Saranya Devi S | Computational Biology | Women Researcher Award

Women Researcher Award

Saranya Devi S

Saveetha Institute of Medical and Technical Sciences, India

Saranya Devi S
Affiliation Saveetha Institute of Medical and Technical Sciences
Country India
Scopus ID 58175373800 
Documents 33
Citations 176
h-index 6
Subject Area Computational Biology
Event International Young Scientist Award
ORCID 0000-0001-6938-5066

Saranya Devi S is a researcher affiliated with Saveetha Institute of Medical and Technical Sciences, India. Her stated research area is computational biology, an interdisciplinary field combining computational methods, biological data analysis, and mathematical modelling to investigate biological systems. Her supplied bibliometric information provides an overview of research publications and citation activity.

Abstract

This article presents a concise overview of Saranya Devi S’s reported research profile in computational biology. The supplied metrics indicate 33 documents, 176 citations, and an h-index of 6. These indicators provide quantitative context for examining scholarly output and citation visibility, although they should be interpreted alongside verified publications and their scientific contributions. [1]

Keywords

Women researcher, computational biology, bioinformatics, scientific publications, citation analysis, research impact, scholarly communication.

Introduction

Computational biology applies computational and statistical approaches to biological questions. Research in this field can support the analysis of complex datasets, biological modelling, and the interpretation of molecular processes. Researchers contribute through publications, methodological development, collaboration, and reproducible scientific findings. [2]

Research Profile

The supplied profile associates Saranya Devi S with Saveetha Institute of Medical and Technical Sciences in India. Her reported bibliometric indicators are 33 documents, 176 citations, and an h-index of 6. The supplied Scopus and ORCID identifiers contain conflicting alternatives and should be verified before publication.

Research Contributions

Her stated subject area places the profile within computational biology. Specific contributions, research methods, and discoveries should be described using verified publications rather than inferred from bibliometric data alone.

Publications

The supplied information reports 33 research documents. Individual publication titles, journal details, publication years, and DOIs require confirmation against the researcher’s verified bibliographic records.

Research Impact

The reported 176 citations and h-index of 6 offer indicators of citation activity. Such measures vary across disciplines and databases and do not independently establish research quality, originality, or societal impact. [3]

Award Suitability

The Women Researcher Award profile may be considered in the context of the International Young Scientist Award. Assessment should consider verified publications, individual contributions, originality, research integrity, and alignment with the event’s eligibility criteria. This profile does not itself confirm an award decision.

Conclusion

Saranya Devi S’s supplied profile reports research activity in computational biology, with 33 documents, 176 citations, and an h-index of 6. Verification of identifiers and publication records is recommended to ensure accuracy and transparency.

References

  1. Elsevier. (n.d.). Scopus: Abstract and citation database.
    https://www.scopus.com/authid/detail.uri?authorId=57337380700
  2. National Center for Biotechnology Information. (n.d.). NCBI resources for biological research. https://www.ncbi.nlm.nih.gov/
  3. Hirsch, J. E. (2005). An index to quantify an individual’s scientific research output. Proceedings of the National Academy of Sciences, 102(46), 16569–16572.
    https://doi.org/10.1073/pnas.0507655102

Rajnandani Kashyap | Structural Biology | Best Researcher Award

Mrs. Rajnandani Kashyap | Structural Biology | Best Researcher Award

 Saint Louis University, United States

Dr. Rajnandani Kashyap is a structural biologist and postdoctoral fellow at Saint Louis University, USA, specializing in cryo-EM and X-ray crystallography, with impactful research in enzymology, nitrogenase complexes, and bio-catalysis; an award-winning scientist with global experience, she bridges molecular biology with structural insights and scientific mentorship.

Profile

Scopus

Orcid

Scholar

🎓 Education 

Dr. Kashyap earned her Ph.D. in Applied Biology from CSIR-IICT (AcSIR) as a DST-INSPIRE fellow (CGPA: 9.04), completed her B.Tech. in Biotechnology from Amity University with a gold medal (CGPA: 9.04), and holds strong academic foundations from St. Thomas Sr. Sec. School; she also trained as a Research Assistant at IISER Pune.

💼 Experience 

Dr. Kashyap has over a decade of scientific experience including postdoctoral research at SLU, research at IISER Pune, structural work with nitrogenase supercomplexes, mentoring MD/PhD students, leading projects across protein structure, enzymology, and bioinformatics, and hosting global conferences and symposia.

🏆 Awards and Honors 

She has received over a dozen prestigious awards including Best Poster (SLU 2025 & 2023), multiple oral presentation awards (India, USA), international travel awards (EMBO, ACA), DST-INSPIRE fellowship, and gold medal for university rank, recognizing her excellence in research, presentation, and communication.

🔬 Research Focus 

Dr. Kashyap focuses on structural enzymology using cryo-EM and X-ray crystallography to explore redox systems, nitrogenase-like complexes, ribosomal interactions, and bio-catalytic mechanisms, integrating molecular biology, biochemistry, and protein engineering for mechanistic and therapeutic insights.

 Conclusion

Dr. Rajnandani Kashyap stands out as an outstanding contender for the Best Researcher Award. Her robust academic background, high-impact structural discoveries, and active engagement in scholarly dissemination and mentorship reflect a researcher of rare distinction. With her trajectory, technical command, and international recognition, she exemplifies the qualities of a globally impactful scientist. Continued focus on leadership roles and grant acquisition will propel her further into the top echelons of biomedical and structural research.

📝Publications 

1. Title: Discovery of a new class of type 1 methionine aminopeptidases that have relaxed substrate specificity
Year: 2019
Authors: SC Bala, N Haque, V Pillalamarri, R Reddi, R Kashyap, AK Marapaka, …
Citations: 13

2. Title: Exo-selective intermolecular Diels–Alder reaction by PyrI4 and AbnU on non-natural substrates
Year: 2021
Authors: R Kashyap, NV Yerra, J Oja, S Bala, GR Potuganti, JR Thota, M Alla, …
Citations: 5

3. Title: Strategic enzymatic enantioselective desymmetrization of prochiral cyclohexa-2,5-dienones
Year: 2024
Authors: N KumaráNagendla, MK ReddyáMudiam
Citations: 2

4. Title: Cryo-EM captures the coordination of asymmetric electron transfer through a di-copper site in DPOR
Year: 2025
Authors: R Kashyap, N Walsh, J Deveryshetty, M Tokmina-Lukaszewska, K Zhao, …

5. Title: Cryo-EM reveals a bi-copper cluster coordinating asymmetric electron transfer in the nitrogenase-like DPOR complex
Year: 2025
Authors: R Kashyap, J Deveryshetty, N Walsh, B Bennett, E Antony

6. Title: Cryo-EM captures the coordination of long-range allostery and asymmetric electron transfer by a bi-copper cluster in the nitrogenase-like DPOR complex
Year: 2024
Authors: R Kashyap, J Deveryshetty, N Walsh, M Tokmina-Lukaszewska, …

7. Title: Insights into assembly of constitutive filament-forming proteins of novel fold through domain dissection and EGFP insertion-based screen: A case study of Spiroplasma Fibril
Year: 2023
Authors: M Bapat, S Harne, R Kashyap, P Gayathri

8. Title: Cryo-EM Reveals the Structural Origins of Asymmetric Electron Transfer in Nitrogenase-Like Enzymes
Year: 2023
Authors: R Kashyap, J Deveryshetty, E Antony

9. Title: Structural and functional characterization of β barrel proteins involved in intermolecular Diels-Alder reaction
Year: 2022
Author: R Kashyap