Yayun Wang
Impact in
- Physiology top 5%
- Pain Mechanisms and Treatments
-
- Neuropeptides and Animal Physiology
- Neuroscience and Neuropharmacology Research
Papers in
-
- Mitochondrial Function and Pathology 8
- Ion channel regulation and function 6
- Physiology 27
- Pain Mechanisms and Treatments 20
- Co-authors
- Yun-Qing Li (16 shared papers)Shengxi Wu (14 shared papers)Yanling Yang (19 shared papers)Ying‐Hung Lin (12 shared papers)Xiaolong Ye (3 shared papers)Yibing Lu (3 shared papers)Dafa Ding (3 shared papers)Wen Wang (3 shared papers)
- Journals
- Tumor Biology (5 papers)The Anatomical Record (4 papers)Neuroscience (4 papers)Scientific Reports (3 papers)International Journal of Molecular Sciences (3 papers)
- Partner nations
- ChinaTaiwanUnited States
In The Last Decade
Yayun Wang
116 papers receiving 2.5k citations
Peers
Comparison fields: 5 of 164
- Physiology 609
- Cellular and Molecular Neuroscience 364
- Reproductive Medicine 136
- Biological Psychiatry 35
- Molecular Biology 895
Countries citing papers authored by Yayun Wang
This map shows the geographic impact of Yayun 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 Yayun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yayun Wang more than expected).
Fields of papers citing papers by Yayun Wang
This network shows the impact of papers produced by Yayun 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 Yayun Wang. The network helps show where Yayun Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Yayun 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 125 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 171 | |
| 2 | 2013 | 128 | |
| 3 | 2009 | 97 | |
| 4 | 2018 | 83 | |
| 5 | 2009 | 82 | |
| 6 | 2016 | 81 | |
| 7 | 2001 | 74 | |
| 8 | 2023 | 71 | |
| 9 | 2017 | 67 | |
| 10 | 2013 | 67 | |
| 11 | 2020 | 60 | |
| 12 | 2018 | 60 | |
| 13 | 2016 | 52 | |
| 14 | 2004 | 50 | |
| 15 | 2022 | 46 | |
| 16 | 2008 | 44 | |
| 17 | 2017 | 43 | |
| 18 | 2014 | 42 | |
| 19 | 2017 | 42 | |
| 20 | 2006 | 41 |
About Yayun Wang
Yayun Wang is a scholar working on Molecular Biology, Physiology, Cellular and Molecular Neuroscience, Epidemiology and Reproductive Medicine, having authored 125 papers that have together received 2.6k indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (20 papers), Neuropeptides and Animal Physiology (9 papers), Mitochondrial Function and Pathology (8 papers), Sperm and Testicular Function (8 papers), Reproductive Biology and Fertility (8 papers), Neuroscience and Neuropharmacology Research (7 papers), Ion channel regulation and function (6 papers) and Liver Disease Diagnosis and Treatment (5 papers). The work is most often cited by research in Physiology (609 citations), Cellular and Molecular Neuroscience (364 citations), Reproductive Medicine (136 citations), Biological Psychiatry (35 citations) and Molecular Biology (895 citations). Yayun Wang has collaborated with scholars based in China, Taiwan and United States. Frequent co-authors include Yun-Qing Li, Shengxi Wu, Yanling Yang, Ying‐Hung Lin, Xiaolong Ye, Yibing Lu, Dafa Ding, Wen Wang, Wei Wang and Zhongbin Chen. Their work appears in journals such as Tumor Biology, The Anatomical Record, Neuroscience, Scientific Reports and International Journal of Molecular Sciences.
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.