Amit Roy
Impact in
- Oncology top 2%
- Cancer Immunotherapy and Biomarkers
- CAR-T cell therapy research
- Statistics and Probability top 2%
- Statistical Methods in Clinical Trials
Papers in
- Oncology 41
- Cancer Immunotherapy and Biomarkers 35
- CAR-T cell therapy research 18
- Colorectal Cancer Treatments and Studies 9
- Immunology 19
- Biosimilars and Bioanalytical Methods 13
- Co-authors
- Feng Yan (13 shared papers)Gaurav Bajaj (6 shared papers)Manish Gupta (7 shared papers)Panagiotis Georgopoulos (4 shared papers)Akintunde Bello (24 shared papers)Sachin Agrawal (5 shared papers)Paul J. Lioy (6 shared papers)Brian Lestini (2 shared papers)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (12 papers)The Journal of Clinical Pharmacology (10 papers)Journal of Clinical Oncology (7 papers)Clinical Pharmacology & Therapeutics (6 papers)Clinical Cancer Research (4 papers)
- Partner nations
- United StatesGermanySweden
In The Last Decade
Amit Roy
111 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 156
- Oncology 1.0k
- Statistics and Probability 237
- Immunology 477
- Hematology 215
- Health, Toxicology and Mutagenesis 268
Countries citing papers authored by Amit Roy
This map shows the geographic impact of Amit Roy'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 Amit Roy with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Amit Roy more than expected).
Fields of papers citing papers by Amit Roy
This network shows the impact of papers produced by Amit Roy. 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 Amit Roy. The network helps show where Amit Roy may publish in the future.
Co-authors
The 25 scholars most cited alongside Amit Roy, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 117 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 215 | |
| 2 | 2001 | 166 | |
| 3 | 2016 | 164 | |
| 4 | 2013 | 149 | |
| 5 | 2017 | 148 | |
| 6 | 2020 | 137 | |
| 7 | 2007 | 137 | |
| 8 | 2001 | 118 | |
| 9 | 2000 | 93 | |
| 10 | 2014 | 87 | |
| 11 | 2017 | 86 | |
| 12 | 1999 | 78 | |
| 13 | 2013 | 69 | |
| 14 | 2016 | 61 | |
| 15 | 2018 | 57 | |
| 16 | 2003 | 48 | |
| 17 | 2019 | 47 | |
| 18 | 1996 | 46 | |
| 19 | 2008 | 40 | |
| 20 | 2008 | 37 |
About Amit Roy
Amit Roy is a scholar working on Oncology, Immunology, Radiology, Nuclear Medicine and Imaging, Hematology and Molecular Biology, having authored 117 papers that have together received 3.0k indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (35 papers), CAR-T cell therapy research (18 papers), Biosimilars and Bioanalytical Methods (13 papers), Chronic Lymphocytic Leukemia Research (12 papers), Monoclonal and Polyclonal Antibodies Research (10 papers), Colorectal Cancer Treatments and Studies (9 papers), Chronic Myeloid Leukemia Treatments (7 papers) and Statistical Methods in Clinical Trials (7 papers). The work is most often cited by research in Oncology (1.0k citations), Statistics and Probability (237 citations), Immunology (477 citations), Hematology (215 citations) and Health, Toxicology and Mutagenesis (268 citations). Amit Roy has collaborated with scholars based in United States, Germany and Sweden. Frequent co-authors include Feng Yan, Gaurav Bajaj, Manish Gupta, Panagiotis Georgopoulos, Akintunde Bello, Sachin Agrawal, Paul J. Lioy, Brian Lestini, Eric Masson and Shruti Agrawal. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, The Journal of Clinical Pharmacology, Journal of Clinical Oncology, Clinical Pharmacology & Therapeutics and Clinical Cancer Research.
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.