Shantaram Kamath
- Molecular Biology
- Organic Chemistry top 10%
- Oncology
- Computational Theory and Mathematics top 5%
- Virology top 10%
- Co-authors
- John K. BuolamwiniTuck C. WongShivaputra A. PatilHaregewein AssefaRaymond F. SchinaziNouri NeamatiTino W. SanchezChristopher L. Morton
- Topics
- Protein Structure and Dynamics (4 papers)HER2/EGFR in Cancer Research (4 papers)HIV Research and Treatment (3 papers)
- Cited by
- VirologyOrganic ChemistryOncology
- Partner nations
- United StatesIndiaPoland
In The Last Decade
Shantaram Kamath
21 papers receiving 611 citations
Peers
Comparison fields: 5 of 77
- Molecular Biology 338
- Organic Chemistry 249
- Oncology 141
- Computational Theory and Mathematics 78
- Virology 71
Countries citing papers authored by Shantaram Kamath
This map shows the geographic impact of Shantaram Kamath'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 Shantaram Kamath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shantaram Kamath more than expected).
Fields of papers citing papers by Shantaram Kamath
This network shows the impact of papers produced by Shantaram Kamath. 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 Shantaram Kamath. The network helps show where Shantaram Kamath may publish in the future.
Co-authorship network of co-authors of Shantaram Kamath
This figure shows the co-authorship network connecting the top 25 collaborators of Shantaram Kamath. A scholar is included among the top collaborators of Shantaram Kamath 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 Shantaram Kamath. Shantaram Kamath is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 115 | |
| 2 | 96 | |
| 3 | 1 | |
| 4 | 89 | |
| 5 | 1 | |
| 6 | 59 | |
| 7 | 51 | |
| 8 | 64 | |
| 9 | 11 | |
| 10 | 59 | |
| 11 | 4 | |
| 12 | 7 | |
| 13 | 1 | |
| 14 | An investigation of the conformation of peptide-T and its D-Ala analog by NMR and molecular dynamics simulations. | 2 |
| 15 | 4 | |
| 16 | 2 | |
| 17 | 3 | |
| 18 | NMR and molecular dynamics studies of tachykinins: conformation of the C-terminal pentapeptide of substance P(SP7-11). | 2 |
| 19 | 3 | |
| 20 | 1 |
About Shantaram Kamath
Shantaram Kamath is a scholar working on Virology, Toxicology and Oncology, having authored 21 papers that have together received 623 indexed citations. Recurring topics across this work include Protein Structure and Dynamics (4 papers), HER2/EGFR in Cancer Research (4 papers) and HIV Research and Treatment (3 papers). The work is most often cited by research in Virology (71 citations), Organic Chemistry (249 citations) and Oncology (141 citations). Shantaram Kamath has collaborated with scholars based in United States, India and Poland. Frequent co-authors include John K. Buolamwini, Tuck C. Wong, Shivaputra A. Patil, Haregewein Assefa, Raymond F. Schinazi, Nouri Neamati, Tino W. Sanchez, Christopher L. Morton, Kuntebommanahalli N. Thimmaiah and Peter J. Houghton. Their work appears in journals such as Journal of Biological Chemistry, Biophysical Journal 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.