Keshi Chen
Impact in
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- Pluripotent Stem Cells Research
- CRISPR and Genetic Engineering
- Epigenetics and DNA Methylation
- Mitochondrial Function and Pathology
- Renal and related cancers
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- Cancer, Hypoxia, and Metabolism
Papers in
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- Pluripotent Stem Cells Research 9
- CRISPR and Genetic Engineering 7
- Mitochondrial Function and Pathology 4
- Renal and related cancers 2
- RNA Interference and Gene Delivery 2
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- Advanced Data Compression Techniques 3
- Co-authors
- Duanqing Pei (6 shared papers)Guangjin Pan (2 shared papers)Baoming Qin (1 shared paper)Xiaoming Zeng (1 shared paper)Tao Wang (1 shared paper)Jianguo Yang (1 shared paper)Xingguo Liu (14 shared papers)Xi Shi (1 shared paper)
- Journals
- Cell Death and Disease (2 papers)Science Bulletin (2 papers)Biochemical and Biophysical Research Communications (2 papers)Cell Metabolism (1 paper)Autophagy (1 paper)
- Partner nations
- ChinaHong KongUnited States
In The Last Decade
Keshi Chen
20 papers receiving 741 citations
Peers
Comparison fields: 5 of 87
- Molecular Biology 574
- Cancer Research 99
- Aging 11
- Clinical Biochemistry 32
- Nutrition and Dietetics 66
Countries citing papers authored by Keshi Chen
This map shows the geographic impact of Keshi 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 Keshi Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keshi Chen more than expected).
Fields of papers citing papers by Keshi Chen
This network shows the impact of papers produced by Keshi 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 Keshi Chen. The network helps show where Keshi Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Keshi 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 21 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2011 | 358 | |
| 2 | 2015 | 75 | |
| 3 | 2015 | 49 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 35 | |
| 6 | 2022 | 35 | |
| 7 | 2019 | 35 | |
| 8 | 2013 | 22 | |
| 9 | 2023 | 22 | |
| 10 | 2015 | 22 | |
| 11 | 2014 | 15 | |
| 12 | 2018 | 12 | |
| 13 | 2021 | 8 | |
| 14 | 1998 | 6 | |
| 15 | 2017 | 5 | |
| 16 | 1990 | 4 | |
| 17 | 1993 | 2 | |
| 18 | 2021 | 1 | |
| 19 | 2017 | 1 | |
| 20 | 1991 | 1 |
About Keshi Chen
Keshi Chen is a scholar working on Molecular Biology, Computer Vision and Pattern Recognition, Surgery, Epidemiology and Artificial Intelligence, having authored 21 papers that have together received 749 indexed citations. Recurring topics across this work include Pluripotent Stem Cells Research (9 papers), CRISPR and Genetic Engineering (7 papers), Mitochondrial Function and Pathology (4 papers), Advanced Data Compression Techniques (3 papers), Renal and related cancers (2 papers), Virus-based gene therapy research (2 papers), RNA Interference and Gene Delivery (2 papers) and Autophagy in Disease and Therapy (2 papers). The work is most often cited by research in Molecular Biology (574 citations), Cancer Research (99 citations), Aging (11 citations), Clinical Biochemistry (32 citations) and Nutrition and Dietetics (66 citations). Keshi Chen has collaborated with scholars based in China, Hong Kong and United States. Frequent co-authors include Duanqing Pei, Guangjin Pan, Baoming Qin, Xiaoming Zeng, Tao Wang, Jianguo Yang, Xingguo Liu, Xi Shi, Lingwen Zeng and Yun Wu. Their work appears in journals such as Cell Death and Disease, Science Bulletin, Biochemical and Biophysical Research Communications, Cell Metabolism and Autophagy.
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.