Ben D.‐M. Chen
Impact in
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- Immune Response and Inflammation
- Immune Cell Function and Interaction
- Immune cells in cancer
- Immunotherapy and Immune Responses
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- NF-κB Signaling Pathways
Papers in
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- Cell death mechanisms and regulation 5
- Ubiquitin and proteasome pathways 3
- Retinoids in leukemia and cellular processes 2
- RNA Interference and Gene Delivery 2
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- Immune Response and Inflammation 6
- Immune cells in cancer 5
- Immune Cell Function and Interaction 4
- Co-authors
- Hong Lin (5 shared papers)Catheryne Chen (4 shared papers)Marshall D. Sklar (1 shared paper)W. S. G. Walker (1 shared paper)Allan Tereba (1 shared paper)Xuemin Zhang (1 shared paper)Hsiu-san Lin (2 shared papers)Charles Kuhn (1 shared paper)
- Journals
- Biochemical Journal (4 papers)Journal of Cellular Physiology (4 papers)Biochemical and Biophysical Research Communications (2 papers)Leukemia Research (2 papers)Journal of Cell Science (1 paper)
- Partner nations
- United StatesChinaBelarus
In The Last Decade
Ben D.‐M. Chen
18 papers receiving 395 citations
Peers
Comparison fields: 5 of 71
- Immunology 182
- Cancer Research 39
- Molecular Biology 184
- Hematology 28
- Physiology 11
Countries citing papers authored by Ben D.‐M. Chen
This map shows the geographic impact of Ben D.‐M. 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 Ben D.‐M. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben D.‐M. Chen more than expected).
Fields of papers citing papers by Ben D.‐M. Chen
This network shows the impact of papers produced by Ben D.‐M. 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 Ben D.‐M. Chen. The network helps show where Ben D.‐M. Chen may publish in the future.
Co-authors
The 24 scholars most cited alongside Ben D.‐M. 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 | 1985 | 79 | |
| 2 | 1999 | 65 | |
| 3 | 2001 | 44 | |
| 4 | 2001 | 34 | |
| 5 | 1984 | 24 | |
| 6 | 1994 | 23 | |
| 7 | 1987 | 22 | |
| 8 | 1998 | 19 | |
| 9 | 1998 | 18 | |
| 10 | 1982 | 15 | |
| 11 | 1985 | 12 | |
| 12 | 2001 | 10 | |
| 13 | 1999 | 9 | |
| 14 | 1987 | 8 | |
| 15 | 1993 | 6 | |
| 16 | 1987 | 5 | |
| 17 | 1991 | 4 | |
| 18 | 2000 | 3 |
About Ben D.‐M. Chen
Ben D.‐M. Chen is a scholar working on Molecular Biology, Immunology, Oncology, Neurology and Pulmonary and Respiratory Medicine, having authored 18 papers that have together received 400 indexed citations. Recurring topics across this work include Immune Response and Inflammation (6 papers), Cell death mechanisms and regulation (5 papers), Immune cells in cancer (5 papers), Immune Cell Function and Interaction (4 papers), Ubiquitin and proteasome pathways (3 papers), Cancer Treatment and Pharmacology (2 papers), Retinoids in leukemia and cellular processes (2 papers) and RNA Interference and Gene Delivery (2 papers). The work is most often cited by research in Immunology (182 citations), Cancer Research (39 citations), Molecular Biology (184 citations), Hematology (28 citations) and Physiology (11 citations). Ben D.‐M. Chen has collaborated with scholars based in United States, China and Belarus. Frequent co-authors include Hong Lin, Catheryne Chen, Marshall D. Sklar, W. S. G. Walker, Allan Tereba, Xuemin Zhang, Hsiu-san Lin, Charles Kuhn, Fred Valeriote and Shin Hsu. Their work appears in journals such as Biochemical Journal, Journal of Cellular Physiology, Biochemical and Biophysical Research Communications, Leukemia Research and Journal of Cell Science.
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.