Robert W. Chen
Impact in
-
- Lymphoma Diagnosis and Treatment
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research
Papers in
-
- Lymphoma Diagnosis and Treatment 44
- Oncology 29
- CAR-T cell therapy research 12
- Viral-associated cancers and disorders 6
- Co-authors
- Michelle A. Fanale (10 shared papers)L. A. Shepp (9 shared papers)Nancy L. Bartlett (10 shared papers)William A. Robinson (1 shared paper)Lynne Bemis (1 shared paper)Carol M. Amato (1 shared paper)Diane K. Birks (1 shared paper)Han Myint (1 shared paper)
- Journals
- Blood (33 papers)Journal of Clinical Oncology (13 papers)Journal of Applied Probability (8 papers)Advances in Applied Probability (3 papers)SIAM Journal on Discrete Mathematics (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Robert W. Chen
75 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 81
- Pathology and Forensic Medicine 510
- Genetics 183
- Oncology 458
- Immunology 212
- Dermatology 82
Countries citing papers authored by Robert W. Chen
This map shows the geographic impact of Robert W. Chen'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 Robert W. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert W. Chen more than expected).
Fields of papers citing papers by Robert W. Chen
This network shows the impact of papers produced by Robert W. Chen. 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 Robert W. Chen. The network helps show where Robert W. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Robert W. Chen, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 159 | |
| 2 | 2014 | 128 | |
| 3 | 2016 | 59 | |
| 4 | 2018 | 49 | |
| 5 | 1997 | 48 | |
| 6 | 2016 | 47 | |
| 7 | 2020 | 36 | |
| 8 | 2016 | 33 | |
| 9 | 1985 | 33 | |
| 10 | 2019 | 28 | |
| 11 | 2018 | 28 | |
| 12 | 2012 | 26 | |
| 13 | 2019 | 19 | |
| 14 | 2011 | 17 | |
| 15 | 2018 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2016 | 15 | |
| 18 | 2021 | 14 | |
| 19 | 2011 | 14 | |
| 20 | 2018 | 13 |
About Robert W. Chen
Robert W. Chen is a scholar working on Pathology and Forensic Medicine, Oncology, Genetics, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 77 papers that have together received 1.1k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (44 papers), Chronic Lymphocytic Leukemia Research (22 papers), CAR-T cell therapy research (12 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Chronic Myeloid Leukemia Treatments (6 papers), Viral-associated cancers and disorders (6 papers), Optimization and Search Problems (5 papers) and Economic theories and models (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (510 citations), Genetics (183 citations), Oncology (458 citations), Immunology (212 citations) and Dermatology (82 citations). Robert W. Chen has collaborated with scholars based in United States, United Kingdom and France. Frequent co-authors include Michelle A. Fanale, L. A. Shepp, Nancy L. Bartlett, William A. Robinson, Lynne Bemis, Carol M. Amato, Diane K. Birks, Han Myint, Andres Forero‐Torres and S. Gail Eckhardt. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Applied Probability, Advances in Applied Probability and SIAM Journal on Discrete Mathematics.
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.