Tanmay Chavan
Impact in
- Molecular Biology top 10%
- Protein Kinase Regulation and GTPase Signaling
- Melanoma and MAPK Pathways
- PI3K/AKT/mTOR signaling in cancer
- Ion channel regulation and function
- Protein Structure and Dynamics
- Receptor Mechanisms and Signaling
- Cell death mechanisms and regulation
- Cell Biology top 10%
Papers in
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- Protein Kinase Regulation and GTPase Signaling 7
- Cell death mechanisms and regulation 3
- Ion channel regulation and function 3
- Ion Transport and Channel Regulation 2
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- Topic Modeling 4
- Hate Speech and Cyberbullying Detection 2
- Natural Language Processing Techniques 2
- Co-authors
- Vadim Gaponenko (9 shared papers)Nissim Hay (1 shared paper)Andrei L. Gartel (1 shared paper)Hyunbum Jang (6 shared papers)Ming Wang (1 shared paper)Ruth Nussinov (6 shared papers)Marianna Halasi (1 shared paper)Nadya I. Tarasova (4 shared papers)
- Journals
- Proceedings of the National Academy of Sciences (2 papers)eLife (2 papers)Journal of Biological Chemistry (2 papers)Biophysical Journal (1 paper)The FASEB Journal (1 paper)
- Partner nations
- United StatesIndiaIsrael
In The Last Decade
Tanmay Chavan
16 papers receiving 948 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 703
- Cell Biology 131
- Oncology 97
- Cellular and Molecular Neuroscience 62
- Immunology 58
Countries citing papers authored by Tanmay Chavan
This map shows the geographic impact of Tanmay Chavan'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 Tanmay Chavan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tanmay Chavan more than expected).
Fields of papers citing papers by Tanmay Chavan
This network shows the impact of papers produced by Tanmay Chavan. 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 Tanmay Chavan. The network helps show where Tanmay Chavan may publish in the future.
Co-authors
The 25 scholars most cited alongside Tanmay Chavan, 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 | 2013 | 309 | |
| 2 | 2015 | 169 | |
| 3 | 2015 | 93 | |
| 4 | 2015 | 68 | |
| 5 | 2015 | 67 | |
| 6 | 2015 | 62 | |
| 7 | 2017 | 39 | |
| 8 | 2016 | 34 | |
| 9 | 2015 | 34 | |
| 10 | 2020 | 28 | |
| 11 | 2013 | 19 | |
| 12 | 2018 | 18 | |
| 13 | 2023 | 3 | |
| 14 | 2022 | 3 | |
| 15 | 2023 | 2 | |
| 16 | 2023 | 1 | |
| 17 | 2025 | 0 | |
| 18 | 2022 | 0 |
About Tanmay Chavan
Tanmay Chavan is a scholar working on Molecular Biology, Artificial Intelligence, Cellular and Molecular Neuroscience, Cell Biology and Organic Chemistry, having authored 18 papers that have together received 949 indexed citations. Recurring topics across this work include Protein Kinase Regulation and GTPase Signaling (7 papers), Topic Modeling (4 papers), Cell death mechanisms and regulation (3 papers), Neuroscience and Neuropharmacology Research (3 papers), Ion channel regulation and function (3 papers), Ion Transport and Channel Regulation (2 papers), Hate Speech and Cyberbullying Detection (2 papers) and Natural Language Processing Techniques (2 papers). The work is most often cited by research in Molecular Biology (703 citations), Cell Biology (131 citations), Oncology (97 citations), Cellular and Molecular Neuroscience (62 citations) and Immunology (58 citations). Tanmay Chavan has collaborated with scholars based in United States, India and Israel. Frequent co-authors include Vadim Gaponenko, Nissim Hay, Andrei L. Gartel, Hyunbum Jang, Ming Wang, Ruth Nussinov, Marianna Halasi, Nadya I. Tarasova, Lyuba Khavrutskii and Sherwin J. Abraham. Their work appears in journals such as Proceedings of the National Academy of Sciences, eLife, Journal of Biological Chemistry, Biophysical Journal and The FASEB Journal.
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.