Yunfu Wang
Impact in
- Neurology top 10%
- Neuroinflammation and Neurodegeneration Mechanisms
- Modeling and Simulation top 5%
- COVID-19 epidemiological studies
Papers in
-
- RNA regulation and disease 4
- Ion channel regulation and function 4
- Mitochondrial Function and Pathology 3
-
- Neuroinflammation and Neurodegeneration Mechanisms 6
- Co-authors
- Jian Wu (1 shared paper)Qun Wang (1 shared paper)Qian Zhang (1 shared paper)Shi Chen (8 shared papers)Lianrong Wang (6 shared papers)Zixin Deng (4 shared papers)Yuan Jiang (5 shared papers)Md Rezaul Karim (4 shared papers)
- Journals
- Medicinal Research Reviews (3 papers)Scientific Reports (2 papers)Pharmaceuticals (2 papers)Journal of Molecular Neuroscience (2 papers)Current Neuropharmacology (2 papers)
- Partner nations
- ChinaUnited StatesAustralia
In The Last Decade
Yunfu Wang
50 papers receiving 939 citations
Hit Papers
Peers
Comparison fields: 5 of 149
- Neurology 98
- Modeling and Simulation 53
- Biological Psychiatry 21
- Developmental Neuroscience 29
- Neurology 88
Countries citing papers authored by Yunfu Wang
This map shows the geographic impact of Yunfu Wang'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 Yunfu Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yunfu Wang more than expected).
Fields of papers citing papers by Yunfu Wang
This network shows the impact of papers produced by Yunfu Wang. 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 Yunfu Wang. The network helps show where Yunfu Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yunfu Wang, 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 53 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Cell Death Mechanisms in Cerebral Ischemia–Reperfusion Injury Hit paper breakdown → | 2022 | 164 |
| 2 | 2019 | 66 | |
| 3 | 2022 | 62 | |
| 4 | 2017 | 59 | |
| 5 | 2020 | 59 | |
| 6 | 2022 | 37 | |
| 7 | 2023 | 33 | |
| 8 | 2021 | 32 | |
| 9 | 2023 | 22 | |
| 10 | 2021 | 22 | |
| 11 | 2022 | 22 | |
| 12 | 2022 | 22 | |
| 13 | 2016 | 21 | |
| 14 | 2022 | 20 | |
| 15 | 2017 | 19 | |
| 16 | 2017 | 19 | |
| 17 | 2016 | 18 | |
| 18 | 2004 | 18 | |
| 19 | 2016 | 17 | |
| 20 | 2022 | 17 |
About Yunfu Wang
Yunfu Wang is a scholar working on Molecular Biology, Neurology, Neurology, Immunology and Infectious Diseases, having authored 53 papers that have together received 954 indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (6 papers), Immunotherapy and Immune Responses (5 papers), RNA regulation and disease (4 papers), Ion channel regulation and function (4 papers), Structural Integrity and Reliability Analysis (3 papers), Cardiac electrophysiology and arrhythmias (3 papers), Mitochondrial Function and Pathology (3 papers) and Autophagy in Disease and Therapy (3 papers). The work is most often cited by research in Neurology (98 citations), Modeling and Simulation (53 citations), Biological Psychiatry (21 citations), Developmental Neuroscience (29 citations) and Neurology (88 citations). Yunfu Wang has collaborated with scholars based in China, United States and Australia. Frequent co-authors include Jian Wu, Qun Wang, Qian Zhang, Shi Chen, Lianrong Wang, Zixin Deng, Yuan Jiang, Md Rezaul Karim, Lei Xu and Qun Wang. Their work appears in journals such as Medicinal Research Reviews, Scientific Reports, Pharmaceuticals, Journal of Molecular Neuroscience and Current Neuropharmacology.
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.