Y. Eugene Chen
Impact in
- Aging top 5%
- Cancer Research top 2%
- MicroRNA in disease regulation
Papers in
-
- CRISPR and Genetic Engineering 20
- Pluripotent Stem Cells Research 11
- Kruppel-like factors research 10
- Peroxisome Proliferator-Activated Receptors 8
- Surgery 21
- Co-authors
- Jifeng Zhang (87 shared papers)Jie Xu (27 shared papers)Tianqing Zhu (18 shared papers)Lin Chang (25 shared papers)Haocheng Lu (26 shared papers)Minerva T. Garcia-Barrio (25 shared papers)Dongshan Yang (21 shared papers)Yanbo Fan (21 shared papers)
- Journals
- Arteriosclerosis Thrombosis and Vascular Biology (11 papers)JCI Insight (6 papers)Journal of Biological Chemistry (6 papers)Scientific Reports (4 papers)Journal of Visualized Experiments (4 papers)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Y. Eugene Chen
137 papers receiving 5.3k citations
Peers
Comparison fields: 5 of 129
- Aging 85
- Cancer Research 614
- Molecular Biology 2.5k
- Immunology 635
- Biochemistry 216
Countries citing papers authored by Y. Eugene Chen
This map shows the geographic impact of Y. Eugene 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 Y. Eugene Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Y. Eugene Chen more than expected).
Fields of papers citing papers by Y. Eugene Chen
This network shows the impact of papers produced by Y. Eugene 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 Y. Eugene Chen. The network helps show where Y. Eugene Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Y. Eugene 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 143 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 338 | |
| 2 | 2011 | 306 | |
| 3 | 2016 | 299 | |
| 4 | 2014 | 273 | |
| 5 | 2016 | 199 | |
| 6 | 2020 | 166 | |
| 7 | 2020 | 156 | |
| 8 | 2008 | 147 | |
| 9 | 2013 | 135 | |
| 10 | 2011 | 129 | |
| 11 | 2017 | 115 | |
| 12 | 2020 | 114 | |
| 13 | 2020 | 109 | |
| 14 | 2017 | 97 | |
| 15 | 2018 | 95 | |
| 16 | 2020 | 72 | |
| 17 | 2020 | 70 | |
| 18 | 2009 | 70 | |
| 19 | 2015 | 67 | |
| 20 | 2009 | 63 |
About Y. Eugene Chen
Y. Eugene Chen is a scholar working on Molecular Biology, Surgery, Pulmonary and Respiratory Medicine, Genetics and Immunology, having authored 143 papers that have together received 5.4k indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (20 papers), Aortic aneurysm repair treatments (12 papers), Pluripotent Stem Cells Research (11 papers), Kruppel-like factors research (10 papers), Atherosclerosis and Cardiovascular Diseases (10 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Aortic Disease and Treatment Approaches (8 papers) and Adipose Tissue and Metabolism (7 papers). The work is most often cited by research in Aging (85 citations), Cancer Research (614 citations), Molecular Biology (2.5k citations), Immunology (635 citations) and Biochemistry (216 citations). Y. Eugene Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Jifeng Zhang, Jie Xu, Tianqing Zhu, Lin Chang, Haocheng Lu, Minerva T. Garcia-Barrio, Dongshan Yang, Yanbo Fan, Jun Song and Jianglin Fan. Their work appears in journals such as Arteriosclerosis Thrombosis and Vascular Biology, JCI Insight, Journal of Biological Chemistry, Scientific Reports and Journal of Visualized Experiments.
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.