Yun Wang
- Molecular Biology top 2%
- Cellular and Molecular Neuroscience top 0.5%
- Physiology top 1%
- Cognitive Neuroscience top 2%
- Neurology top 1%
- Co-authors
- Maria Toledo‐RodriguezHenry MarkramJunyi LuoCaizhi WuGilad SilberbergAnirudh GuptaLongzhen ChengJi‐Sheng Han
- Topics
- Neuroscience and Neuropharmacology Research (65 papers)Ion channel regulation and function (36 papers)Receptor Mechanisms and Signaling (17 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yun Wang
232 papers receiving 6.4k citations
Hit Papers
Peers
Comparison fields: 5 of 170
- Molecular Biology 2.6k
- Cellular and Molecular Neuroscience 2.2k
- Physiology 1.3k
- Cognitive Neuroscience 849
- Neurology 565
Countries citing papers authored by Yun Wang
This map shows the geographic impact of Yun 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 Yun Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun Wang more than expected).
Fields of papers citing papers by Yun Wang
This network shows the impact of papers produced by Yun 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 Yun Wang. The network helps show where Yun Wang may publish in the future.
Co-authorship network of co-authors of Yun Wang
This figure shows the co-authorship network connecting the top 25 collaborators of Yun Wang. A scholar is included among the top collaborators of Yun Wang based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yun Wang. Yun Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 7 | |
| 4 | 9 | |
| 5 | 12 | |
| 6 | 9 | |
| 7 | 8 | |
| 8 | 14 | |
| 9 | 83 | |
| 10 | 6 | |
| 11 | 12 | |
| 12 | 7 | |
| 13 | 21 | |
| 14 | 1 | |
| 15 | 2 | |
| 16 | 2 | |
| 17 | 149 | |
| 18 | 14 | |
| 19 | The effect of alendronate on bone biochemical indicator of Type 2 DM postmenopausal women with lower BMD | 1 |
| 20 | The large conductance calcium- and voltage-activated potassium channel (BK) and epilepsy: a short review | 3 |
About Yun Wang
Yun Wang is a scholar working on Cellular and Molecular Neuroscience, Developmental Neuroscience and Endocrine and Autonomic Systems, having authored 244 papers that have together received 6.5k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (65 papers), Ion channel regulation and function (36 papers) and Receptor Mechanisms and Signaling (17 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Developmental Neuroscience (403 citations) and Neurology (565 citations). Yun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Maria Toledo‐Rodriguez, Henry Markram, Junyi Luo, Caizhi Wu, Gilad Silberberg, Anirudh Gupta, Longzhen Cheng, Ji‐Sheng Han, Martyn Goulding and Olivier Britz. Their work appears in journals such as Cell, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.
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.