Shuai Chen
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- Cancer, Hypoxia, and Metabolism
Papers in
-
- Metabolism, Diabetes, and Cancer 18
- Ubiquitin and proteasome pathways 7
- 14-3-3 protein interactions 7
- Protein Kinase Regulation and GTPase Signaling 6
- Surgery 17
- Pancreatic function and diabetes 15
- Co-authors
- Carol MacKintosh (14 shared papers)Kei Sakamoto (5 shared papers)Hong Yu Wang (17 shared papers)David H. Wasserman (2 shared papers)Qiaoli Chen (21 shared papers)Bingxian Xie (10 shared papers)Chao Quan (17 shared papers)D. Grahame Hardie (2 shared papers)
- Journals
- Nature Communications (6 papers)Science China Life Sciences (3 papers)Diabetes (3 papers)Developmental Cell (3 papers)Cellular Signalling (3 papers)
- Partner nations
- ChinaUnited KingdomUnited States
In The Last Decade
Shuai Chen
55 papers receiving 2.1k citations
Shuai Chen's Hit Papers
Peers
Comparison fields: 5 of 107
- Biochemistry 224
- Cancer Research 348
- Molecular Biology 1.4k
- Physiology 472
- Cell Biology 292
Countries citing papers authored by Shuai Chen
This map shows the geographic impact of Shuai 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 Shuai Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shuai Chen more than expected).
Fields of papers citing papers by Shuai Chen
This network shows the impact of papers produced by Shuai 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 Shuai Chen. The network helps show where Shuai Chen may publish in the future.
Co-authors
The 25 scholars most cited alongside Shuai 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | CD36 facilitates fatty acid uptake by dynamic palmitoylation-regulated endocytosis Hit paper breakdown → | 2020 | 312 |
| 2 | 2015 | 171 | |
| 3 | 2007 | 153 | |
| 4 | 2019 | 146 | |
| 5 | 2011 | 139 | |
| 6 | 2009 | 137 | |
| 7 | 2014 | 103 | |
| 8 | 2012 | 70 | |
| 9 | 2023 | 66 | |
| 10 | 2011 | 64 | |
| 11 | 2011 | 58 | |
| 12 | 2011 | 55 | |
| 13 | 2016 | 51 | |
| 14 | 2018 | 43 | |
| 15 | 2023 | 40 | |
| 16 | 2020 | 40 | |
| 17 | 2009 | 34 | |
| 18 | 2016 | 31 | |
| 19 | 2012 | 31 | |
| 20 | 2014 | 31 |
About Shuai Chen
Shuai Chen is a scholar working on Molecular Biology, Surgery, Physiology, Cell Biology and Biochemistry, having authored 59 papers that have together received 2.2k indexed citations. Recurring topics across this work include Metabolism, Diabetes, and Cancer (18 papers), Pancreatic function and diabetes (15 papers), Adipose Tissue and Metabolism (9 papers), Lipid metabolism and biosynthesis (9 papers), Ubiquitin and proteasome pathways (7 papers), 14-3-3 protein interactions (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers) and Cellular transport and secretion (4 papers). The work is most often cited by research in Biochemistry (224 citations), Cancer Research (348 citations), Molecular Biology (1.4k citations), Physiology (472 citations) and Cell Biology (292 citations). Shuai Chen has collaborated with scholars based in China, United Kingdom and United States. Frequent co-authors include Carol MacKintosh, Kei Sakamoto, Hong Yu Wang, David H. Wasserman, Qiaoli Chen, Bingxian Xie, Chao Quan, D. Grahame Hardie, Tong‐Jin Zhao and Hongrui Wang. Their work appears in journals such as Nature Communications, Science China Life Sciences, Diabetes, Developmental Cell and Cellular Signalling.
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.