Srividya Subramanian
- Immunology top 2%
- Immune Cell Function and Interaction 7
- T-cell and B-cell Immunology 7
- Rheumatology top 2%
- Oncology top 10%
- Cancer Cells and Metastasis 2
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- Epigenetics and DNA Methylation 2
- RNA Interference and Gene Delivery 2
- Histone Deacetylase Inhibitors Research 2
- Toxicology top 10%
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- Nanoparticle-Based Drug Delivery 2
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- Natural Antidiabetic Agents Studies 2
- Co-authors
- Edward K. WakelandXin J. ZhouKatalin TusSusan E. BatesIgor Espinoza‐DelgadoJames R. WrightRichard PiekarzAndrew Wang
- Cited by
- ImmunologyRheumatologyOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Immunity (1 paper)The Journal of Immunology (3 papers)
- Partner nations
- United StatesIndiaCroatia
In The Last Decade
Srividya Subramanian
21 papers receiving 1.6k citations
Hit Papers
Peers
Comparison fields: 5 of 97
- Immunology 1.1k
- Rheumatology 372
- Oncology 239
- Molecular Biology 440
- Toxicology 20
Countries citing papers authored by Srividya Subramanian
This map shows the geographic impact of Srividya Subramanian'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 Srividya Subramanian with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Srividya Subramanian more than expected).
Fields of papers citing papers by Srividya Subramanian
This network shows the impact of papers produced by Srividya Subramanian. 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 Srividya Subramanian. The network helps show where Srividya Subramanian may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Srividya Subramanian, 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 | 2025 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2024 | 3 | |
| 4 | 2023 | 5 | |
| 5 | 2022 | 42 | |
| 6 | 2022 | 3 | |
| 7 | 2022 | 6 | |
| 8 | 2021 | 7 | |
| 9 | 2020 | 11 | |
| 10 | 2017 | 32 | |
| 11 | 2014 | 90 | |
| 12 | 2011 | 265 | |
| 13 | 2010 | 277 | |
| 14 | 2009 | 102 | |
| 15 | 2007 | 28 | |
| 16 | A Tlr7 translocation accelerates systemic autoimmunity in murine lupusbreakdown → | 2006 | 505 |
| 17 | 2005 | 29 | |
| 18 | 2005 | 6 | |
| 19 | 2005 | 13 | |
| 20 | 2004 | 214 |
About Srividya Subramanian
Srividya Subramanian is a scholar working on Applied Microbiology and Biotechnology, Immunology and Toxicology, having authored 21 papers that have together received 1.6k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (7 papers), T-cell and B-cell Immunology (7 papers), Epigenetics and DNA Methylation (2 papers), RNA Interference and Gene Delivery (2 papers), Cancer Cells and Metastasis (2 papers), Nanoparticle-Based Drug Delivery (2 papers), Histone Deacetylase Inhibitors Research (2 papers) and Natural Antidiabetic Agents Studies (2 papers). The work is most often cited by research in Immunology (1.1k citations), Rheumatology (372 citations) and Oncology (239 citations). Srividya Subramanian has collaborated with scholars based in United States, India and Croatia. Frequent co-authors include Edward K. Wakeland, Xin J. Zhou, Katalin Tus, Susan E. Bates, Igor Espinoza‐Delgado, James R. Wright, Richard Piekarz, Andrew Wang, Quan‐Zhen Li and Jinchun Zhou. Their work appears in journals such as Proceedings of the National Academy of Sciences, Immunity and The 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.