Ye Chen
Impact in
- Soil Science top 5%
- Soil Carbon and Nitrogen Dynamics
- Cell Biology top 10%
- Aldose Reductase and Taurine
Papers in
-
- Immune Cell Function and Interaction 6
- T-cell and B-cell Immunology 3
- Co-authors
- Chester K. Williams (3 shared papers)Maurice B. Burg (3 shared papers)Joan D. Ferraris (3 shared papers)Zheng Zhang (1 shared paper)Jinsong Wang (3 shared papers)Shuli Niu (3 shared papers)Dashuan Tian (3 shared papers)Zhaolei Li (2 shared papers)
- Journals
- Discrete Applied Mathematics (2 papers)The Journal of Immunology (2 papers)Proceedings of the National Academy of Sciences (2 papers)Clinical & Translational Oncology (1 paper)Immunology (1 paper)
- Partner nations
- United StatesChinaJapan
In The Last Decade
Ye Chen
38 papers receiving 931 citations
Peers
Comparison fields: 5 of 124
- Soil Science 160
- Cell Biology 178
- Immunology 127
- Modeling and Simulation 19
- Molecular Biology 277
Countries citing papers authored by Ye Chen
This map shows the geographic impact of Ye 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 Ye Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ye Chen more than expected).
Fields of papers citing papers by Ye Chen
This network shows the impact of papers produced by Ye 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 Ye Chen. The network helps show where Ye Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ye 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 43 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2002 | 119 | |
| 2 | 2021 | 103 | |
| 3 | 2016 | 98 | |
| 4 | 2021 | 90 | |
| 5 | 2004 | 88 | |
| 6 | 2002 | 87 | |
| 7 | 2021 | 42 | |
| 8 | 2000 | 39 | |
| 9 | 2006 | 37 | |
| 10 | 2016 | 23 | |
| 11 | 2020 | 23 | |
| 12 | 2011 | 22 | |
| 13 | 2000 | 17 | |
| 14 | 2017 | 17 | |
| 15 | 2020 | 16 | |
| 16 | 2018 | 14 | |
| 17 | 2015 | 13 | |
| 18 | 2018 | 13 | |
| 19 | 2004 | 11 | |
| 20 | 2022 | 11 |
About Ye Chen
Ye Chen is a scholar working on Molecular Biology, Immunology, Surgery, Oncology and Modeling and Simulation, having authored 43 papers that have together received 949 indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (6 papers), COVID-19 epidemiological studies (5 papers), T-cell and B-cell Immunology (3 papers), Diabetes and associated disorders (3 papers), Advanced Graph Theory Research (3 papers), Soil Carbon and Nitrogen Dynamics (3 papers), Influenza Virus Research Studies (3 papers) and Aldose Reductase and Taurine (3 papers). The work is most often cited by research in Soil Science (160 citations), Cell Biology (178 citations), Immunology (127 citations), Modeling and Simulation (19 citations) and Molecular Biology (277 citations). Ye Chen has collaborated with scholars based in United States, China and Japan. Frequent co-authors include Chester K. Williams, Maurice B. Burg, Joan D. Ferraris, Zheng Zhang, Jinsong Wang, Shuli Niu, Dashuan Tian, Zhaolei Li, Yiqi Luo and Abdalrahman Zarzour. Their work appears in journals such as Discrete Applied Mathematics, The Journal of Immunology, Proceedings of the National Academy of Sciences, Clinical & Translational Oncology and Immunology.
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.