Yan He
- Cancer Research top 5%
- Cancer-related molecular mechanisms research 12
- MicroRNA in disease regulation 10
- Nephrology top 5%
- Immunology top 10%
- T-cell and B-cell Immunology 10
- Immune Cell Function and Interaction 9
- Immunotherapy and Immune Responses 6
- Molecular Biology top 10%
- RNA modifications and cancer 9
- Rheumatology top 10%
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- Hepatitis B Virus Studies 8
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- Salivary Gland Disorders and Functions 6
- Cited by
- Cancer ResearchNephrologyImmunology
- Journals
- Forensic Science International (5 papers)PLoS ONE (5 papers)Frontiers in Immunology (4 papers)
- Partner nations
- ChinaUnited StatesCanada
In The Last Decade
Yan He
112 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 122
- Cancer Research 510
- Nephrology 172
- Immunology 314
- Molecular Biology 772
- Rheumatology 109
Countries citing papers authored by Yan He
This map shows the geographic impact of Yan 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 Yan He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan He more than expected).
Fields of papers citing papers by Yan He
This network shows the impact of papers produced by Yan 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 Yan He. The network helps show where Yan He may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan 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 | 1 | |
| 2 | 2025 | 1 | |
| 3 | 2023 | 3 | |
| 4 | 2022 | 4 | |
| 5 | 2022 | 3 | |
| 6 | 2022 | 3 | |
| 7 | 2021 | 2 | |
| 8 | 2021 | 2 | |
| 9 | 2021 | 16 | |
| 10 | 2020 | 13 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 2 | |
| 13 | Association Between Glucose Metabolism And Vascular Aging In Chinese Adults: A Cross-Sectional Analysis In The Tianning Cohort Study | 2019 | 1 |
| 14 | 2017 | 60 | |
| 15 | 2016 | 1 | |
| 16 | 2012 | 83 | |
| 17 | Study on association of IL-10 592 and ESR1 T29C gene polymorphism with susceptibility to hepatitis B viras infection in Yi minority from Guizhou. | 2010 | 1 |
| 18 | Carto merge technique guided circumferential pulmonary veins ablation in combination with single Lasso for atrial fibrillation. | 2010 | 0 |
| 19 | [Study on the association of IL-10-592 polymorphism with susceptibility to hepatitis B viral infection in Han, Yi and Yao ethnic groups in Guizhou province]. | 2008 | 3 |
| 20 | Study on common mutations of G6PD gene in Miao、Shui and Yao ethnic groups | 2004 | 1 |
About Yan He
Yan He is a scholar working on Immunology, Cancer Research, Virology, Nephrology and Cardiology and Cardiovascular Medicine, having authored 118 papers that have together received 1.5k indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (12 papers), T-cell and B-cell Immunology (10 papers), MicroRNA in disease regulation (10 papers), Immune Cell Function and Interaction (9 papers), RNA modifications and cancer (9 papers), Hepatitis B Virus Studies (8 papers), Salivary Gland Disorders and Functions (6 papers) and Immunotherapy and Immune Responses (6 papers). The work is most often cited by research in Cancer Research (510 citations), Nephrology (172 citations), Immunology (314 citations), Molecular Biology (772 citations) and Rheumatology (109 citations). Yan He has collaborated with scholars based in China, United States and Canada. Frequent co-authors include Guixiu Shi, Yuzhen Gao, Di Zou, Wen Wu, Ji Gao, Lihua Duan, Yuan Liu, Hongyan Qian, Tingting Chen and Zhengsheng Wu. Their work appears in journals such as Forensic Science International, PLoS ONE, Frontiers in Immunology, Journal of Immunology Research and DNA and Cell Biology.
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.