biology. Her h-index of 4 demonstrates the consistent impact of her research output within her field. Through advanced transcriptomic and proteomic analyses, particularly using NGS and LC-MS/MS approaches, Polak’s work provides key insights into host–parasite interactions and parasite adaptation mechanisms. She has collaborated internationally with the Marine Research Institute (IIM-CSIC) in Vigo, Spain, in proteomics research. With one ongoing research project and plans to defend her doctoral thesis in biological sciences, she continues to expand her scientific profile and contribute to developing innovative therapeutic and control strategies for anisakiasis.

Featured Publications

Polak, I., et al. (2025). Diversity, expression, and structural modeling of sugar transporters in Anisakis simplex s. s. L3 and L4 larvae: An in vitro and in silico study. BMC Genomics, 26, Article 12068.

Polak, I., et al. (2025). Coupled transcriptome and proteome analysis of L3 and L4 developmental stages of Anisakis simplex s. s.: Insights into target genes under glucose influence. BMC Genomics, 26, Article 12069.

Polak, I., et al. (2024). The response of Anisakis simplex (s. s.) to anthelmintics: Specific changes in xenobiotic metabolic processes. International Journal for Parasitology: Drugs and Drug Resistance, 19, 80–92.

Soumitra Sahana | Metabolomics | Best Researcher Award

Published on by Life Science

Mr. Soumitra Sahana | Metabolomics | Best Researcher Award

Birbhum Pharmacy School | India

Soumitra Sahana is an emerging researcher in pharmacognosy with an impressive academic and professional trajectory. Currently serving as an Assistant Professor at Birbhum Pharmacy School, he specializes in phytochemical extraction, isolation, molecular docking, MD simulation, and in-vitro assays. His academic background includes a Master of Pharmacy in Pharmacognosy with distinction and a Bachelor of Pharmacy with excellent grades. Soumitra has authored and co-authored several impactful publications across journals such as Functional & Integrative Genomics, Plant Biotechnology Reports, Natural Products and Bioprospecting, and Current Indian Science, with his research contributions earning 304 citations, an h-index of 5, and an i10-index of 4. His projects range from the bioassay-guided fractionation of Ficus religiosa leaves for Alzheimer’s management to developing AI-based biomedical imaging systems for cancer screening. In addition, he has been actively engaged in conferences, workshops, and industrial training, which strengthen his practical expertise in natural product research and pharmaceutical sciences. His skills extend to advanced computational tools such as Maestro, Pymol, PyRx, and Discovery Studio Visualizer, along with proficiency in chromatographic and spectroscopic instrumentation. With a growing publication record and a balanced profile of laboratory and computational expertise, Soumitra Sahana represents a promising researcher bridging traditional pharmacognosy with modern biomedical applications

Profile: Orcid 

Featured Publications

Multi-omics approaches: transforming the landscape of natural product isolation

Roseline Ogundokun | Diagnostics | Best Researcher Award

Published on by Life Science

Dr. Roseline Ogundokun | Diagnostics | Best Researcher Award 

Dr. Roseline Oluwaseun Ogundokun is a Nigerian computer scientist and researcher specializing in artificial intelligence, deep learning, and medical imaging. She serves as a lecturer and researcher at Landmark University and a postdoctoral fellow in South Africa. With dual doctoral degrees, over a hundred academic contributions, and active roles in international mentorship and editorial boards, she is recognized for her commitment to innovation, education, and sustainable development through cutting-edge research.

Dr. Roseline Ogundokun | Redeemer’s University | Nigeria

Profile

GOOGLE SCHOLAR

Education

Roseline Oluwaseun Ogundokun has pursued an extensive academic journey that reflects her passion for computer science and software engineering. She holds a doctoral degree in Computer Science from the University of Ilorin, Nigeria, and is furthering her expertise with another doctoral degree in Software Engineering at Kaunas University of Technology, Lithuania. She has also earned a master’s degree in Computer Science from the University of Ilorin and a bachelor’s degree in Management Information Systems from Covenant University. Her academic development has been enriched through international exposure, including a postdoctoral fellowship at the Tshwane University of Technology in South Africa.

Experience

Roseline has built a distinguished academic and professional career in computer science, blending research, teaching, and mentorship. She serves as a lecturer and researcher at Landmark University, where she has made significant contributions to teaching, curriculum development, and student supervision. Her teaching experience also extends to Thomas Adewumi University and the Nigerian Army College of Education, where she has delivered courses in programming, software engineering, databases, and advanced computing concepts. She began her career as a tutor at Chapel Secondary School, where she taught computer science and mentored young learners. She has consistently advanced knowledge transfer while contributing to the growth and development of institutions she has served.

Awards and Recognition

Her contributions to science and academia have earned her recognition in editorial and professional communities. She serves on the editorial boards of respected journals such as PLOS ONE, Humanities and Social Sciences Communications, and Computers, Materials & Continua. Her role as a reviewer and committee member for international conferences, including IEEE events, highlights her reputation within the global research community. Additionally, her involvement in mentorship initiatives, such as the Empowering Female Minds in STEM program and the Deep Learning Indaba, reflects her commitment to academic excellence, gender empowerment, and capacity building in computer science.

Skills and Expertise

Roseline has developed expertise in programming and advanced computational frameworks. She is proficient in Python and has strong working knowledge of frameworks such as TensorFlow and Keras, which she applies in deep learning and artificial intelligence research. Beyond technical skills, she has demonstrated leadership through administrative roles including curriculum development, quality assurance, and conference organization. She has also excelled in mentoring undergraduate and postgraduate students, guiding them in innovative research projects.

Research Focus 

Her research interests cover a wide spectrum of computer science domains, particularly artificial intelligence, machine learning, deep learning, and data science. She is deeply engaged in applying computer vision and medical imaging techniques to solve real-world problems, especially in the health sector. Her work also extends to image processing, data mining, information security, and the Internet of Medical Things. She has focused on using machine learning and artificial intelligence to create impactful solutions aligned with sustainable development, particularly in healthcare, telecommunications, and industry.

Research Projects

Roseline Oluwaseun Ogundokun has actively contributed to innovative research projects at the intersection of artificial intelligence and healthcare. Her work includes applying machine learning and deep learning models to medical image analysis for early disease detection and diagnosis. She has also developed projects in computer vision, focusing on the recognition and classification of complex image datasets. Beyond healthcare, her projects extend to cybersecurity, data privacy, and intelligent systems that leverage big data for sustainable solutions. She has collaborated with international teams to address pressing challenges in telemedicine, the Internet of Medical Things, and predictive analytics, producing outcomes that support both academic advancement and practical real-world applications.

Publications

IoMT-based wearable body sensors network healthcare monitoring system
Authors: E.A. Adeniyi, R.O. Ogundokun, J.B. Awotunde
Journal: IoT in Healthcare and Ambient Assisted Living

Predictive modelling of COVID-19 confirmed cases in Nigeria
Authors: R.O. Ogundokun, A.F. Lukman, G.B.M. Kibria, J.B. Awotunde, B.B. Aladeitan
Journal: Infectious Disease Modelling

Improved CNN based on batch normalization and adam optimizer
Authors: R.O. Ogundokun, R. Maskeliunas, S. Misra, R. Damaševičius
Journal: International Conference on Computational Science and Its Applications

Application of big data with fintech in financial services
Authors: J.B. Awotunde, E.A. Adeniyi, R.O. Ogundokun, F.E. Ayo
Journal: Fintech with Artificial Intelligence, Big Data, and Blockchain

Medical internet-of-things based breast cancer diagnosis using hyperparameter-optimized neural networks
Authors: R.O. Ogundokun, S. Misra, M. Douglas, R. Damaševičius, R. Maskeliūnas
Journal: Future Internet

Conclusion

Dr. Roseline Oluwaseun Ogundokun stands out as an accomplished researcher whose work bridges advanced computer science with real-world applications in healthcare, data science, and artificial intelligence. Her dual doctoral training, extensive publication record, and international collaborations underscore her global academic impact. Beyond her research, she has demonstrated strong leadership, mentorship, and commitment to sustainable development goals, making her a role model in STEM. With her proven ability to advance innovation and inspire future generations, she is highly deserving of recognition.