Yu He
Impact in
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- Traditional Chinese Medicine Analysis
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
- Neurological Disease Mechanisms and Treatments
Papers in
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- Traditional Chinese Medicine Analysis 49
-
- Metabolomics and Mass Spectrometry Studies 11
- Mitochondrial Function and Pathology 8
- Co-authors
- Jiehong Yang (73 shared papers)Haitong Wan (60 shared papers)Huifen Zhou (56 shared papers)Li Yu (37 shared papers)Chang Li (30 shared papers)Haitong Wan (19 shared papers)Weifeng Jin (20 shared papers)Chongyu Shao (19 shared papers)
- Journals
- Frontiers in Pharmacology (16 papers)Journal of Ethnopharmacology (14 papers)Biomedicine & Pharmacotherapy (12 papers)Phytomedicine (10 papers)Food & Function (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yu He
154 papers receiving 2.9k citations
Peers
Comparison fields: 5 of 143
- Complementary and alternative medicine 680
- Neurology 393
- Pharmacology 328
- Pharmacology 263
- Filtration and Separation 34
Countries citing papers authored by Yu He
This map shows the geographic impact of Yu 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 Yu He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yu He more than expected).
Fields of papers citing papers by Yu He
This network shows the impact of papers produced by Yu 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 Yu He. The network helps show where Yu He may publish in the future.
Co-authors
The 25 scholars most cited alongside Yu 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 158 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2022 | 126 | |
| 2 | 2022 | 115 | |
| 3 | 2012 | 95 | |
| 4 | 2020 | 91 | |
| 5 | 2019 | 86 | |
| 6 | 2022 | 85 | |
| 7 | 2022 | 83 | |
| 8 | 2014 | 68 | |
| 9 | 2023 | 62 | |
| 10 | 2021 | 60 | |
| 11 | 2023 | 59 | |
| 12 | 2019 | 58 | |
| 13 | 2022 | 58 | |
| 14 | 2021 | 56 | |
| 15 | 2014 | 51 | |
| 16 | 2024 | 46 | |
| 17 | 2022 | 44 | |
| 18 | 2022 | 41 | |
| 19 | 2021 | 40 | |
| 20 | 2019 | 37 |
About Yu He
Yu He is a scholar working on Complementary and alternative medicine, Molecular Biology, Neurology, Pharmacology and Pharmacology, having authored 158 papers that have together received 3.0k indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (49 papers), Neurological Disease Mechanisms and Treatments (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (14 papers), Pharmacological Effects of Natural Compounds (11 papers), Metabolomics and Mass Spectrometry Studies (11 papers), Sunflower and Safflower Cultivation (8 papers), Mitochondrial Function and Pathology (8 papers) and Biological and pharmacological studies of plants (8 papers). The work is most often cited by research in Complementary and alternative medicine (680 citations), Neurology (393 citations), Pharmacology (328 citations), Pharmacology (263 citations) and Filtration and Separation (34 citations). Yu He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Jiehong Yang, Haitong Wan, Huifen Zhou, Li Yu, Chang Li, Haitong Wan, Weifeng Jin, Chongyu Shao, Haofang Wan and Guangwei Chen. Their work appears in journals such as Frontiers in Pharmacology, Journal of Ethnopharmacology, Biomedicine & Pharmacotherapy, Phytomedicine and Food & Function.
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.