E. Prabhu Raman
- Molecular Biology top 5%
- Computational Theory and Mathematics top 0.5%
- Materials Chemistry top 10%
- Organic Chemistry top 5%
- Atomic and Molecular Physics, and Optics top 10%
- Co-authors
- Alexander D. MacKerellKenno VanommeslaegheOlgun GuvenchWenbo YuSirish Kaushik LakkarajuElizabeth HatcherSairam S. MallajosyulaDmitri K. Klimov
- Topics
- Protein Structure and Dynamics (21 papers)Computational Drug Discovery Methods (16 papers)Enzyme Structure and Function (7 papers)
- Journals
- Journal of the American Chemical SocietyThe Journal of Chemical PhysicsJournal of Molecular Biology
- Partner nations
- United StatesIndia
In The Last Decade
E. Prabhu Raman
29 papers receiving 2.9k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Molecular Biology 2.0k
- Computational Theory and Mathematics 697
- Materials Chemistry 463
- Organic Chemistry 360
- Atomic and Molecular Physics, and Optics 281
Countries citing papers authored by E. Prabhu Raman
This map shows the geographic impact of E. Prabhu Raman'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 E. Prabhu Raman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Prabhu Raman more than expected).
Fields of papers citing papers by E. Prabhu Raman
This network shows the impact of papers produced by E. Prabhu Raman. 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 E. Prabhu Raman. The network helps show where E. Prabhu Raman may publish in the future.
Co-authorship network of co-authors of E. Prabhu Raman
This figure shows the co-authorship network connecting the top 25 collaborators of E. Prabhu Raman. A scholar is included among the top collaborators of E. Prabhu Raman 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 E. Prabhu Raman. E. Prabhu Raman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 57 | |
| 2 | 11 | |
| 3 | 27 | |
| 4 | 47 | |
| 5 | 23 | |
| 6 | 42 | |
| 7 | 29 | |
| 8 | 62 | |
| 9 | 52 | |
| 10 | 75 | |
| 11 | 21 | |
| 12 | 20 | |
| 13 | 26 | |
| 14 | 22 | |
| 15 | 29 | |
| 16 | 21 | |
| 17 | 51 | |
| 18 | 14 | |
| 19 | 10 | |
| 20 | 2 |
About E. Prabhu Raman
E. Prabhu Raman is a scholar working on Computational Theory and Mathematics, Molecular Biology and Spectroscopy, having authored 29 papers that have together received 3.0k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (21 papers), Computational Drug Discovery Methods (16 papers) and Enzyme Structure and Function (7 papers). The work is most often cited by research in Computational Theory and Mathematics (697 citations), Molecular Biology (2.0k citations) and Spectroscopy (260 citations). E. Prabhu Raman has collaborated with scholars based in United States and India. Frequent co-authors include Alexander D. MacKerell, Kenno Vanommeslaeghe, Olgun Guvench, Wenbo Yu, Sirish Kaushik Lakkaraju, Elizabeth Hatcher, Sairam S. Mallajosyula, Dmitri K. Klimov, Takako Takeda and Lei Fang. Their work appears in journals such as Journal of the American Chemical Society, The Journal of Chemical Physics and Journal of Molecular Biology.
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.