Rohit R. Jadhav
- Immunology top 5%
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 11
- Immunotherapy and Immune Responses 5
- interferon and immune responses 3
- Cancer Research top 10%
- Cancer Genomics and Diagnostics 3
- Cancer-related molecular mechanisms research 3
- Oncology top 10%
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- Epigenetics and DNA Methylation 7
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- Cytomegalovirus and herpesvirus research 4
- Co-authors
- Jörg J. GoronzyCornelia M. WeyandBin HuChulwoo KimRafi AhmedZhongde YeJun JinChun‐Liang Chen
- Cited by
- ImmunologyCancer ResearchOncology
- Journals
- Proceedings of the National Academy of Sciences (1 paper)Journal of Clinical Investigation (1 paper)Nature Communications (3 papers)
- Partner nations
- United StatesChinaTaiwan
In The Last Decade
Rohit R. Jadhav
28 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 92
- Immunology 544
- Cancer Research 252
- Oncology 342
- Molecular Biology 439
- Neurology 49
Countries citing papers authored by Rohit R. Jadhav
This map shows the geographic impact of Rohit R. Jadhav'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 Rohit R. Jadhav with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rohit R. Jadhav more than expected).
Fields of papers citing papers by Rohit R. Jadhav
This network shows the impact of papers produced by Rohit R. Jadhav. 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 Rohit R. Jadhav. The network helps show where Rohit R. Jadhav may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rohit R. Jadhav, 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 | 2024 | 2 | |
| 3 | 2023 | 19 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 24 | |
| 6 | 2021 | 32 | |
| 7 | 2020 | 35 | |
| 8 | 2020 | 49 | |
| 9 | 2019 | 154 | |
| 10 | 2019 | 39 | |
| 11 | 2018 | 87 | |
| 12 | 2018 | 64 | |
| 13 | 2017 | 81 | |
| 14 | 2017 | 33 | |
| 15 | 2016 | 1 | |
| 16 | 2016 | 17 | |
| 17 | 2015 | 38 | |
| 18 | 2013 | 36 | |
| 19 | 2013 | 17 | |
| 20 | 2012 | 178 |
About Rohit R. Jadhav
Rohit R. Jadhav is a scholar working on Immunology, Cancer Research and Geriatrics and Gerontology, having authored 30 papers that have together received 1.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (11 papers), Epigenetics and DNA Methylation (7 papers), Immunotherapy and Immune Responses (5 papers), Cytomegalovirus and herpesvirus research (4 papers), interferon and immune responses (3 papers), Cancer Genomics and Diagnostics (3 papers) and Cancer-related molecular mechanisms research (3 papers). The work is most often cited by research in Immunology (544 citations), Cancer Research (252 citations) and Oncology (342 citations). Rohit R. Jadhav has collaborated with scholars based in United States, China and Taiwan. Frequent co-authors include Jörg J. Goronzy, Cornelia M. Weyand, Bin Hu, Chulwoo Kim, Rafi Ahmed, Zhongde Ye, Jun Jin, Chun‐Liang Chen, Claire E. Gustafson and William J. Greenleaf. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.