Deepika Singh | Natural Product Chemistry, Analytical Chemistry | Innovative Research Award

Published on by Life Science

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Innovative Research Award

Deepika Singh
Affiliation National Institute of Pharmaceutical Education & Research (NIPER) Mohali
Country India
Documents 61
Citations 1061
h-index 19
Subject Area Natural Product Chemistry, Analytical Chemistry
Event World Life Science Awards

Deepika Singh is a researcher associated with the National Institute of Pharmaceutical Education & Research (NIPER) Mohali, India. Her scholarly activities are primarily focused on natural product chemistry and analytical chemistry, contributing to the advancement of pharmaceutical sciences through research publications, analytical methodologies, and interdisciplinary investigations. With an established publication record and measurable citation impact, her work has contributed to scientific understanding within life science and pharmaceutical research domains.[1]

Abstract

This article presents an academic overview of Deepika Singh, highlighting her research activities, publication profile, scholarly influence, and relevance to the Innovative Research Award category under the World Life Science Awards. The overview emphasizes contributions to natural product chemistry and analytical chemistry, areas that remain central to modern pharmaceutical and life science research. Citation metrics and publication output indicate sustained engagement with scientific inquiry and knowledge dissemination.[1][2]

Keywords

Natural Product Chemistry; Analytical Chemistry; Pharmaceutical Sciences; Research Impact; Scientific Publications; Life Sciences; Citation Analysis; Innovative Research Award; NIPER Mohali; Academic Recognition.

Introduction

Research in pharmaceutical and life sciences increasingly relies on multidisciplinary approaches that integrate chemistry, biology, and analytical techniques. Researchers working in these domains contribute to the discovery, characterization, and evaluation of biologically relevant compounds and methodologies. Deepika Singh’s academic profile reflects engagement with these objectives through publications and research activities associated with natural products and analytical investigations.[1]

Research Profile

Deepika Singh is affiliated with the National Institute of Pharmaceutical Education & Research (NIPER) Mohali, one of India’s recognized institutions dedicated to advanced pharmaceutical education and research. Her documented scholarly output includes 61 indexed documents, while citation indicators demonstrate continued academic engagement and visibility within relevant scientific communities.[1]

  • Institutional affiliation with NIPER Mohali.
  • Research specialization in natural product chemistry.
  • Experience in analytical chemistry methodologies.

Research Contributions

The research contributions associated with Deepika Singh focus on advancing understanding of natural products and their analytical evaluation. Such work supports pharmaceutical development, quality assessment, compound characterization, and broader scientific exploration of biologically active substances. Contributions within analytical chemistry further facilitate methodological reliability and reproducibility across scientific investigations.[2][3]

  • Investigation of natural products and bioactive compounds.
  • Development and application of analytical methodologies.
  • Support for pharmaceutical and life science research initiatives.

Publications

The publication portfolio of Deepika Singh reflects sustained scientific productivity. Indexed articles, collaborative studies, and research outputs have contributed to scholarly discussions in chemistry and pharmaceutical sciences. The cumulative body of work demonstrates active participation in scientific communication and dissemination of research findings.[1]

  1. Peer-reviewed journal publications.
  2. Research articles in analytical chemistry.

Research Impact

Research impact is often evaluated using citation indicators and publication influence. Available scholarly metrics indicate that Deepika Singh’s work has accumulated 1,061 citations and an h-index of 19, suggesting that multiple publications have received recognition and engagement from the scientific community. These indicators provide evidence of academic visibility and relevance within her research areas.[1]

Award Suitability

The Innovative Research Award recognizes researchers whose scholarly efforts contribute to scientific advancement through originality, methodological rigor, and research dissemination. Deepika Singh’s publication record, citation profile, and specialization in natural product and analytical chemistry align with key evaluation considerations commonly associated with research excellence and innovation in life sciences. Her documented academic output provides a basis for consideration within this award category.[1]

Conclusion

Deepika Singh represents an active contributor to pharmaceutical and chemical sciences through research activities centered on natural product chemistry and analytical chemistry. Her scholarly record, citation metrics, and publication achievements demonstrate sustained participation in scientific research. These accomplishments support her relevance within academic recognition programs such as the Innovative Research Award under the World Life Science Awards framework.[1]

References

  1. Khurshaid, N., Shabir, N., Pala, A. H., Yadav, A. K., Singh, D., & Ashraf, N. (2025). Transcriptome wide analysis of MADS box genes in Crocus sativus and interplay of CstMADS19-CstMADS26 in orchestrating apocarotenoid biosynthesis. Gene, 932, 148893
    https://doi.org/10.1016/j.gene.2024.148893
  2. Gupta, S., Akhoon, B. A., Sharma, D., Singh, D., Kaul, S., & Dhar, M. K. (2025). Structural and functional characterization of genes and enzymes involved in withanolide biosynthesis in Physalis alkekengi L. Steroids, 214, 109557.
    https://doi.org/10.1016/j.steroids.2024.109557
  3. Sharma, V., Najar, I. N., Radha, A., Sharma, S., Kumar, S., Singh, D., Gandhi, S. G., & Kumar, V. (2026). Advanced integrated Eco-strategies for effective antibiotic waste management. Biodegradation, 37(1), 2.
    https://doi.org/10.1007/s10532-025-10228-z

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