Deepshika Ramanan
Impact in
- Immunology top 5%
- T-cell and B-cell Immunology
- Immune cells in cancer
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Parasitology top 5%
- Parasites and Host Interactions
Papers in
- Immunology 12
- T-cell and B-cell Immunology 9
- Immune Response and Inflammation 3
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- Gut microbiota and health 5
- Genomics and Chromatin Dynamics 1
- Co-authors
- Ken Cadwell (7 shared papers)P’ng Loke (2 shared papers)Rowann Bowcutt (2 shared papers)Mei San Tang (2 shared papers)Christophe O. Benoist (7 shared papers)Diane J. Mathis (6 shared papers)Richard Bonneau (1 shared paper)Yi Ding (1 shared paper)
- Journals
- Nature Immunology (4 papers)Proceedings of the National Academy of Sciences (3 papers)Cell (2 papers)Cell Host & Microbe (2 papers)Immunity (2 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Deepshika Ramanan
21 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 92
- Immunology 661
- Parasitology 181
- Molecular Biology 659
- Biological Psychiatry 14
- Genetics 240
Countries citing papers authored by Deepshika Ramanan
This map shows the geographic impact of Deepshika Ramanan'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 Deepshika Ramanan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Deepshika Ramanan more than expected).
Fields of papers citing papers by Deepshika Ramanan
This network shows the impact of papers produced by Deepshika Ramanan. 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 Deepshika Ramanan. The network helps show where Deepshika Ramanan may publish in the future.
Co-authors
The 25 scholars most cited alongside Deepshika Ramanan, 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 | 2016 | 329 | |
| 2 | 2021 | 246 | |
| 3 | 2014 | 237 | |
| 4 | 2020 | 136 | |
| 5 | 2021 | 135 | |
| 6 | 2018 | 134 | |
| 7 | 2021 | 129 | |
| 8 | 2016 | 119 | |
| 9 | 2013 | 100 | |
| 10 | 2023 | 89 | |
| 11 | 2011 | 70 | |
| 12 | 2024 | 59 | |
| 13 | 2020 | 56 | |
| 14 | 2021 | 29 | |
| 15 | 2023 | 17 | |
| 16 | 2024 | 16 | |
| 17 | 2018 | 12 | |
| 18 | 2022 | 10 | |
| 19 | 2025 | 4 | |
| 20 | 2025 | 2 |
About Deepshika Ramanan
Deepshika Ramanan is a scholar working on Immunology, Molecular Biology, Genetics, Parasitology and Gastroenterology, having authored 22 papers that have together received 1.9k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (9 papers), Gut microbiota and health (5 papers), Immune Response and Inflammation (3 papers), Inflammatory Bowel Disease (3 papers), Genomics and Chromatin Dynamics (1 paper), Gastrointestinal motility and disorders (1 paper), Academic Writing and Publishing (1 paper) and Cellular transport and secretion (1 paper). The work is most often cited by research in Immunology (661 citations), Parasitology (181 citations), Molecular Biology (659 citations), Biological Psychiatry (14 citations) and Genetics (240 citations). Deepshika Ramanan has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Ken Cadwell, P’ng Loke, Rowann Bowcutt, Mei San Tang, Christophe O. Benoist, Diane J. Mathis, Richard Bonneau, Yi Ding, Martin J. Blaser and Yvonne Ai Lian Lim. Their work appears in journals such as Nature Immunology, Proceedings of the National Academy of Sciences, Cell, Cell Host & Microbe and Immunity.
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.