Robert W. Chen
Impact in
-
- Lymphoma Diagnosis and Treatment
- Oncology top 5%
- CAR-T cell therapy research
- Viral-associated cancers and disorders
Papers in
-
- Lymphoma Diagnosis and Treatment 43
- Oncology 30
- CAR-T cell therapy research 13
- Viral-associated cancers and disorders 6
- HER2/EGFR in Cancer Research 5
- Co-authors
- Michelle A. Fanale (10 shared papers)L. A. Shepp (9 shared papers)Andres Forero‐Torres (11 shared papers)Carol M. Amato (1 shared paper)William A. Robinson (1 shared paper)Han Myint (1 shared paper)Diane K. Birks (1 shared paper)Lynne Bemis (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)Blood Advances (2 papers)
- Partner nations
- United StatesUnited KingdomFrance
In The Last Decade
Robert W. Chen
74 papers receiving 996 citations
Peers
Comparison fields: 5 of 83
- Pathology and Forensic Medicine 521
- Oncology 497
- Genetics 188
- Dermatology 99
- Immunology 225
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 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 154 | |
| 2 | 2014 | 125 | |
| 3 | 2016 | 56 | |
| 4 | 2018 | 49 | |
| 5 | 2016 | 46 | |
| 6 | 2020 | 36 | |
| 7 | 1997 | 34 | |
| 8 | 2016 | 30 | |
| 9 | 1985 | 29 | |
| 10 | 2019 | 27 | |
| 11 | 2018 | 27 | |
| 12 | 2012 | 25 | |
| 13 | 2019 | 19 | |
| 14 | 2018 | 17 | |
| 15 | 2011 | 17 | |
| 16 | 2019 | 15 | |
| 17 | 2011 | 14 | |
| 18 | 2016 | 14 | |
| 19 | 2021 | 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 76 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lymphoma Diagnosis and Treatment (43 papers), Chronic Lymphocytic Leukemia Research (22 papers), CAR-T cell therapy research (13 papers), Monoclonal and Polyclonal Antibodies Research (11 papers), Viral-associated cancers and disorders (6 papers), Chronic Myeloid Leukemia Treatments (6 papers), Optimization and Search Problems (5 papers) and HER2/EGFR in Cancer Research (5 papers). The work is most often cited by research in Pathology and Forensic Medicine (521 citations), Oncology (497 citations), Genetics (188 citations), Dermatology (99 citations) and Immunology (225 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, Andres Forero‐Torres, Carol M. Amato, William A. Robinson, Han Myint, Diane K. Birks, Lynne Bemis, S. Gail Eckhardt and Nancy L. Bartlett. Their work appears in journals such as Blood, Journal of Clinical Oncology, Journal of Applied Probability, Advances in Applied Probability and Blood Advances.
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.