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
- RNA Research and Splicing 2
-
- interferon and immune responses 6
- Immune Response and Inflammation 3
- Co-authors
- Smita S. Patel (6 shared papers)Joseph Marcotrigiano (4 shared papers)Fuguo Jiang (2 shared papers)Abdul Ghafoor Khan (2 shared papers)Matthew T. Miller (2 shared papers)Anand Ramanathan (2 shared papers)Chen Wang (1 shared paper)Yong Xiong (8 shared papers)
- Journals
- Nucleic Acids Research (4 papers)Nature Communications (2 papers)Journal of Investigative Dermatology (2 papers)Molecular Cell (2 papers)The Journal of Cell Biology (1 paper)
- Partner nations
- United StatesFranceGermany
In The Last Decade
Swapnil C. Devarkar
16 papers receiving 586 citations
Peers
Comparison fields: 5 of 55
- Immunology 256
- Infectious Diseases 156
- Molecular Biology 415
- Structural Biology 5
- Cancer Research 52
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 | 257 | |
| 2 | 2020 | 134 | |
| 3 | 2018 | 53 | |
| 4 | 2018 | 30 | |
| 5 | 2015 | 30 | |
| 6 | 2022 | 17 | |
| 7 | 2023 | 15 | |
| 8 | 2022 | 13 | |
| 9 | 2023 | 11 | |
| 10 | 2019 | 10 | |
| 11 | 2021 | 9 | |
| 12 | 2023 | 7 | |
| 13 | 2024 | 2 | |
| 14 | 2025 | 2 | |
| 15 | 2025 | 1 | |
| 16 | 2024 | 1 | |
| 17 | 2025 | 0 | |
| 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 592 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), Cytokine Signaling Pathways and Interactions (2 papers), Acne and Rosacea Treatments and Effects (2 papers), RNA Research and Splicing (2 papers) and Advanced Electron Microscopy Techniques and Applications (2 papers). The work is most often cited by research in Immunology (256 citations), Infectious Diseases (156 citations), Molecular Biology (415 citations), Structural Biology (5 citations) and Cancer Research (52 citations). Swapnil C. Devarkar has collaborated with scholars based in United States, France and Germany. Frequent co-authors include Smita S. Patel, Joseph Marcotrigiano, Fuguo Jiang, Abdul Ghafoor Khan, Matthew T. Miller, Anand Ramanathan, Chen Wang, Yong Xiong, Ivan B. Lomakin and Yingxia Hu. Their work appears in journals such as Nucleic Acids Research, Nature Communications, Journal of Investigative Dermatology, 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.