Kaushik Raha
- Molecular Biology top 10%
- Computational Theory and Mathematics top 1%
- Organic Chemistry top 10%
- Materials Chemistry
- Oncology
- Co-authors
- Kenneth M. MerzMartin PetersAndrew M. WollacottBing WangLance M. WesterhoffNing YuMartha S. HeadMichael J. Italia
- Topics
- Protein Structure and Dynamics (6 papers)Computational Drug Discovery Methods (6 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of the American Chemical SocietyJournal of Medicinal Chemistry
- Partner nations
- United StatesIndiaUnited Kingdom
In The Last Decade
Kaushik Raha
16 papers receiving 922 citations
Peers
Comparison fields: 5 of 82
- Molecular Biology 709
- Computational Theory and Mathematics 374
- Organic Chemistry 212
- Materials Chemistry 165
- Oncology 82
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 of co-authors of Kaushik Raha
This figure shows the co-authorship network connecting the top 25 collaborators of Kaushik Raha. A scholar is included among the top collaborators of Kaushik Raha based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kaushik Raha. Kaushik Raha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 9 | |
| 3 | 64 | |
| 4 | 10 | |
| 5 | 42 | |
| 6 | 31 | |
| 7 | 65 | |
| 8 | 218 | |
| 9 | Quantum mechanics in structure-based drug design. | 51 |
| 10 | 34 | |
| 11 | 176 | |
| 12 | 20 | |
| 13 | 134 | |
| 14 | 64 | |
| 15 | 2 | |
| 16 | 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) and PI3K/AKT/mTOR signaling in cancer (3 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.