Zhaofei Wan
Impact in
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- Acute Myocardial Infarction Research
- Cardiac Fibrosis and Remodeling
Papers in
- Oncology 9
- Inflammatory Biomarkers in Disease Prognosis 5
- PARP inhibition in cancer therapy 2
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- Acute Myocardial Infarction Research 3
- Cardiac electrophysiology and arrhythmias 2
- Antiplatelet Therapy and Cardiovascular Diseases 2
- Co-authors
- Zuyi Yuan (12 shared papers)Dong Zhou (8 shared papers)Xinhong Wang (7 shared papers)Juan Zhou (6 shared papers)Jiahong Xue (3 shared papers)Xiaojun Liu (1 shared paper)Zhenhua Han (1 shared paper)Yan Wu (3 shared papers)
In The Last Decade
Zhaofei Wan
25 papers receiving 476 citations
Peers
Comparison fields: 5 of 71
- Cardiology and Cardiovascular Medicine 142
- Internal Medicine 20
- Oncology 87
- Cancer Research 46
- Endocrinology, Diabetes and Metabolism 43
Countries citing papers authored by Zhaofei Wan
This map shows the geographic impact of Zhaofei Wan'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 Zhaofei Wan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaofei Wan more than expected).
Fields of papers citing papers by Zhaofei Wan
This network shows the impact of papers produced by Zhaofei Wan. 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 Zhaofei Wan. The network helps show where Zhaofei Wan may publish in the future.
Co-authors
The 25 scholars most cited alongside Zhaofei Wan, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 74 | |
| 2 | 2015 | 36 | |
| 3 | 2015 | 36 | |
| 4 | 2014 | 34 | |
| 5 | 2021 | 33 | |
| 6 | 2016 | 31 | |
| 7 | 2016 | 29 | |
| 8 | 2017 | 27 | |
| 9 | 2013 | 26 | |
| 10 | 2015 | 24 | |
| 11 | 2018 | 18 | |
| 12 | 2016 | 17 | |
| 13 | 2015 | 17 | |
| 14 | 2020 | 15 | |
| 15 | 2022 | 12 | |
| 16 | 2019 | 11 | |
| 17 | 2017 | 8 | |
| 18 | 2015 | 7 | |
| 19 | 2022 | 7 | |
| 20 | 2015 | 6 |
About Zhaofei Wan
Zhaofei Wan is a scholar working on Oncology, Cardiology and Cardiovascular Medicine, Surgery, Molecular Biology and Epidemiology, having authored 25 papers that have together received 484 indexed citations. Recurring topics across this work include Inflammatory Biomarkers in Disease Prognosis (5 papers), Sodium Intake and Health (3 papers), Acute Myocardial Infarction Research (3 papers), Adipokines, Inflammation, and Metabolic Diseases (3 papers), Cardiac electrophysiology and arrhythmias (2 papers), Coronary Interventions and Diagnostics (2 papers), Antiplatelet Therapy and Cardiovascular Diseases (2 papers) and PARP inhibition in cancer therapy (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (142 citations), Internal Medicine (20 citations), Oncology (87 citations), Cancer Research (46 citations) and Endocrinology, Diabetes and Metabolism (43 citations). Zhaofei Wan has collaborated with scholars based in China and Taiwan. Frequent co-authors include Zuyi Yuan, Dong Zhou, Xinhong Wang, Juan Zhou, Jiahong Xue, Xiaojun Liu, Zhenhua Han, Yan Wu, Xiaojun Liu and Wei Jiang. Their work appears in journals such as Cardiology, British Journal Of Nutrition, Chemico-Biological Interactions, International Immunopharmacology and Platelets.
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.