Yan Huang
- Immunology top 5%
- Infectious Diseases top 5%
- COVID-19 Clinical Research Studies 6
- Epidemiology top 5%
- Liver Disease Diagnosis and Treatment 7
- Influenza Virus Research Studies 6
- Endocrinology top 10%
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- Cardiac electrophysiology and arrhythmias 11
- Cardiac Fibrosis and Remodeling 7
- Cardiovascular Function and Risk Factors 6
- Heart Failure Treatment and Management 5
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- Ion channel regulation and function 7
- Co-authors
- Priyanka DesaiThomas PowellJie TangValerian NakaarJames W. HuleattLangzhou SongWilliam F. McDonaldAlice K. Jacobs
- Journals
- Circulation (1 paper)Journal of Clinical Investigation (1 paper)SHILAP Revista de lepidopterología (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yan Huang
110 papers receiving 2.1k citations
Hit Papers
Peers
Comparison fields: 5 of 135
- Immunology 561
- Infectious Diseases 344
- Epidemiology 561
- Endocrinology 64
- Cardiology and Cardiovascular Medicine 281
Countries citing papers authored by Yan Huang
This map shows the geographic impact of Yan Huang'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 Huang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Huang more than expected).
Fields of papers citing papers by Yan Huang
This network shows the impact of papers produced by Yan Huang. 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 Huang. The network helps show where Yan Huang may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yan Huang, 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 | 2025 | 2 | |
| 3 | 2025 | 0 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2024 | 2 | |
| 7 | 2024 | 13 | |
| 8 | 2024 | 15 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2022 | 3 | |
| 12 | 2022 | 3 | |
| 13 | 2020 | 16 | |
| 14 | 2020 | 45 | |
| 15 | Potential Diagnostic Value Of Combining Inflammatory Cell Ratios With Carcinoembryonic Antigen For Colorectal Cancer | 2019 | 1 |
| 16 | 2019 | 30 | |
| 17 | 2018 | 1 | |
| 18 | 2015 | 1 | |
| 19 | Effect of ivabradine on hyperpolarization activated cation current in canine pulmonary vein sleeve cardiomyocytes with atrial fibrillation | 2008 | 1 |
| 20 | 2007 | 150 |
About Yan Huang
Yan Huang is a scholar working on Cardiology and Cardiovascular Medicine, Biological Psychiatry and Immunology, having authored 123 papers that have together received 2.2k indexed citations. Recurring topics across this work include Cardiac electrophysiology and arrhythmias (11 papers), Ion channel regulation and function (7 papers), Liver Disease Diagnosis and Treatment (7 papers), Cardiac Fibrosis and Remodeling (7 papers), Influenza Virus Research Studies (6 papers), COVID-19 Clinical Research Studies (6 papers), Cardiovascular Function and Risk Factors (6 papers) and Heart Failure Treatment and Management (5 papers). The work is most often cited by research in Immunology (561 citations), Infectious Diseases (344 citations) and Epidemiology (561 citations). Yan Huang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Priyanka Desai, Thomas Powell, Jie Tang, Valerian Nakaar, James W. Huleatt, Langzhou Song, William F. McDonald, Alice K. Jacobs, Scott Umlauf and Lynda Tussey. Their work appears in journals such as Circulation, Journal of Clinical Investigation and SHILAP Revista de lepidopterología.
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.