Beihui He
- Pharmacology top 5%
- Epidemiology top 10%
- Liver Disease Diagnosis and Treatment 20
- Hepatology top 10%
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- Natural Antidiabetic Agents Studies 3
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- Cancer-related molecular mechanisms research 5
- MicroRNA in disease regulation 4
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- Lipid metabolism and disorders 4
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- Gut microbiota and health 4
- Metabolomics and Mass Spectrometry Studies 3
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- Traditional Chinese Medicine Analysis 3
- Co-authors
- Zhiyun ChenJunbin YanLiyan WuJianping JiangXiang QinJin LiDawei CuiWei Xie
- Cited by
- PharmacologyEpidemiologyHepatology
In The Last Decade
Beihui He
41 papers receiving 857 citations
Peers
Comparison fields: 5 of 91
- Pharmacology 85
- Epidemiology 335
- Hepatology 68
- Immunology 145
- Endocrinology, Diabetes and Metabolism 98
Countries citing papers authored by Beihui He
This map shows the geographic impact of Beihui 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 Beihui He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Beihui He more than expected).
Fields of papers citing papers by Beihui He
This network shows the impact of papers produced by Beihui 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 Beihui He. The network helps show where Beihui He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Beihui 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
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2024 | 5 | |
| 4 | 2023 | 1 | |
| 5 | 2023 | 26 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 6 | |
| 8 | 2022 | 3 | |
| 9 | 2022 | 43 | |
| 10 | 2021 | 8 | |
| 11 | 2021 | 6 | |
| 12 | 2021 | 21 | |
| 13 | 2021 | 10 | |
| 14 | 2021 | 40 | |
| 15 | 2021 | 12 | |
| 16 | 2020 | 18 | |
| 17 | 2020 | 33 | |
| 18 | 2020 | 238 | |
| 19 | Effect of TFHL on expression of CYP2E1 in liver tissue of rats with NASH. | 2010 | 1 |
| 20 | Effect of total flavonoids of Chinese hawthorn leaf on expression of NF-κB and its inhibitor in rat liver with non-alcoholic steato-hepatitis. | 2009 | 2 |
About Beihui He
Beihui He is a scholar working on Epidemiology, Complementary and alternative medicine, Pharmacology, Cancer Research and Biochemistry, having authored 43 papers that have together received 863 indexed citations. Recurring topics across this work include Liver Disease Diagnosis and Treatment (20 papers), Cancer-related molecular mechanisms research (5 papers), MicroRNA in disease regulation (4 papers), Lipid metabolism and disorders (4 papers), Gut microbiota and health (4 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Traditional Chinese Medicine Analysis (3 papers) and Natural Antidiabetic Agents Studies (3 papers). The work is most often cited by research in Pharmacology (85 citations), Epidemiology (335 citations), Hepatology (68 citations), Immunology (145 citations) and Endocrinology, Diabetes and Metabolism (98 citations). Beihui He has collaborated with scholars based in China, Australia and Israel. Frequent co-authors include Zhiyun Chen, Junbin Yan, Liyan Wu, Jianping Jiang, Xiang Qin, Jin Li, Dawei Cui, Wei Xie, Hong Wei and Shanshan Chen. Their work appears in journals such as Frontiers in Pharmacology, Frontiers in Nutrition, Journal of Immunology Research, BMC Immunology and Frontiers in Oncology.
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.