Swapnil C. Devarkar
Impact in
- Immunology top 10%
- interferon and immune responses
- Immune Response and Inflammation
- Infectious Diseases top 10%
- SARS-CoV-2 and COVID-19 Research
Papers in
-
- RNA and protein synthesis mechanisms 3
- RNA modifications and cancer 3
-
- interferon and immune responses 6
- Immune Response and Inflammation 3
- Co-authors
- Smita S. Patel (6 shared papers)Joseph Marcotrigiano (4 shared papers)Anand Ramanathan (2 shared papers)Abdul Ghafoor Khan (2 shared papers)Matthew T. Miller (2 shared papers)Fuguo Jiang (2 shared papers)Chen Wang (1 shared paper)Yong Xiong (8 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Journal of Investigative Dermatology (2 papers)Nature Communications (2 papers)Molecular Cell (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Swapnil C. Devarkar
17 papers receiving 620 citations
Peers
Comparison fields: 5 of 54
- Immunology 258
- Infectious Diseases 157
- Molecular Biology 426
- Cancer Research 49
- Structural Biology 5
Countries citing papers authored by Swapnil C. Devarkar
This map shows the geographic impact of Swapnil C. Devarkar'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 Swapnil C. Devarkar with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Swapnil C. Devarkar more than expected).
Fields of papers citing papers by Swapnil C. Devarkar
This network shows the impact of papers produced by Swapnil C. Devarkar. 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 Swapnil C. Devarkar. The network helps show where Swapnil C. Devarkar may publish in the future.
Co-authors
The 25 scholars most cited alongside Swapnil C. Devarkar, 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 | 2016 | 275 | |
| 2 | 2020 | 138 | |
| 3 | 2018 | 53 | |
| 4 | 2018 | 32 | |
| 5 | 2015 | 30 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 16 | |
| 8 | 2022 | 14 | |
| 9 | 2023 | 13 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 9 | |
| 13 | 2025 | 3 | |
| 14 | 2025 | 3 | |
| 15 | 2024 | 2 | |
| 16 | 2025 | 2 | |
| 17 | 2024 | 1 | |
| 18 | 2025 | 0 |
About Swapnil C. Devarkar
Swapnil C. Devarkar is a scholar working on Molecular Biology, Immunology, Infectious Diseases, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 18 papers that have together received 627 indexed citations. Recurring topics across this work include interferon and immune responses (6 papers), RNA and protein synthesis mechanisms (3 papers), Immune Response and Inflammation (3 papers), RNA modifications and cancer (3 papers), Advanced Electron Microscopy Techniques and Applications (2 papers), Viral gastroenteritis research and epidemiology (2 papers), Herpesvirus Infections and Treatments (2 papers) and SARS-CoV-2 and COVID-19 Research (2 papers). The work is most often cited by research in Immunology (258 citations), Infectious Diseases (157 citations), Molecular Biology (426 citations), Cancer Research (49 citations) and Structural Biology (5 citations). Swapnil C. Devarkar has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Smita S. Patel, Joseph Marcotrigiano, Anand Ramanathan, Abdul Ghafoor Khan, Matthew T. Miller, Fuguo Jiang, Chen Wang, Yong Xiong, Ivan B. Lomakin and Yingxia Hu. Their work appears in journals such as Nucleic Acids Research, Journal of Investigative Dermatology, Nature Communications, Molecular Cell and The Journal of Cell Biology.
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.