Devina Divekar
Impact in
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
- Transplantation top 10%
Papers in
-
- T-cell and B-cell Immunology 3
- Immune Cell Function and Interaction 3
- Immunotherapy and Immune Responses 2
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- Gut microbiota and health 4
- Epigenetics and DNA Methylation 1
- Co-authors
- Kenneth G. C. Smith (2 shared papers)Michelle A. Linterman (3 shared papers)Laura Beaton (2 shared papers)Wim Pierson (2 shared papers)Tim F. Rayner (2 shared papers)Sau K. Lee (1 shared paper)Monika Srivastava (2 shared papers)Jennifer J. Hogan (2 shared papers)
- Journals
- Gastroenterology (2 papers)Nature Medicine (1 paper)Immunology (1 paper)Autophagy (1 paper)Disease Models & Mechanisms (1 paper)
- Partner nations
- United KingdomGermanyBelgium
In The Last Decade
Devina Divekar
10 papers receiving 1.3k citations
Devina Divekar's Hit Papers
Peers
Comparison fields: 5 of 83
- Immunology 970
- Transplantation 32
- Virology 51
- Oncology 138
- Rheumatology 63
Countries citing papers authored by Devina Divekar
This map shows the geographic impact of Devina Divekar'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 Devina Divekar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Devina Divekar more than expected).
Fields of papers citing papers by Devina Divekar
This network shows the impact of papers produced by Devina Divekar. 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 Devina Divekar. The network helps show where Devina Divekar may publish in the future.
Co-authors
The 25 scholars most cited alongside Devina Divekar, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Foxp3+ follicular regulatory T cells control the germinal center response Hit paper breakdown → | 2011 | 1007 |
| 2 | 2019 | 99 | |
| 3 | 2014 | 90 | |
| 4 | 2018 | 77 | |
| 5 | 2019 | 20 | |
| 6 | Foxp3( ) follicular regulatory T cells control T follicular helper cells and the germinal centre response | 2011 | 4 |
| 7 | 2020 | 2 | |
| 8 | 2019 | 2 | |
| 9 | 2018 | 2 | |
| 10 | 2019 | 1 |
About Devina Divekar
Devina Divekar is a scholar working on Immunology, Molecular Biology, Infectious Diseases, Epidemiology and Genetics, having authored 10 papers that have together received 1.3k indexed citations. Recurring topics across this work include Gut microbiota and health (4 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Digestive system and related health (2 papers), Immunotherapy and Immune Responses (2 papers), Clostridium difficile and Clostridium perfringens research (2 papers), Autophagy in Disease and Therapy (2 papers) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Immunology (970 citations), Transplantation (32 citations), Virology (51 citations), Oncology (138 citations) and Rheumatology (63 citations). Devina Divekar has collaborated with scholars based in United Kingdom, Germany and Belgium. Frequent co-authors include Kenneth G. C. Smith, Michelle A. Linterman, Laura Beaton, Wim Pierson, Tim F. Rayner, Sau K. Lee, Monika Srivastava, Jennifer J. Hogan, Axel Kallies and Carola G. Vinuesa. Their work appears in journals such as Gastroenterology, Nature Medicine, Immunology, Autophagy and Disease Models & Mechanisms.
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.