Ke Chen
Impact in
- Molecular Biology top 5%
- Machine Learning in Bioinformatics
- Protein Structure and Dynamics
- RNA and protein synthesis mechanisms
- Genomics and Phylogenetic Studies
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- Computational Drug Discovery Methods
Papers in
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- Protein Structure and Dynamics 26
- Machine Learning in Bioinformatics 20
- RNA and protein synthesis mechanisms 18
- Genomics and Phylogenetic Studies 11
- RNA modifications and cancer 5
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- Enzyme Structure and Function 9
- Co-authors
- Lukasz Kurgan (35 shared papers)Phil S. Baran (3 shared papers)Jishou Ruan (14 shared papers)Marcin J. Mizianty (5 shared papers)Michael P. DeMartino (1 shared paper)James Lam (2 shared papers)Yan Zhao (1 shared paper)Huijun Gao (1 shared paper)
- Journals
- Bioinformatics (5 papers)Biochemical and Biophysical Research Communications (5 papers)PLoS ONE (2 papers)The Journal of Physical Chemistry B (2 papers)Algorithms for Molecular Biology (2 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Ke Chen
93 papers receiving 3.5k citations
Peers
Comparison fields: 5 of 150
- Molecular Biology 2.0k
- Computational Theory and Mathematics 366
- Organic Chemistry 658
- Biotechnology 100
- Control and Systems Engineering 242
Countries citing papers authored by Ke Chen
This map shows the geographic impact of Ke 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 Ke Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke Chen more than expected).
Fields of papers citing papers by Ke Chen
This network shows the impact of papers produced by Ke 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 Ke Chen. The network helps show where Ke Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke 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 97 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 359 | |
| 2 | 2008 | 264 | |
| 3 | 2009 | 238 | |
| 4 | 2010 | 151 | |
| 5 | 2008 | 141 | |
| 6 | 2014 | 128 | |
| 7 | 2008 | 120 | |
| 8 | 2007 | 116 | |
| 9 | 2011 | 103 | |
| 10 | 2007 | 102 | |
| 11 | 2007 | 100 | |
| 12 | 2020 | 87 | |
| 13 | 2008 | 75 | |
| 14 | 2009 | 74 | |
| 15 | 2008 | 73 | |
| 16 | 2007 | 72 | |
| 17 | 2011 | 68 | |
| 18 | 2019 | 68 | |
| 19 | 2009 | 66 | |
| 20 | 2011 | 57 |
About Ke Chen
Ke Chen is a scholar working on Molecular Biology, Materials Chemistry, Computational Theory and Mathematics, Cell Biology and Electrical and Electronic Engineering, having authored 97 papers that have together received 3.6k indexed citations. Recurring topics across this work include Protein Structure and Dynamics (26 papers), Machine Learning in Bioinformatics (20 papers), RNA and protein synthesis mechanisms (18 papers), Genomics and Phylogenetic Studies (11 papers), Computational Drug Discovery Methods (10 papers), Enzyme Structure and Function (9 papers), Bacterial Genetics and Biotechnology (5 papers) and RNA modifications and cancer (5 papers). The work is most often cited by research in Molecular Biology (2.0k citations), Computational Theory and Mathematics (366 citations), Organic Chemistry (658 citations), Biotechnology (100 citations) and Control and Systems Engineering (242 citations). Ke Chen has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Lukasz Kurgan, Phil S. Baran, Jishou Ruan, Marcin J. Mizianty, Michael P. DeMartino, James Lam, Yan Zhao, Huijun Gao, Krzysztof J. Cios and Tuo Zhang. Their work appears in journals such as Bioinformatics, Biochemical and Biophysical Research Communications, PLoS ONE, The Journal of Physical Chemistry B and Algorithms for Molecular Biology.
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.