Kaushik Raha
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- Computational Drug Discovery Methods 6
- Molecular Biology top 10%
- Protein Structure and Dynamics 6
- PI3K/AKT/mTOR signaling in cancer 3
- Cancer therapeutics and mechanisms 2
- Enzyme function and inhibition 2
- Biochemical and Molecular Research 2
- Toxicology top 10%
- Bioactive Compounds and Antitumor Agents 2
- Organic Chemistry top 10%
- Synthesis and biological activity 2
- Co-authors
- Kenneth M. MerzMartin PetersAndrew M. WollacottBing WangLance M. WesterhoffNing YuMartha S. HeadMichael J. Italia
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of the American Chemical Society (3 papers)Journal of Medicinal Chemistry (1 paper)
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Kaushik Raha
16 papers receiving 922 citations
Peers
Comparison fields: 5 of 82
- Computational Theory and Mathematics 374
- Molecular Biology 709
- Toxicology 34
- Organic Chemistry 212
- Physical and Theoretical Chemistry 66
Countries citing papers authored by Kaushik Raha
This map shows the geographic impact of Kaushik Raha'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 Kaushik Raha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kaushik Raha more than expected).
Fields of papers citing papers by Kaushik Raha
This network shows the impact of papers produced by Kaushik Raha. 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 Kaushik Raha. The network helps show where Kaushik Raha may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kaushik Raha, 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 | 2019 | 23 | |
| 2 | 2017 | 9 | |
| 3 | 2017 | 64 | |
| 4 | 2013 | 10 | |
| 5 | 2012 | 42 | |
| 6 | 2012 | 31 | |
| 7 | 2009 | 65 | |
| 8 | 2007 | 218 | |
| 9 | Quantum mechanics in structure-based drug design. | 2006 | 51 |
| 10 | 2005 | 34 | |
| 11 | 2005 | 176 | |
| 12 | 2004 | 20 | |
| 13 | 2004 | 134 | |
| 14 | 2000 | 64 | |
| 15 | 1998 | 2 | |
| 16 | 1996 | 6 |
About Kaushik Raha
Kaushik Raha is a scholar working on Toxicology, Computational Theory and Mathematics and Pharmacology, having authored 16 papers that have together received 949 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (6 papers), Computational Drug Discovery Methods (6 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer therapeutics and mechanisms (2 papers), Bioactive Compounds and Antitumor Agents (2 papers), Synthesis and biological activity (2 papers), Enzyme function and inhibition (2 papers) and Biochemical and Molecular Research (2 papers). The work is most often cited by research in Computational Theory and Mathematics (374 citations), Molecular Biology (709 citations) and Toxicology (34 citations). Kaushik Raha has collaborated with scholars based in United States, India and United Kingdom. Frequent co-authors include Kenneth M. Merz, Martin Peters, Andrew M. Wollacott, Bing Wang, Lance M. Westerhoff, Ning Yu, Martha S. Head, Michael J. Italia, Ian Davis and John R. Desjarlais. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Medicinal Chemistry.
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.