Chao‐Ke Tang
Impact in
- Cancer Research top 1%
- MicroRNA in disease regulation
- Cancer, Lipids, and Metabolism
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Surgery 78
- Cholesterol and Lipid Metabolism 67
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- Peroxisome Proliferator-Activated Receptors 26
- Co-authors
- Xiao-Hua Yu (29 shared papers)Xi‐Long Zheng (53 shared papers)Dawei Zhang (31 shared papers)Kai Yin (20 shared papers)Yuchang Fu (14 shared papers)Heng Li (13 shared papers)Shilin Tang (16 shared papers)Shangming Liu (4 shared papers)
- Journals
- Atherosclerosis (21 papers)Clinica Chimica Acta (13 papers)Acta Biochimica et Biophysica Sinica (12 papers)Biochemical and Biophysical Research Communications (9 papers)Circulation Journal (7 papers)
- Partner nations
- ChinaCanadaUnited States
In The Last Decade
Chao‐Ke Tang
140 papers receiving 6.4k citations
Chao‐Ke Tang's Hit Papers
Peers
Comparison fields: 5 of 171
- Cancer Research 1.3k
- Immunology 1.2k
- Surgery 1.8k
- Biochemistry 286
- Biological Psychiatry 72
Countries citing papers authored by Chao‐Ke Tang
This map shows the geographic impact of Chao‐Ke Tang'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 Chao‐Ke Tang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chao‐Ke Tang more than expected).
Fields of papers citing papers by Chao‐Ke Tang
This network shows the impact of papers produced by Chao‐Ke Tang. 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 Chao‐Ke Tang. The network helps show where Chao‐Ke Tang may publish in the future.
Co-authors
The 25 scholars most cited alongside Chao‐Ke Tang, 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 144 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Coronavirus disease 2019 (COVID-19): current status and future perspectives Hit paper breakdown → | 2020 | 785 |
| 2 | Foam cells in atherosclerosis Hit paper breakdown → | 2013 | 624 |
| 3 | 2018 | 177 | |
| 4 | 2021 | 160 | |
| 5 | 2013 | 155 | |
| 6 | 2010 | 127 | |
| 7 | 2015 | 119 | |
| 8 | 2012 | 117 | |
| 9 | 2013 | 114 | |
| 10 | 2014 | 106 | |
| 11 | 2012 | 99 | |
| 12 | 2011 | 96 | |
| 13 | 2014 | 87 | |
| 14 | 2013 | 85 | |
| 15 | 2008 | 82 | |
| 16 | 2013 | 79 | |
| 17 | 2010 | 77 | |
| 18 | 2018 | 73 | |
| 19 | 2015 | 72 | |
| 20 | 2008 | 71 |
About Chao‐Ke Tang
Chao‐Ke Tang is a scholar working on Surgery, Molecular Biology, Cancer Research, Immunology and Oncology, having authored 144 papers that have together received 6.5k indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (67 papers), Peroxisome Proliferator-Activated Receptors (26 papers), Cancer, Lipids, and Metabolism (22 papers), Atherosclerosis and Cardiovascular Diseases (20 papers), Drug Transport and Resistance Mechanisms (16 papers), Adipokines, Inflammation, and Metabolic Diseases (12 papers), MicroRNA in disease regulation (12 papers) and Lipid metabolism and disorders (11 papers). The work is most often cited by research in Cancer Research (1.3k citations), Immunology (1.2k citations), Surgery (1.8k citations), Biochemistry (286 citations) and Biological Psychiatry (72 citations). Chao‐Ke Tang has collaborated with scholars based in China, Canada and United States. Frequent co-authors include Xiao-Hua Yu, Xi‐Long Zheng, Dawei Zhang, Kai Yin, Yuchang Fu, Heng Li, Shilin Tang, Shangming Liu, Xiaohua Yu and Xin-Ping Ouyang. Their work appears in journals such as Atherosclerosis, Clinica Chimica Acta, Acta Biochimica et Biophysica Sinica, Biochemical and Biophysical Research Communications and Circulation Journal.
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.