Ke He
Impact in
-
- Traditional Chinese Medicine Analysis
- Traditional Chinese Medicine Studies
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
Papers in
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- Mitochondrial Function and Pathology 3
- ATP Synthase and ATPases Research 2
-
- Traditional Chinese Medicine Analysis 6
- Acupuncture Treatment Research Studies 2
- Co-authors
- Jing‐Yan Han (16 shared papers)Chun‐Shui Pan (17 shared papers)Jing‐Yu Fan (16 shared papers)Kai Sun (12 shared papers)Yuying Liu (14 shared papers)Xin Chang (10 shared papers)Bai‐He Hu (10 shared papers)Li Yan (7 shared papers)
- Journals
- Frontiers in Physiology (3 papers)Scientific Reports (3 papers)Evidence-based Complementary and Alternative Medicine (2 papers)Microcirculation (2 papers)The FASEB Journal (1 paper)
- Partner nations
- ChinaThailandUnited States
In The Last Decade
Ke He
30 papers receiving 736 citations
Peers
Comparison fields: 5 of 99
- Complementary and alternative medicine 183
- Neurology 70
- Reproductive Medicine 53
- Pathology and Forensic Medicine 94
- Pharmacology 44
Countries citing papers authored by Ke He
This map shows the geographic impact of Ke He'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 He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ke He more than expected).
Fields of papers citing papers by Ke He
This network shows the impact of papers produced by Ke He. 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 He. The network helps show where Ke He may publish in the future.
Co-authors
The 25 scholars most cited alongside Ke He, 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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 90 | |
| 2 | 2018 | 67 | |
| 3 | 2013 | 65 | |
| 4 | 2014 | 62 | |
| 5 | 2015 | 60 | |
| 6 | 2015 | 46 | |
| 7 | 2013 | 40 | |
| 8 | 2013 | 36 | |
| 9 | 2015 | 34 | |
| 10 | 2014 | 29 | |
| 11 | 2014 | 24 | |
| 12 | 2018 | 22 | |
| 13 | 2024 | 20 | |
| 14 | 2015 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2015 | 17 | |
| 17 | 2021 | 14 | |
| 18 | 2022 | 13 | |
| 19 | 2021 | 12 | |
| 20 | 2022 | 12 |
About Ke He
Ke He is a scholar working on Molecular Biology, Complementary and alternative medicine, Pathology and Forensic Medicine, Neurology and Cell Biology, having authored 32 papers that have together received 740 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (6 papers), Cardiac Ischemia and Reperfusion (6 papers), Mitochondrial Function and Pathology (3 papers), Caveolin-1 and cellular processes (3 papers), Acupuncture Treatment Research Studies (2 papers), Barrier Structure and Function Studies (2 papers), ATP Synthase and ATPases Research (2 papers) and Ginger and Zingiberaceae research (2 papers). The work is most often cited by research in Complementary and alternative medicine (183 citations), Neurology (70 citations), Reproductive Medicine (53 citations), Pathology and Forensic Medicine (94 citations) and Pharmacology (44 citations). Ke He has collaborated with scholars based in China, Thailand and United States. Frequent co-authors include Jing‐Yan Han, Chun‐Shui Pan, Jing‐Yu Fan, Kai Sun, Yuying Liu, Xin Chang, Bai‐He Hu, Li Yan, Quan Li and Chuan‐She Wang. Their work appears in journals such as Frontiers in Physiology, Scientific Reports, Evidence-based Complementary and Alternative Medicine, Microcirculation and The FASEB 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.