Li Yan
Impact in
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- Traditional Chinese Medicine Analysis
- Neurology top 10%
- Neurological Disease Mechanisms and Treatments
- Barrier Structure and Function Studies
Papers in
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- Ginseng Biological Effects and Applications 5
- Mitochondrial Function and Pathology 3
- Neurology 10
- Barrier Structure and Function Studies 8
- Neurological Disease Mechanisms and Treatments 3
- Co-authors
- Jing‐Yu Fan (23 shared papers)Jing‐Yan Han (22 shared papers)Chun‐Shui Pan (22 shared papers)Yuying Liu (17 shared papers)Kai Sun (18 shared papers)Bai‐He Hu (9 shared papers)Xin Chang (7 shared papers)Chuan‐She Wang (10 shared papers)
In The Last Decade
Li Yan
31 papers receiving 636 citations
Peers
Comparison fields: 5 of 81
- Complementary and alternative medicine 185
- Neurology 115
- Pharmacology 119
- Cancer Research 77
- Pathology and Forensic Medicine 83
Countries citing papers authored by Li Yan
This map shows the geographic impact of Li Yan'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 Li Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Li Yan more than expected).
Fields of papers citing papers by Li Yan
This network shows the impact of papers produced by Li Yan. 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 Li Yan. The network helps show where Li Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Li Yan, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 65 | |
| 2 | 2018 | 64 | |
| 3 | 2015 | 60 | |
| 4 | 2013 | 52 | |
| 5 | 2018 | 46 | |
| 6 | 2015 | 44 | |
| 7 | 2013 | 40 | |
| 8 | 2017 | 30 | |
| 9 | 2016 | 30 | |
| 10 | 2014 | 29 | |
| 11 | 2014 | 28 | |
| 12 | 2018 | 20 | |
| 13 | 2018 | 18 | |
| 14 | 2019 | 14 | |
| 15 | 2013 | 13 | |
| 16 | 2014 | 13 | |
| 17 | 2013 | 11 | |
| 18 | 2019 | 10 | |
| 19 | 2016 | 10 | |
| 20 | 2019 | 9 |
About Li Yan
Li Yan is a scholar working on Molecular Biology, Neurology, Immunology, Cancer Research and Pharmacology, having authored 31 papers that have together received 641 indexed citations. Recurring topics across this work include Barrier Structure and Function Studies (8 papers), Ginseng Biological Effects and Applications (5 papers), Cancer-related molecular mechanisms research (4 papers), Traditional Chinese Medicine Analysis (4 papers), Immune Response and Inflammation (4 papers), Neurological Disease Mechanisms and Treatments (3 papers), Cardiac Ischemia and Reperfusion (3 papers) and Mitochondrial Function and Pathology (3 papers). The work is most often cited by research in Complementary and alternative medicine (185 citations), Neurology (115 citations), Pharmacology (119 citations), Cancer Research (77 citations) and Pathology and Forensic Medicine (83 citations). Li Yan has collaborated with scholars based in China, Hong Kong and Japan. Frequent co-authors include Jing‐Yu Fan, Jing‐Yan Han, Chun‐Shui Pan, Yuying Liu, Kai Sun, Bai‐He Hu, Xin Chang, Chuan‐She Wang, Ke He and Quan Li. Their work appears in journals such as Frontiers in Physiology, Microcirculation, Scientific Reports, American Journal of Physiology-Gastrointestinal and Liver Physiology 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.