R. S. Kamat
- Co-authors
- J TsengJohn J. CebraS.M. RobertsonPatricia J. GearhartChristopher S. HenneyKamal Dev SharmaDS ChitnisSatyajit Rath
- Topics
- Immune Cell Function and Interaction (7 papers)T-cell and B-cell Immunology (7 papers)Mycobacterium research and diagnosis (6 papers)
- Partner nations
- IndiaUnited StatesUnited Kingdom
In The Last Decade
R. S. Kamat
28 papers receiving 325 citations
Peers
Comparison fields: 5 of 61
- Immunology 173
- Molecular Biology 71
- Endocrinology 70
- Epidemiology 59
- Infectious Diseases 55
Countries citing papers authored by R. S. Kamat
This map shows the geographic impact of R. S. Kamat'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 R. S. Kamat with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. S. Kamat more than expected).
Fields of papers citing papers by R. S. Kamat
This network shows the impact of papers produced by R. S. Kamat. 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 R. S. Kamat. The network helps show where R. S. Kamat may publish in the future.
Co-authorship network of co-authors of R. S. Kamat
This figure shows the co-authorship network connecting the top 25 collaborators of R. S. Kamat. A scholar is included among the top collaborators of R. S. Kamat 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 R. S. Kamat. R. S. Kamat is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 16 | |
| 2 | 5 | |
| 3 | 5 | |
| 4 | Pathogenesis of route-related variation in T-suppressor response on immunization with mycobacteria. | 3 |
| 5 | 11 | |
| 6 | Anti-idiotypic humoral and cellular responses to antibody to hepatitis B surface antigen in hepatitis B viral infections. | 1 |
| 7 | 14 | |
| 8 | 6 | |
| 9 | 10 | |
| 10 | Cell mediated immunity cross-reactions of mycobacteria: polymorphism of target bacterial antigens. | 3 |
| 11 | 6 | |
| 12 | 2 | |
| 13 | 8 | |
| 14 | 6 | |
| 15 | 92 | |
| 16 | 15 | |
| 17 | 43 | |
| 18 | Studies on T cell clonal expansion. II. The in vitro differentiation of pre-killer and memory T cells. | 15 |
| 19 | 15 | |
| 20 | Studies on T cell clonal expansion. I. Suppression of killer T cell production in vivo. | 19 |
About R. S. Kamat
R. S. Kamat is a scholar working on Endocrinology, Immunology and Infectious Diseases, having authored 28 papers that have together received 372 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers) and Mycobacterium research and diagnosis (6 papers). The work is most often cited by research in Endocrinology (70 citations), Immunology (173 citations) and Infectious Diseases (55 citations). R. S. Kamat has collaborated with scholars based in India, United States and United Kingdom. Frequent co-authors include J Tseng, John J. Cebra, S.M. Robertson, Patricia J. Gearhart, Christopher S. Henney, Kamal Dev Sharma, DS Chitnis, Satyajit Rath, Anna George and Soma Ghosh. Their work appears in journals such as The Journal of Immunology, Infection and Immunity and European Journal of Immunology.
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.