Benjamin P. Chen
Impact in
- Cancer Research top 5%
- Carcinogens and Genotoxicity Assessment
- Oncology top 5%
- Cancer-related Molecular Pathways
- PARP inhibition in cancer therapy
Papers in
-
- T-cell and B-cell Immunology 6
- Immune Cell Function and Interaction 5
- Immunotherapy and Immune Responses 3
- Oncology 6
- Cancer-related Molecular Pathways 3
- Co-authors
- David J. Chen (4 shared papers)Sandeep Burma (1 shared paper)Michael Murphy (1 shared paper)Akihiro Kurimasa (1 shared paper)Amit Kumar Das (2 shared papers)Chaitanya S. Nirodi (2 shared papers)Yu‐Fen Lin (2 shared papers)Michael D. Story (1 shared paper)
- Journals
- Cellular Immunology (4 papers)Molecular Cancer Research (2 papers)Human Immunology (2 papers)Journal of Biological Chemistry (1 paper)Cancer Research (1 paper)
- Partner nations
- United StatesGermanyJapan
In The Last Decade
Benjamin P. Chen
11 papers receiving 1.9k citations
Benjamin P. Chen's Hit Papers
Peers
Comparison fields: 5 of 92
- Cancer Research 365
- Oncology 631
- Molecular Biology 1.5k
- Aging 19
- Cell Biology 134
Countries citing papers authored by Benjamin P. Chen
This map shows the geographic impact of Benjamin P. 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 Benjamin P. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Benjamin P. Chen more than expected).
Fields of papers citing papers by Benjamin P. Chen
This network shows the impact of papers produced by Benjamin P. 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 Benjamin P. Chen. The network helps show where Benjamin P. Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Benjamin P. 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 | ATM Phosphorylates Histone H2AX in Response to DNA Double-strand Breaks Hit paper breakdown → | 2001 | 1556 |
| 2 | 2012 | 142 | |
| 3 | 2007 | 129 | |
| 4 | 2012 | 37 | |
| 5 | 1987 | 27 | |
| 6 | 1989 | 19 | |
| 7 | 1989 | 15 | |
| 8 | 1987 | 15 | |
| 9 | 1997 | 11 | |
| 10 | 1988 | 5 | |
| 11 | 1980 | 3 |
About Benjamin P. Chen
Benjamin P. Chen is a scholar working on Immunology, Oncology, Molecular Biology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging, having authored 11 papers that have together received 2.0k indexed citations. Recurring topics across this work include T-cell and B-cell Immunology (6 papers), Immune Cell Function and Interaction (5 papers), Immunotherapy and Immune Responses (3 papers), Cancer-related Molecular Pathways (3 papers), DNA Repair Mechanisms (2 papers), Lung Cancer Treatments and Mutations (2 papers), Monoclonal and Polyclonal Antibodies Research (2 papers) and Acute Lymphoblastic Leukemia research (1 paper). The work is most often cited by research in Cancer Research (365 citations), Oncology (631 citations), Molecular Biology (1.5k citations), Aging (19 citations) and Cell Biology (134 citations). Benjamin P. Chen has collaborated with scholars based in United States, Germany and Japan. Frequent co-authors include David J. Chen, Sandeep Burma, Michael Murphy, Akihiro Kurimasa, Amit Kumar Das, Chaitanya S. Nirodi, Yu‐Fen Lin, Michael D. Story, Mitsuo Sato and John D. Minna. Their work appears in journals such as Cellular Immunology, Molecular Cancer Research, Human Immunology, Journal of Biological Chemistry and 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.