Rahul Roychoudhuri
- Immunology top 1%
- Immune Cell Function and Interaction 30
- T-cell and B-cell Immunology 25
- Immunotherapy and Immune Responses 15
- Immune cells in cancer 5
- Oncology top 2%
- CAR-T cell therapy research 9
- Cancer Immunotherapy and Biomarkers 8
- Cancer Risks and Factors 3
- Cancer Research top 2%
- Molecular Biology top 5%
- Epigenetics and DNA Methylation 3
- Biological Psychiatry top 10%
- Co-authors
- Nicholas P. RestifoDouglas C. PalmerChristopher A. KlebanoffMadhusudhanan SukumarAmanda N. HenningZhiya YuRobert EilHenrik Møller
- Cited by
- ImmunologyOncologyCancer Research
- Journals
- The Journal of Experimental Medicine (4 papers)Journal for ImmunoTherapy of Cancer (4 papers)Nature reviews. Immunology (2 papers)
- Partner nations
- United KingdomUnited StatesJapan
In The Last Decade
Rahul Roychoudhuri
45 papers receiving 4.1k citations
Hit Papers
Peers
Comparison fields: 5 of 129
- Immunology 2.3k
- Oncology 1.6k
- Cancer Research 699
- Molecular Biology 1.4k
- Biological Psychiatry 36
Countries citing papers authored by Rahul Roychoudhuri
This map shows the geographic impact of Rahul Roychoudhuri'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 Rahul Roychoudhuri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rahul Roychoudhuri more than expected).
Fields of papers citing papers by Rahul Roychoudhuri
This network shows the impact of papers produced by Rahul Roychoudhuri. 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 Rahul Roychoudhuri. The network helps show where Rahul Roychoudhuri may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rahul Roychoudhuri, 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 | 3 | |
| 3 | 2024 | 3 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 8 | |
| 6 | 2022 | 16 | |
| 7 | 2020 | 46 | |
| 8 | 2018 | 104 | |
| 9 | Ionic immune suppression within the tumour microenvironment limits T cell effector functionbreakdown → | 2016 | 489 |
| 10 | 2016 | 199 | |
| 11 | 2015 | 139 | |
| 12 | 2015 | 271 | |
| 13 | 2015 | 114 | |
| 14 | 2015 | 86 | |
| 15 | 2014 | 20 | |
| 16 | 2011 | 18 | |
| 17 | 2008 | 15 | |
| 18 | 2007 | 138 | |
| 19 | 2006 | 90 | |
| 20 | 2004 | 133 |
About Rahul Roychoudhuri
Rahul Roychoudhuri is a scholar working on Immunology, Oncology and Cancer Research, having authored 46 papers that have together received 4.2k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (30 papers), T-cell and B-cell Immunology (25 papers), Immunotherapy and Immune Responses (15 papers), CAR-T cell therapy research (9 papers), Cancer Immunotherapy and Biomarkers (8 papers), Immune cells in cancer (5 papers), Cancer Risks and Factors (3 papers) and Epigenetics and DNA Methylation (3 papers). The work is most often cited by research in Immunology (2.3k citations), Oncology (1.6k citations) and Cancer Research (699 citations). Rahul Roychoudhuri has collaborated with scholars based in United Kingdom, United States and Japan. Frequent co-authors include Nicholas P. Restifo, Douglas C. Palmer, Christopher A. Klebanoff, Madhusudhanan Sukumar, Amanda N. Henning, Zhiya Yu, Robert Eil, Henrik Møller, Luca Gattinoni and Yun Ji. Their work appears in journals such as The Journal of Experimental Medicine, Journal for ImmunoTherapy of Cancer, Nature reviews. Immunology, Immunology 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.