Sugata Roy
Impact in
- Immunology top 5%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immune Response and Inflammation
- Immune cells in cancer
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
Papers in
-
- Tuberculosis Research and Epidemiology 11
- Immunology 10
- Immune Cell Function and Interaction 7
- Immune Response and Inflammation 4
- T-cell and B-cell Immunology 3
- Immune cells in cancer 3
- Co-authors
- Peter F. Barnes (3 shared papers)Ramakrishna Vankayalapati (4 shared papers)Ankita Garg (4 shared papers)Shiping Wu (3 shared papers)Monika Sharma (4 shared papers)Sadhna Sharma (4 shared papers)Harukazu Suzuki (10 shared papers)Frank Brombacher (9 shared papers)
- Journals
- The Journal of Immunology (4 papers)Immunology and Cell Biology (2 papers)PLoS ONE (2 papers)Scientific Reports (1 paper)Immunology (1 paper)
- Partner nations
- South AfricaJapanUnited States
In The Last Decade
Sugata Roy
22 papers receiving 969 citations
Peers
Comparison fields: 5 of 94
- Immunology 496
- Infectious Diseases 308
- Cancer Research 141
- Epidemiology 282
- Molecular Biology 297
Countries citing papers authored by Sugata Roy
This map shows the geographic impact of Sugata Roy'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 Sugata Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sugata Roy more than expected).
Fields of papers citing papers by Sugata Roy
This network shows the impact of papers produced by Sugata Roy. 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 Sugata Roy. The network helps show where Sugata Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Sugata Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2006 | 144 | |
| 2 | 2008 | 127 | |
| 3 | 2016 | 91 | |
| 4 | 2008 | 85 | |
| 5 | 2015 | 80 | |
| 6 | 2007 | 62 | |
| 7 | 2018 | 61 | |
| 8 | 2004 | 60 | |
| 9 | 2015 | 47 | |
| 10 | 2004 | 39 | |
| 11 | 2015 | 32 | |
| 12 | 2019 | 27 | |
| 13 | 2009 | 25 | |
| 14 | 2018 | 23 | |
| 15 | 2015 | 22 | |
| 16 | 2015 | 17 | |
| 17 | 2022 | 12 | |
| 18 | 2014 | 11 | |
| 19 | Sepsis-induced release of interleukin-6 may activate the immediate-early gene program through a hypothalamic-hypophyseal mechanism. | 1994 | 9 |
| 20 | 2021 | 3 |
About Sugata Roy
Sugata Roy is a scholar working on Infectious Diseases, Immunology, Epidemiology, Oncology and Molecular Biology, having authored 22 papers that have together received 980 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (11 papers), Immune Cell Function and Interaction (7 papers), Cytokine Signaling Pathways and Interactions (6 papers), Mycobacterium research and diagnosis (5 papers), Immune Response and Inflammation (4 papers), T-cell and B-cell Immunology (3 papers), Immune cells in cancer (3 papers) and MicroRNA in disease regulation (2 papers). The work is most often cited by research in Immunology (496 citations), Infectious Diseases (308 citations), Cancer Research (141 citations), Epidemiology (282 citations) and Molecular Biology (297 citations). Sugata Roy has collaborated with scholars based in South Africa, Japan and United States. Frequent co-authors include Peter F. Barnes, Ramakrishna Vankayalapati, Ankita Garg, Shiping Wu, Monika Sharma, Sadhna Sharma, Harukazu Suzuki, Frank Brombacher, Reto Guler and David Cosman. Their work appears in journals such as The Journal of Immunology, Immunology and Cell Biology, PLoS ONE, Scientific Reports and 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.