Yun Wang
Impact in
- Cellular and Molecular Neuroscience top 0.5%
- Neuroscience and Neuropharmacology Research
- Neuropeptides and Animal Physiology
- Developmental Neuroscience top 1%
- Neurogenesis and neuroplasticity mechanisms
Papers in
-
- Ion channel regulation and function 32
- Receptor Mechanisms and Signaling 13
- Nicotinic Acetylcholine Receptors Study 11
-
- Neuroscience and Neuropharmacology Research 55
- Neuropeptides and Animal Physiology 9
- Co-authors
- Henry Markram (2 shared papers)Maria Toledo‐Rodriguez (2 shared papers)Gilad Silberberg (1 shared paper)Caizhi Wu (1 shared paper)Anirudh Gupta (1 shared paper)Junyi Luo (1 shared paper)Longzhen Cheng (7 shared papers)Ji‐Sheng Han (3 shared papers)
- Journals
- PLoS ONE (5 papers)Neuroscience Bulletin (5 papers)Brain Research (4 papers)CNS & Neurological Disorders - Drug Targets (4 papers)Journal of Neuroscience (4 papers)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Yun Wang
236 papers receiving 6.6k citations
Peers
Comparison fields: 5 of 165
- Cellular and Molecular Neuroscience 2.2k
- Developmental Neuroscience 385
- Neurology 531
- Physiology 1.2k
- Cognitive Neuroscience 825
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-authors
The 25 scholars most cited alongside Yun 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 246 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 426 | |
| 2 | 2004 | 365 | |
| 3 | 2018 | 237 | |
| 4 | 1998 | 185 | |
| 5 | 2017 | 156 | |
| 6 | 2007 | 150 | |
| 7 | 2009 | 146 | |
| 8 | 2006 | 141 | |
| 9 | 1999 | 133 | |
| 10 | 1994 | 124 | |
| 11 | 2020 | 121 | |
| 12 | 2003 | 118 | |
| 13 | 2009 | 113 | |
| 14 | 2011 | 102 | |
| 15 | 2009 | 99 | |
| 16 | 2013 | 97 | |
| 17 | 2011 | 97 | |
| 18 | 2022 | 91 | |
| 19 | 2008 | 89 | |
| 20 | 2006 | 88 |
About Yun Wang
Yun Wang is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Physiology, Oncology and Endocrine and Autonomic Systems, having authored 246 papers that have together received 6.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (55 papers), Ion channel regulation and function (32 papers), Receptor Mechanisms and Signaling (13 papers), Pain Mechanisms and Treatments (12 papers), Nicotinic Acetylcholine Receptors Study (11 papers), Neuroscience of respiration and sleep (10 papers), Neuropeptides and Animal Physiology (9 papers) and Neural dynamics and brain function (9 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (2.2k citations), Developmental Neuroscience (385 citations), Neurology (531 citations), Physiology (1.2k citations) and Cognitive Neuroscience (825 citations). Yun Wang has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Henry Markram, Maria Toledo‐Rodriguez, Gilad Silberberg, Caizhi Wu, Anirudh Gupta, Junyi Luo, Longzhen Cheng, Ji‐Sheng Han, Bo Duan and Bradford B. Lowell. Their work appears in journals such as PLoS ONE, Neuroscience Bulletin, Brain Research, CNS & Neurological Disorders - Drug Targets and Journal of Neuroscience.
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.