Jin Jen
Impact in
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- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- CAR-T cell therapy research
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- Immunotherapy and Immune Responses
- Immune Cell Function and Interaction
Papers in
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- Kruppel-like factors research 1
- Cancer-related gene regulation 1
- Wnt/β-catenin signaling in development and cancer 1
- Renal and related cancers 1
- Oncology 2
- Cancer Immunotherapy and Biomarkers 2
- Colorectal Cancer Treatments and Studies 1
- Co-authors
- Tatiana Dracheva (1 shared paper)Todd Waldman (1 shared paper)Jung‐Sik Kim (1 shared paper)Tagvor G. Nishanian (1 shared paper)Baljit Singh (1 shared paper)S. Keith Anderson (1 shared paper)Ann E. McCullough (1 shared paper)E. Aubrey Thompson (1 shared paper)
- Journals
- Journal of Clinical Oncology (1 paper)JCI Insight (1 paper)Cancer Research (1 paper)Molecular Reproduction and Development (1 paper)PubMed (1 paper)
- Partner nations
- United StatesSwitzerlandGermany
In The Last Decade
Jin Jen
5 papers receiving 394 citations
Peers
Comparison fields: 5 of 62
- Oncology 227
- Immunology 126
- Molecular Biology 171
- Cancer Research 30
- Radiology, Nuclear Medicine and Imaging 45
Countries citing papers authored by Jin Jen
This map shows the geographic impact of Jin Jen'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 Jin Jen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Jen more than expected).
Fields of papers citing papers by Jin Jen
This network shows the impact of papers produced by Jin Jen. 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 Jin Jen. The network helps show where Jin Jen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin Jen, 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 | 2015 | 144 | |
| 2 | Oncogenic beta-catenin is required for bone morphogenetic protein 4 expression in human cancer cells. | 2002 | 143 |
| 3 | 2018 | 96 | |
| 4 | 1990 | 18 | |
| 5 | 2013 | 1 |
About Jin Jen
Jin Jen is a scholar working on Molecular Biology, Oncology, Public Health, Environmental and Occupational Health, Immunology and Reproductive Medicine, having authored 5 papers that have together received 402 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Reproductive Biology and Fertility (1 paper), Colorectal Cancer Treatments and Studies (1 paper), Kruppel-like factors research (1 paper), Cancer-related gene regulation (1 paper), Wnt/β-catenin signaling in development and cancer (1 paper), Sperm and Testicular Function (1 paper) and Renal and related cancers (1 paper). The work is most often cited by research in Oncology (227 citations), Immunology (126 citations), Molecular Biology (171 citations), Cancer Research (30 citations) and Radiology, Nuclear Medicine and Imaging (45 citations). Jin Jen has collaborated with scholars based in United States, Switzerland and Germany. Frequent co-authors include Tatiana Dracheva, Todd Waldman, Jung‐Sik Kim, Tagvor G. Nishanian, Baljit Singh, S. Keith Anderson, Ann E. McCullough, E. Aubrey Thompson, Kathleen Tenner and Beiyun Chen. Their work appears in journals such as Journal of Clinical Oncology, JCI Insight, Cancer Research, Molecular Reproduction and Development and PubMed.
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.