Deepshika Ramanan

2.4k total citations · 1 hit paper
14 papers, 1.2k citations indexed

About

Deepshika Ramanan is a scholar working on Molecular Biology, Immunology and Infectious Diseases. According to data from OpenAlex, Deepshika Ramanan has authored 14 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Infectious Diseases. Recurrent topics in Deepshika Ramanan's work include Immune Cell Function and Interaction (6 papers), Gut microbiota and health (6 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Deepshika Ramanan is often cited by papers focused on Immune Cell Function and Interaction (6 papers), Gut microbiota and health (6 papers) and Clostridium difficile and Clostridium perfringens research (4 papers). Deepshika Ramanan collaborates with scholars based in United States, Israel and Malaysia. Deepshika Ramanan's co-authors include Ken Cadwell, P’ng Loke, Rowann Bowcutt, Mei San Tang, Diane Mathis, Christophe Benoıst, William C. Gause, Zachary Kurtz, Yvonne Ai Lian Lim and Soo Ching Lee and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Deepshika Ramanan

13 papers receiving 1.2k citations

Hit Papers

Helminth infection promotes colonization resistance via t... 2016 2026 2019 2022 2016 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Helminth infection promotes colonization resistance via type 2 immunity
    2016 300 citations Deepshika Ramanan, Rowann Bowcutt et al. Science profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Deepshika Ramanan United States 11 613 397 241 183 151 14 1.2k
Katherine Harcourt United Kingdom 15 399 0.7× 361 0.9× 197 0.8× 157 0.9× 110 0.7× 27 1.1k
Jiani Chai United States 12 682 1.1× 415 1.0× 226 0.9× 113 0.6× 177 1.2× 22 1.3k
Rowann Bowcutt United States 9 418 0.7× 227 0.6× 218 0.9× 80 0.4× 127 0.8× 12 798
Hiroyuki Tezuka Japan 13 321 0.5× 720 1.8× 215 0.9× 159 0.9× 77 0.5× 43 1.3k
Michael P. Murtaugh United States 25 470 0.8× 567 1.4× 243 1.0× 196 1.1× 144 1.0× 69 1.8k
Uma Mahesh Gundra United States 16 699 1.1× 673 1.7× 304 1.3× 138 0.8× 65 0.4× 19 1.7k
William Horsnell South Africa 24 301 0.5× 546 1.4× 297 1.2× 223 1.2× 102 0.7× 65 1.5k
Eiichi Momotani Japan 21 475 0.8× 417 1.1× 222 0.9× 538 2.9× 118 0.8× 83 1.6k
Myriam Delacre France 19 287 0.5× 378 1.0× 115 0.5× 224 1.2× 130 0.9× 37 1.1k
Jason L. Kubinak United States 16 634 1.0× 308 0.8× 271 1.1× 89 0.5× 199 1.3× 33 1.2k

Countries citing papers authored by Deepshika Ramanan

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Deepshika Ramanan

This figure shows the co-authorship network connecting the top 25 collaborators of Deepshika Ramanan. A scholar is included among the top collaborators of Deepshika Ramanan 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 Deepshika Ramanan. Deepshika Ramanan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Wong, Serre-Yu, María Manuela Estevinho, T. G. Heaney, et al.. (2025). Goblet Cell Loss Linked to NOD2 and Secondary Resection in Crohn’s Disease Is Induced by Dysbiosis and Epithelial MyD88. Cellular and Molecular Gastroenterology and Hepatology. 19(12). 101533–101533.
2.
Ramanan, Deepshika, Kaitavjeet Chowdhary, Serge M. Candéias, et al.. (2023). Homeostatic, repertoire and transcriptional relationships between colon T regulatory cell subsets. Proceedings of the National Academy of Sciences. 120(50). e2311566120–e2311566120. 11 indexed citations
3.
Ramanan, Deepshika, Alvin Pratama, Yangyang Zhu, et al.. (2023). Regulatory T cells in the face of the intestinal microbiota. Nature reviews. Immunology. 23(11). 749–762. 63 indexed citations
4.
Sassone‐Corsi, Martina, Deepshika Ramanan, Adriana Ortiz-Lopez, et al.. (2022). Sequestration of gut pathobionts in intraluminal casts, a mechanism to avoid dysregulated T cell activation by pathobionts. Proceedings of the National Academy of Sciences. 119(41). e2209624119–e2209624119. 8 indexed citations
5.
Yan, Yiqing, Deepshika Ramanan, Milena Rozenberg, et al.. (2021). Interleukin-6 produced by enteric neurons regulates the number and phenotype of microbe-responsive regulatory T cells in the gut. Immunity. 54(3). 499–513.e5. 100 indexed citations
6.
Ramanan, Deepshika, Esen Sefik, Silvia Galván-Peña, et al.. (2020). An Immunologic Mode of Multigenerational Transmission Governs a Gut Treg Setpoint. Cell. 181(6). 1276–1290.e13. 114 indexed citations
7.
DiSpirito, Joanna R., David Zemmour, Deepshika Ramanan, et al.. (2018). Molecular diversification of regulatory T cells in nonlymphoid tissues. Science Immunology. 3(27). 113 indexed citations
8.
Wong, Serre-Yu, Maryaline Coffre, Deepshika Ramanan, et al.. (2018). B Cell Defects Observed in Nod2 Knockout Mice Are a Consequence of a Dock2 Mutation Frequently Found in Inbred Strains. The Journal of Immunology. 201(5). 1442–1451. 11 indexed citations
9.
Wong, Serre-Yu, Deepshika Ramanan, & Ken Cadwell. (2018). 348 - Host-Microbe and Intra-Microbiome Interactions Leading to Small Intestinal Inflammation in a Genetically-Susceptible Host. Gastroenterology. 154(6). S–1357. 1 indexed citations
10.
Ramanan, Deepshika & Ken Cadwell. (2016). Intrinsic Defense Mechanisms of the Intestinal Epithelium. Cell Host & Microbe. 19(4). 434–441. 107 indexed citations
11.
Ramanan, Deepshika, Rowann Bowcutt, Soo Ching Lee, et al.. (2016). Helminth infection promotes colonization resistance via type 2 immunity. Science. 352(6285). 608–612. 300 indexed citations breakdown →
12.
Ramanan, Deepshika, Mei San Tang, Rowann Bowcutt, P’ng Loke, & Ken Cadwell. (2014). Bacterial Sensor Nod2 Prevents Inflammation of the Small Intestine by Restricting the Expansion of the Commensal Bacteroides vulgatus. Immunity. 41(2). 311–324. 214 indexed citations
13.
Marchiando, Amanda M., Deepshika Ramanan, Yi� Ding, et al.. (2013). A Deficiency in the Autophagy Gene Atg16L1 Enhances Resistance to Enteric Bacterial Infection. Cell Host & Microbe. 14(2). 216–224. 87 indexed citations
14.
Zhang, Zhen, Yao Wu, Zhao Wang, et al.. (2011). Release mode of large and small dense-core vesicles specified by different synaptotagmin isoforms in PC12 cells. Molecular Biology of the Cell. 22(13). 2324–2336. 69 indexed citations

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.

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