Jin Chen
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Axon Guidance and Neuronal Signaling
- Cancer Research top 0.5%
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Axon Guidance and Neuronal Signaling 50
-
- Angiogenesis and VEGF in Cancer 39
- PI3K/AKT/mTOR signaling in cancer 10
- Co-authors
- Dana M. Brantley‐Sieders (37 shared papers)Dana M. Brantley (6 shared papers)Yoonha Hwang (18 shared papers)Nikki Cheng (6 shared papers)Rebecca S. Cook (8 shared papers)Laura C. Kim (8 shared papers)Guanglei Zhuang (9 shared papers)H. Earl Ruley (6 shared papers)
- Journals
- Cancer Research (12 papers)PLoS ONE (10 papers)Oncogene (8 papers)Journal of Clinical Investigation (7 papers)Proceedings of the National Academy of Sciences (7 papers)
- Partner nations
- ChinaUnited StatesSwitzerland
In The Last Decade
Jin Chen
311 papers receiving 14.0k citations
Jin Chen's Hit Papers
Peers
Comparison fields: 5 of 169
- Cellular and Molecular Neuroscience 3.2k
- Cancer Research 1.6k
- Molecular Biology 7.4k
- Cell Biology 1.8k
- Oncology 2.2k
Countries citing papers authored by Jin Chen
This map shows the geographic impact of Jin 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 Jin Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jin Chen more than expected).
Fields of papers citing papers by Jin Chen
This network shows the impact of papers produced by Jin 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 Jin Chen. The network helps show where Jin Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Jin 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 326 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A protocol for rapid generation of recombinant adenoviruses using the AdEasy system Hit paper breakdown → | 2007 | 657 |
| 2 | 2010 | 474 | |
| 3 | 2002 | 436 | |
| 4 | 2003 | 434 | |
| 5 | 2002 | 389 | |
| 6 | 2006 | 375 | |
| 7 | 2016 | 342 | |
| 8 | 2000 | 299 | |
| 9 | 2020 | 282 | |
| 10 | 2002 | 279 | |
| 11 | 2002 | 275 | |
| 12 | 2012 | 254 | |
| 13 | 2008 | 233 | |
| 14 | A polymorphism of the methionine synthase gene: association with plasma folate, vitamin B12, homocyst(e)ine, and colorectal cancer risk. | 1999 | 217 |
| 15 | 2009 | 177 | |
| 16 | 2004 | 172 | |
| 17 | 2005 | 155 | |
| 18 | 1998 | 151 | |
| 19 | 2012 | 150 | |
| 20 | 1996 | 147 |
About Jin Chen
Jin Chen is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Cell Biology, Immunology and Oncology, having authored 326 papers that have together received 14.3k indexed citations. Recurring topics across this work include Axon Guidance and Neuronal Signaling (50 papers), Angiogenesis and VEGF in Cancer (39 papers), Hippo pathway signaling and YAP/TAZ (22 papers), Immunotherapy and Immune Responses (16 papers), Immune Cell Function and Interaction (14 papers), HER2/EGFR in Cancer Research (13 papers), Cancer, Hypoxia, and Metabolism (10 papers) and PI3K/AKT/mTOR signaling in cancer (10 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (3.2k citations), Cancer Research (1.6k citations), Molecular Biology (7.4k citations), Cell Biology (1.8k citations) and Oncology (2.2k citations). Jin Chen has collaborated with scholars based in China, United States and Switzerland. Frequent co-authors include Dana M. Brantley‐Sieders, Dana M. Brantley, Yoonha Hwang, Nikki Cheng, Rebecca S. Cook, Laura C. Kim, Guanglei Zhuang, H. Earl Ruley, Wei Bin Fang and Donna J. Hicks. Their work appears in journals such as Cancer Research, PLoS ONE, Oncogene, Journal of Clinical Investigation and Proceedings of the National Academy of Sciences.
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.