Andrea Doria | Life Sciences Innovation | Innovative Research Award

Published on by Life Science

“`

Innovative Research Award

Andrea Doria
Affiliation The Hospital for Sick Children
Country Canada
Scopus ID 57202528276
Documents 168
Citations 5,138
h-index 39
Subject Area Life Sciences Innovation
Event World Life Science Awards

Andrea Doria is associated with The Hospital for Sick Children in Canada and is presented in this academic recognition profile under the subject area of Life Sciences Innovation. The supplied Scopus profile information lists 168 documents, 5,138 citations and an h-index of 39. These bibliometric indicators provide quantitative context for examining publication activity and citation impact, although they do not independently establish the originality or practical significance of individual contributions. This profile presents the researcher in connection with the Innovative Research Award associated with the World Life Science Awards. [1]

1. Abstract

This article presents a bibliometric and academic recognition profile for Andrea Doria, affiliated with The Hospital for Sick Children in Canada. The supplied Scopus metrics report 168 indexed documents, 5,138 citations and an h-index of 39. The profile places the researcher in the subject area of Life Sciences Innovation and in the context of the Innovative Research Award associated with the World Life Science Awards. [1][2]

2. Keywords

Andrea Doria; Innovative Research Award; World Life Science Awards; Life Sciences Innovation; research evaluation; bibliometrics; scholarly publications; citation analysis; research impact; The Hospital for Sick Children; Canada.

3. Introduction

Research recognition provides a means of highlighting scholarly work, scientific creativity and contributions to the advancement of knowledge. In the life sciences, innovation may involve new methods, improved research approaches, interdisciplinary collaboration or the translation of findings into practical applications. Evaluating these activities requires consideration of quantitative indicators alongside the context and quality of the underlying research.[1]

4. Research Profile

The supplied Scopus record reports 168 documents. The citation count is 5,138, and the h-index is 39. An h-index of 39 indicates that at least 39 documents have received at least 39 citations each under the relevant database record and calculation. These figures can change as new publications and citations are indexed or records are corrected. [1][2]

5. Research Contributions

Research contributions in the life sciences may include new scientific findings, methodological advances, improved understanding of biological processes and evidence supporting further investigation or practical applications. An assessment of individual contributions should be grounded in identifiable publications, documented research activities and verifiable outcomes.[3]

6. Publications

The supplied Scopus profile reports 168 documents associated with the researcher. A comprehensive publication review would examine document types, authorship positions, publication venues, subject distribution and persistent identifiers such as digital object identifiers (DOIs). These details help distinguish the volume of scholarly output from the influence and characteristics of individual works. [1]

7. Research Impact

Research impact can be assessed through scholarly influence, methodological contributions, interdisciplinary use and documented effects beyond academic publishing. Citation indicators describe aspects of scholarly attention, but their interpretation requires awareness of disciplinary norms, co-authorship, database coverage and publication age. [2]

8. Award Suitability

The Innovative Research Award is the recognition category specified for Andrea Doria in connection with the World Life Science Awards. An assessment under this category may consider research originality, methodological rigor, significance of findings, collaboration and the potential or demonstrated relevance of the work to life sciences innovation.[3]

9. Conclusion

This profile summarizes the supplied information for Andrea Doria, affiliated with The Hospital for Sick Children in Canada and presented under Life Sciences Innovation. The reported Scopus metrics comprise 168 documents, 5,138 citations and an h-index of 39. These indicators describe aspects of publication activity and citation visibility but require contextual interpretation and verification against the underlying author record.

References

  1. Elsevier. (n.d.). Scopus author details: Andrea Doria, Author ID 57202528276. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202528276
  2. Non-invasive screening in hereditary cancer: A randomized controlled trial to test cell-free DNA-based early detection in the CHARM consortium. European Journal of Human Genetics, 34(9), 1243–1253.
    https://doi.org/10.1038/s41431-026-02014-z
  3. International imaging practices for sacroiliac joint MRI acquisition protocols in patients with juvenile spondylarthritis. Journal of Clinical Medicine, 15(17), 6816.
    https://doi.org/10.3390/jcm15176816

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

Neha Vats | Medical Physics | Best Researcher Award

Published on by Life Science

Dr. Neha Vats | Medical Physics | Best Researcher Award

Heidelberg University | Germany

Dr. Neha Vats is a postdoctoral researcher in Medical Imaging and Spectroscopy at the Central Institute of Mental Health, Mannheim, Germany, with a strong research foundation in MRI, CT, and multinuclear MRS. Her expertise lies in quantitative image analysis, medical image processing, and the development of advanced imaging protocols. She has contributed significantly to translational neuroimaging and oncology through the optimization of CT perfusion techniques and neurochemical imaging in psychiatric populations. Her scholarly output includes five peer-reviewed publications in high-impact journals such as Scientific Reports and Magnetic Resonance Imaging, addressing topics like pancreatic CT perfusion standardization, perfusion model development, and machine-learning-based tumor differentiation. According to her Scopus profile, she has 5 documents, an h-index of 4, and 28 citations, reflecting strong research visibility and growing academic impact in biomedical imaging. Dr. Vats’s technical proficiency spans MATLAB, C++, perfusion mathematical modeling, and quantitative neuroimaging, with research interests focusing on advanced spectroscopy methods and metabolic brain characterization. Her ongoing projects on ME/CFS and aggression-related brain changes exemplify her commitment to integrating imaging physics with neuroscience for clinical translation and sustainable advancements in medical diagnostics.

Profiles: Scopus | Orcid | Research Gate 

Featured Publications

Vats, N., Mayer, P., Kortes, F., Klauß, M., Grenacher, L., Stiller, W., Kauczor, H.-U., & Skornitzke, S. Evaluation and timing optimization of CT perfusion first pass analysis in comparison to maximum slope model in pancreatic adenocarcinoma. Scientific Reports, 13, Article 10865.

Skornitzke, S., Vats, N., Mayer, P., Kauczor, H.-U., & Stiller, W. Pancreatic CT perfusion: Quantitative meta-analysis of disease discrimination, protocol development, and effect of CT parameters. Insights into Imaging, 14, Article 1471.

Vats, N., Sengupta, A., Gupta, R. K., Patir, R., Vaishya, S., Ahlawat, S., Saini, J., Agarwal, S., & Singh, A. Differentiation of pilocytic astrocytoma from glioblastoma using a machine-learning framework based upon quantitative T1 perfusion MRI. Magnetic Resonance Imaging, 97, 63–71.

Skornitzke, S., Vats, N., Kopytova, T., Tong, E. W. Y., Hofbauer, T., Weber, T. F., Rehnitz, C., von Stackelberg, O., Maier-Hein, K., & Stiller, W. Asynchronous calibration of quantitative computed tomography bone mineral density assessment for opportunistic osteoporosis screening: Phantom-based validation and parameter influence evaluation. Scientific Reports, 12, Article 20478

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