Divya Ramnath
Impact in
- Immunology top 5%
- Neutrophil, Myeloperoxidase and Oxidative Mechanisms
- Immune Response and Inflammation
- Immune cells in cancer
- interferon and immune responses
- Hepatology top 10%
- Liver physiology and pathology
Papers in
- Immunology 10
- Immune Response and Inflammation 6
- Immune cells in cancer 4
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- Histone Deacetylase Inhibitors Research 3
- Inflammasome and immune disorders 3
- Epigenetics and DNA Methylation 2
- Co-authors
- Matthew J. Sweet (14 shared papers)Kate Schroder (5 shared papers)Jessica B. von Pein (2 shared papers)Dave Boucher (1 shared paper)Kaiwen Chen (1 shared paper)Gabriel Sollberger (1 shared paper)Nicholas D. Condon (1 shared paper)Mercedes Monteleone (1 shared paper)
- Journals
- Immunology and Cell Biology (2 papers)FEBS Journal (1 paper)Developmental Cell (1 paper)Science Immunology (1 paper)Journal of Cell Science (1 paper)
- Partner nations
- AustraliaSwitzerlandUnited States
In The Last Decade
Divya Ramnath
14 papers receiving 1.0k citations
Divya Ramnath's Hit Papers
Peers
Comparison fields: 5 of 84
- Immunology 440
- Hepatology 71
- Molecular Biology 527
- Endocrine and Autonomic Systems 45
- Nephrology 46
Countries citing papers authored by Divya Ramnath
This map shows the geographic impact of Divya Ramnath'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 Divya Ramnath with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Divya Ramnath more than expected).
Fields of papers citing papers by Divya Ramnath
This network shows the impact of papers produced by Divya Ramnath. 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 Divya Ramnath. The network helps show where Divya Ramnath may publish in the future.
Co-authors
The 25 scholars most cited alongside Divya Ramnath, 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 | Noncanonical inflammasome signaling elicits gasdermin D–dependent neutrophil extracellular traps Hit paper breakdown → | 2018 | 497 |
| 2 | 2019 | 125 | |
| 3 | 2022 | 71 | |
| 4 | 2020 | 59 | |
| 5 | 2024 | 55 | |
| 6 | 2015 | 46 | |
| 7 | 2022 | 41 | |
| 8 | 2016 | 38 | |
| 9 | 2018 | 35 | |
| 10 | 2014 | 35 | |
| 11 | 2019 | 28 | |
| 12 | 2023 | 14 | |
| 13 | 2024 | 1 | |
| 14 | 2025 | 1 |
About Divya Ramnath
Divya Ramnath is a scholar working on Immunology, Molecular Biology, Cancer Research, Epidemiology and Cell Biology, having authored 14 papers that have together received 1.0k indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Immune cells in cancer (4 papers), NF-κB Signaling Pathways (3 papers), Histone Deacetylase Inhibitors Research (3 papers), Inflammasome and immune disorders (3 papers), Epigenetics and DNA Methylation (2 papers), Liver physiology and pathology (2 papers) and Circadian rhythm and melatonin (1 paper). The work is most often cited by research in Immunology (440 citations), Hepatology (71 citations), Molecular Biology (527 citations), Endocrine and Autonomic Systems (45 citations) and Nephrology (46 citations). Divya Ramnath has collaborated with scholars based in Australia, Switzerland and United States. Frequent co-authors include Matthew J. Sweet, Kate Schroder, Jessica B. von Pein, Dave Boucher, Kaiwen Chen, Gabriel Sollberger, Nicholas D. Condon, Mercedes Monteleone, Petr Brož and Elizabeth E. Powell. Their work appears in journals such as Immunology and Cell Biology, FEBS Journal, Developmental Cell, Science Immunology and Journal of Cell Science.
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.