Wenfeng He
Impact in
- Internal Medicine top 5%
- Venous Thromboembolism Diagnosis and Management
- Cancer Research top 10%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
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- Circular RNAs in diseases 5
-
- Cancer-related molecular mechanisms research 10
- MicroRNA in disease regulation 9
- Co-authors
- Wengen Zhu (8 shared papers)Kui Hong (3 shared papers)Linjuan Guo (4 shared papers)Yang Shen (4 shared papers)Qing Cao (3 shared papers)Yunyun Li (2 shared papers)Tingting Huang (2 shared papers)Xin Liu (2 shared papers)
- Journals
- Medicine (4 papers)Frontiers in Cardiovascular Medicine (3 papers)Frontiers in Oncology (2 papers)Drug Delivery (2 papers)Journal of Cancer (2 papers)
- Partner nations
- ChinaUnited StatesIran
In The Last Decade
Wenfeng He
55 papers receiving 959 citations
Peers
Comparison fields: 5 of 104
- Internal Medicine 81
- Cancer Research 263
- Cardiology and Cardiovascular Medicine 255
- Molecular Biology 407
- Geriatrics and Gerontology 18
Countries citing papers authored by Wenfeng He
This map shows the geographic impact of Wenfeng 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 Wenfeng He with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wenfeng He more than expected).
Fields of papers citing papers by Wenfeng He
This network shows the impact of papers produced by Wenfeng 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 Wenfeng He. The network helps show where Wenfeng He may publish in the future.
Co-authors
The 25 scholars most cited alongside Wenfeng 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 59 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 139 | |
| 2 | 2013 | 91 | |
| 3 | 2014 | 80 | |
| 4 | 2011 | 38 | |
| 5 | 2013 | 37 | |
| 6 | 2021 | 37 | |
| 7 | 2020 | 36 | |
| 8 | 2019 | 35 | |
| 9 | 2013 | 32 | |
| 10 | 2017 | 32 | |
| 11 | 2017 | 31 | |
| 12 | 2018 | 29 | |
| 13 | 2020 | 24 | |
| 14 | 2022 | 21 | |
| 15 | 2021 | 20 | |
| 16 | 2021 | 18 | |
| 17 | 2020 | 15 | |
| 18 | 2019 | 14 | |
| 19 | 2024 | 14 | |
| 20 | 2019 | 14 |
About Wenfeng He
Wenfeng He is a scholar working on Molecular Biology, Cancer Research, Cardiology and Cardiovascular Medicine, Oncology and Pulmonary and Respiratory Medicine, having authored 59 papers that have together received 968 indexed citations. Recurring topics across this work include Cancer-related molecular mechanisms research (10 papers), MicroRNA in disease regulation (9 papers), Atrial Fibrillation Management and Outcomes (7 papers), Circular RNAs in diseases (5 papers), Cardiac Arrhythmias and Treatments (4 papers), Cardiomyopathy and Myosin Studies (4 papers), Venous Thromboembolism Diagnosis and Management (4 papers) and Cytokine Signaling Pathways and Interactions (3 papers). The work is most often cited by research in Internal Medicine (81 citations), Cancer Research (263 citations), Cardiology and Cardiovascular Medicine (255 citations), Molecular Biology (407 citations) and Geriatrics and Gerontology (18 citations). Wenfeng He has collaborated with scholars based in China, United States and Iran. Frequent co-authors include Wengen Zhu, Kui Hong, Linjuan Guo, Yang Shen, Qing Cao, Yunyun Li, Tingting Huang, Xin Liu, Bo Wei and Yue Zhou. Their work appears in journals such as Medicine, Frontiers in Cardiovascular Medicine, Frontiers in Oncology, Drug Delivery and Journal of Cancer.
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.