Tapesh Santra
Impact in
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- Bioinformatics and Genomic Networks
- Gene Regulatory Network Analysis
- Gene expression and cancer classification
- Single-cell and spatial transcriptomics
- Microbial Metabolic Engineering and Bioproduction
- Protein Kinase Regulation and GTPase Signaling
Papers in
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- Bioinformatics and Genomic Networks 10
- Gene Regulatory Network Analysis 8
- Gene expression and cancer classification 6
- Microbial Metabolic Engineering and Bioproduction 2
- Epigenetics and DNA Methylation 1
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- Computational Drug Discovery Methods 2
- Co-authors
- Walter Kölch (10 shared papers)Boris Ν. Kholodenko (7 shared papers)Melinda Halász (1 shared paper)Oleksii S. Rukhlenko (3 shared papers)Vadim Zhernovkov (2 shared papers)James A. L. Brown (1 shared paper)Ruth C. Lovering (1 shared paper)Ian Evans (1 shared paper)
- Journals
- Scientific Reports (4 papers)Current Opinion in Systems Biology (1 paper)Science Signaling (1 paper)Journal of Personalized Medicine (1 paper)Toxicological Sciences (1 paper)
- Partner nations
- IrelandUnited StatesIndia
In The Last Decade
Tapesh Santra
16 papers receiving 255 citations
Peers
Comparison fields: 5 of 56
- Molecular Biology 207
- Biophysics 15
- Modeling and Simulation 8
- Computational Theory and Mathematics 28
- Cell Biology 24
Countries citing papers authored by Tapesh Santra
This map shows the geographic impact of Tapesh Santra's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tapesh Santra with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tapesh Santra more than expected).
Fields of papers citing papers by Tapesh Santra
This network shows the impact of papers produced by Tapesh Santra. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tapesh Santra. The network helps show where Tapesh Santra may publish in the future.
Co-authors
The 25 scholars most cited alongside Tapesh Santra, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 50 | |
| 2 | 2019 | 34 | |
| 3 | 2016 | 31 | |
| 4 | 2013 | 29 | |
| 5 | 2016 | 26 | |
| 6 | 2018 | 17 | |
| 7 | 2014 | 15 | |
| 8 | 2014 | 13 | |
| 9 | 2018 | 12 | |
| 10 | 2011 | 6 | |
| 11 | 2014 | 6 | |
| 12 | 2019 | 5 | |
| 13 | 2018 | 5 | |
| 14 | 2016 | 4 | |
| 15 | 2017 | 3 | |
| 16 | 2022 | 2 |
About Tapesh Santra
Tapesh Santra is a scholar working on Molecular Biology, Computational Theory and Mathematics, Cell Biology, Clinical Biochemistry and Pharmacology, having authored 16 papers that have together received 258 indexed citations. Recurring topics across this work include Bioinformatics and Genomic Networks (10 papers), Gene Regulatory Network Analysis (8 papers), Gene expression and cancer classification (6 papers), Computational Drug Discovery Methods (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers), Pharmacogenetics and Drug Metabolism (1 paper), Advanced Proteomics Techniques and Applications (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Molecular Biology (207 citations), Biophysics (15 citations), Modeling and Simulation (8 citations), Computational Theory and Mathematics (28 citations) and Cell Biology (24 citations). Tapesh Santra has collaborated with scholars based in Ireland, United States and India. Frequent co-authors include Walter Kölch, Boris Ν. Kholodenko, Melinda Halász, Oleksii S. Rukhlenko, Vadim Zhernovkov, James A. L. Brown, Ruth C. Lovering, Ian Evans, Gary Britton and Frank Barry. Their work appears in journals such as Scientific Reports, Current Opinion in Systems Biology, Science Signaling, Journal of Personalized Medicine and Toxicological Sciences.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.