Arjun Ravishankar
Impact in
- Infectious Diseases top 10%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
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- Immune responses and vaccinations
- Immune cells in cancer
Papers in
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- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
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- COVID-19 Impact on Reproduction 2
- Co-authors
- Rajat Thawani (2 shared papers)Prerna Batra (1 shared paper)Sanjay Gupta (1 shared paper)Peipei Guo (1 shared paper)Ying Liu (1 shared paper)Tomer Itkin (1 shared paper)Jenny Xiang (1 shared paper)José Gabriel Barcia Durán (1 shared paper)
- Journals
- Nature Immunology (1 paper)Cell (1 paper)Pathogens and Global Health (1 paper)Journal for ImmunoTherapy of Cancer (1 paper)American Journal Of Pathology (1 paper)
- Partner nations
- United StatesChinaIndia
In The Last Decade
Arjun Ravishankar
10 papers receiving 559 citations
Arjun Ravishankar's Hit Papers
Peers
Comparison fields: 5 of 73
- Infectious Diseases 157
- Immunology 147
- Neurology 79
- Critical Care and Intensive Care Medicine 16
- Molecular Biology 190
Countries citing papers authored by Arjun Ravishankar
This map shows the geographic impact of Arjun Ravishankar'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 Arjun Ravishankar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arjun Ravishankar more than expected).
Fields of papers citing papers by Arjun Ravishankar
This network shows the impact of papers produced by Arjun Ravishankar. 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 Arjun Ravishankar. The network helps show where Arjun Ravishankar may publish in the future.
Co-authors
The 25 scholars most cited alongside Arjun Ravishankar, 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 | Epigenetic memory of coronavirus infection in innate immune cells and their progenitors Hit paper breakdown → | 2023 | 187 |
| 2 | 2020 | 125 | |
| 3 | 2020 | 118 | |
| 4 | 2023 | 52 | |
| 5 | 2021 | 34 | |
| 6 | 2022 | 19 | |
| 7 | 2013 | 13 | |
| 8 | 2014 | 11 | |
| 9 | 2024 | 7 | |
| 10 | 2023 | 1 |
About Arjun Ravishankar
Arjun Ravishankar is a scholar working on Infectious Diseases, Obstetrics and Gynecology, Immunology, Hematology and Rheumatology, having authored 10 papers that have together received 567 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Genomics and Chromatin Dynamics (2 papers), COVID-19 Impact on Reproduction (2 papers), Epigenetics and DNA Methylation (2 papers), RNA modifications and cancer (1 paper), Lipid metabolism and disorders (1 paper) and Pediatric Pain Management Techniques (1 paper). The work is most often cited by research in Infectious Diseases (157 citations), Immunology (147 citations), Neurology (79 citations), Critical Care and Intensive Care Medicine (16 citations) and Molecular Biology (190 citations). Arjun Ravishankar has collaborated with scholars based in United States, China and India. Frequent co-authors include Rajat Thawani, Prerna Batra, Sanjay Gupta, Peipei Guo, Ying Liu, Tomer Itkin, Jenny Xiang, José Gabriel Barcia Durán, Fuqiang Geng and Naveen Sharma. Their work appears in journals such as Nature Immunology, Cell, Pathogens and Global Health, Journal for ImmunoTherapy of Cancer and American Journal Of Pathology.
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.