Xiang Mou
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Cognitive Neuroscience top 10%
- EEG and Brain-Computer Interfaces
- Memory and Neural Mechanisms
Papers in
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- Neuroscience and Neuropharmacology Research 5
-
- Memory and Neural Mechanisms 7
- Co-authors
- Hua Yuan (14 shared papers)Daoyun Ji (6 shared papers)Xiaolong Sun (9 shared papers)Wei Sun (8 shared papers)Chenguang Zhao (5 shared papers)Rebecca A. Prosser (2 shared papers)Chenguang Zhao (7 shared papers)Cynthia B. Peterson (1 shared paper)
- Journals
- Restorative Neurology and Neuroscience (2 papers)Environmental Toxicology and Pharmacology (2 papers)eLife (2 papers)Frontiers in Cellular Neuroscience (2 papers)BMC Physiology (1 paper)
- Partner nations
- ChinaUnited StatesHong Kong
In The Last Decade
Xiang Mou
28 papers receiving 446 citations
Peers
Comparison fields: 5 of 76
- Neurology 123
- Cognitive Neuroscience 142
- Anesthesiology and Pain Medicine 33
- Rehabilitation 40
- Cellular and Molecular Neuroscience 105
Countries citing papers authored by Xiang Mou
This map shows the geographic impact of Xiang Mou'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 Xiang Mou with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiang Mou more than expected).
Fields of papers citing papers by Xiang Mou
This network shows the impact of papers produced by Xiang Mou. 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 Xiang Mou. The network helps show where Xiang Mou may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiang Mou, 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 54 | |
| 2 | 2019 | 53 | |
| 3 | 2019 | 39 | |
| 4 | 2019 | 38 | |
| 5 | 2009 | 30 | |
| 6 | 2022 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2009 | 23 | |
| 9 | 2018 | 20 | |
| 10 | 2016 | 19 | |
| 11 | 2018 | 16 | |
| 12 | 2021 | 15 | |
| 13 | 2021 | 13 | |
| 14 | 2020 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2022 | 11 | |
| 17 | 2018 | 10 | |
| 18 | 2021 | 10 | |
| 19 | 2021 | 7 | |
| 20 | 2013 | 5 |
About Xiang Mou
Xiang Mou is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience, Neurology, Endocrine and Autonomic Systems and Rehabilitation, having authored 29 papers that have together received 455 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (7 papers), Memory and Neural Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (5 papers), Circadian rhythm and melatonin (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers), Stroke Rehabilitation and Recovery (3 papers), Spaceflight effects on biology (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Neurology (123 citations), Cognitive Neuroscience (142 citations), Anesthesiology and Pain Medicine (33 citations), Rehabilitation (40 citations) and Cellular and Molecular Neuroscience (105 citations). Xiang Mou has collaborated with scholars based in China, United States and Hong Kong. Frequent co-authors include Hua Yuan, Daoyun Ji, Xiaolong Sun, Wei Sun, Chenguang Zhao, Rebecca A. Prosser, Chenguang Zhao, Cynthia B. Peterson, Hong Wang and Ning Jiang. Their work appears in journals such as Restorative Neurology and Neuroscience, Environmental Toxicology and Pharmacology, eLife, Frontiers in Cellular Neuroscience and BMC Physiology.
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.