Yan Zhang
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- Blood Pressure and Hypertension Studies 58
- Cardiovascular Health and Disease Prevention 53
- Cardiovascular Function and Risk Factors 27
- Cardiac pacing and defibrillation studies 23
- Nutrition and Dietetics top 0.2%
- Selenium in Biological Systems 43
- Trace Elements in Health 32
- Nephrology top 2%
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- Cerebrovascular and Carotid Artery Diseases 28
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- Folate and B Vitamins Research 21
Yan Zhang
405 papers receiving 10.1k citations
Hit Papers
Peers
Comparison fields: 5 of 197
- Cardiology and Cardiovascular Medicine 3.3k
- Nutrition and Dietetics 1.9k
- Nephrology 359
- Health, Toxicology and Mutagenesis 598
- Endocrinology, Diabetes and Metabolism 662
Countries citing papers authored by Yan Zhang
This map shows the geographic impact of Yan Zhang'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 Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Zhang more than expected).
Fields of papers citing papers by Yan Zhang
This network shows the impact of papers produced by Yan Zhang. 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 Zhang. The network helps show where Yan Zhang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Zhang, 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 | 2 | |
| 3 | 2024 | 7 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 0 | |
| 6 | 2024 | 0 | |
| 7 | 2024 | 0 | |
| 8 | 2022 | 3 | |
| 9 | 2021 | 2 | |
| 10 | 2021 | 0 | |
| 11 | 2021 | 3 | |
| 12 | 2020 | 4 | |
| 13 | 2020 | 20 | |
| 14 | 2019 | 23 | |
| 15 | 2016 | 45 | |
| 16 | [C, N and P stoichiometric characteristics of different root orders for three dominant tree species in subalpine forests of western Sichuan, China]. | 2015 | 3 |
| 17 | 2015 | 1 | |
| 18 | [Rhein promotes the expression of SIRT1 in kidney tissues of type 2 diabetic rat]. | 2015 | 17 |
| 19 | 2013 | 0 | |
| 20 | Abstract 12064: Low Income, Regardless of Education Level, is a Significant Independent Predictor of Incident Heart Failure in Community-Dwelling, Medicare-Eligible Older Adults | 2011 | 1 |
About Yan Zhang
Yan Zhang is a scholar working on Cardiology and Cardiovascular Medicine, Nutrition and Dietetics and Nephrology, having authored 439 papers that have together received 10.3k indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (58 papers), Cardiovascular Health and Disease Prevention (53 papers), Selenium in Biological Systems (43 papers), Trace Elements in Health (32 papers), Cerebrovascular and Carotid Artery Diseases (28 papers), Cardiovascular Function and Risk Factors (27 papers), Cardiac pacing and defibrillation studies (23 papers) and Folate and B Vitamins Research (21 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (3.3k citations), Nutrition and Dietetics (1.9k citations) and Nephrology (359 citations). Yan Zhang has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Vadim N. Gladyshev, Wenxuan Han, Jingyun Fang, Dali Guo, Dolph L. Hatfield, Yong Huo, John E. Sanderson, Jianping Li, Cheuk‐Man Yu and Qing Zhang. Their work appears in journals such as The Lancet, Nucleic Acids Research and Journal of Biological Chemistry.
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.