Robert W. Chen
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- Lymphoma Diagnosis and Treatment 43
- Oncology top 5%
- CAR-T cell therapy research 13
- Viral-associated cancers and disorders 6
- HER2/EGFR in Cancer Research 5
- Genetics top 5%
- Chronic Lymphocytic Leukemia Research 22
- Dermatology top 5%
- Immunology top 10%
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- Monoclonal and Polyclonal Antibodies Research 11
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- Chronic Myeloid Leukemia Treatments 6
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- Lung Cancer Treatments and Mutations 5
- Co-authors
- Michelle A. FanaleAndres Forero‐TorresL. A. SheppHan MyintS. Gail EckhardtDiane K. BirksLynne BemisWilliam A. Robinson
- Journals
- Blood (33 papers)Journal of Clinical Oncology (13 papers)Journal of Applied Probability (8 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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 15 | |
| 2 | 2018 | 17 | |
| 3 | 2018 | 6 | |
| 4 | 2017 | 3 | |
| 5 | 2017 | 3 | |
| 6 | 2017 | 6 | |
| 7 | 2017 | 10 | |
| 8 | 2017 | 1 | |
| 9 | 2016 | 5 | |
| 10 | 2016 | 2 | |
| 11 | Managing Risk in Hodgkin Lymphoma. | 2015 | 2 |
| 12 | 2012 | 0 | |
| 13 | 2011 | 14 | |
| 14 | 2011 | 5 | |
| 15 | 2011 | 7 | |
| 16 | 2005 | 4 | |
| 17 | 2005 | 10 | |
| 18 | 1997 | 7 | |
| 19 | 1991 | 1 | |
| 20 | 1989 | 3 |
About Robert W. Chen
Robert W. Chen is a scholar working on Pathology and Forensic Medicine, Genetics, Oncology, Mathematical Physics and Hematology, 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), HER2/EGFR in Cancer Research (5 papers) and Lung Cancer Treatments and Mutations (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, Andres Forero‐Torres, L. A. Shepp, Han Myint, S. Gail Eckhardt, Diane K. Birks, Lynne Bemis, William A. Robinson, Nancy L. Bartlett and Carol M. Amato. 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.