Chaodong Wu
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Hepatology top 2%
Papers in
- Epidemiology 46
- Liver Disease Diagnosis and Treatment 29
- Adipokines, Inflammation, and Metabolic Diseases 13
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- Metabolism, Diabetes, and Cancer 27
- Peroxisome Proliferator-Activated Receptors 9
- Co-authors
- Honggui Li (33 shared papers)Alex J. Lange (16 shared papers)Xin Guo (23 shared papers)Yuqing Huo (27 shared papers)David A. Okar (8 shared papers)Hang Xu (13 shared papers)Gianfranco Alpini (28 shared papers)Shannon Glaser (28 shared papers)
- Journals
- Journal of Endocrinology (8 papers)PLoS ONE (7 papers)Hepatology (7 papers)The Journal of Nutritional Biochemistry (6 papers)Arteriosclerosis Thrombosis and Vascular Biology (6 papers)
- Partner nations
- United StatesChinaItaly
In The Last Decade
Chaodong Wu
128 papers receiving 5.6k citations
Peers
Comparison fields: 5 of 131
- Cancer Research 773
- Hepatology 352
- Endocrinology, Diabetes and Metabolism 704
- Epidemiology 1.4k
- Physiology 1.0k
Countries citing papers authored by Chaodong Wu
This map shows the geographic impact of Chaodong Wu'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 Chaodong Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chaodong Wu more than expected).
Fields of papers citing papers by Chaodong Wu
This network shows the impact of papers produced by Chaodong Wu. 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 Chaodong Wu. The network helps show where Chaodong Wu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chaodong Wu, 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 128 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 356 | |
| 2 | 2018 | 326 | |
| 3 | 2018 | 215 | |
| 4 | 2014 | 204 | |
| 5 | 2016 | 163 | |
| 6 | 2014 | 163 | |
| 7 | 2020 | 162 | |
| 8 | 2021 | 160 | |
| 9 | 2020 | 133 | |
| 10 | 2012 | 128 | |
| 11 | 2012 | 116 | |
| 12 | 2020 | 111 | |
| 13 | 2016 | 95 | |
| 14 | 2019 | 95 | |
| 15 | 2004 | 89 | |
| 16 | 2017 | 85 | |
| 17 | 2005 | 82 | |
| 18 | 2012 | 80 | |
| 19 | 2015 | 76 | |
| 20 | 2014 | 75 |
About Chaodong Wu
Chaodong Wu is a scholar working on Epidemiology, Molecular Biology, Surgery, Physiology and Endocrinology, Diabetes and Metabolism, having authored 128 papers that have together received 5.6k indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (29 papers), Metabolism, Diabetes, and Cancer (27 papers), Adipose Tissue and Metabolism (20 papers), Pancreatic function and diabetes (17 papers), Diet, Metabolism, and Disease (15 papers), Adipokines, Inflammation, and Metabolic Diseases (13 papers), Diet and metabolism studies (12 papers) and Peroxisome Proliferator-Activated Receptors (9 papers). The work is most often cited by research in Cancer Research (773 citations), Hepatology (352 citations), Endocrinology, Diabetes and Metabolism (704 citations), Epidemiology (1.4k citations) and Physiology (1.0k citations). Chaodong Wu has collaborated with scholars based in United States, China and Italy. Frequent co-authors include Honggui Li, Alex J. Lange, Xin Guo, Yuqing Huo, David A. Okar, Hang Xu, Gianfranco Alpini, Shannon Glaser, Xiaoqiu Xiao and L. J. Johnston. Their work appears in journals such as Journal of Endocrinology, PLoS ONE, Hepatology, The Journal of Nutritional Biochemistry and Arteriosclerosis Thrombosis and Vascular 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.