Xiaoyi Wang
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Meningioma and schwannoma management 2
- Acute Ischemic Stroke Management 2
- Co-authors
- Lin Lü (1 shared paper)Yanqin Li (1 shared paper)Udi E. Ghitza (1 shared paper)Mei Zhao (1 shared paper)Hong Gao (1 shared paper)Zhaoguo Deng (2 shared papers)Haodong Chen (2 shared papers)Mei Song (1 shared paper)
- Journals
- Journal of Ethnopharmacology (2 papers)Frontiers in Pharmacology (2 papers)Journal of the American Heart Association (1 paper)Alcoholism Clinical and Experimental Research (1 paper)Cell (1 paper)
- Partner nations
- ChinaUnited StatesJapan
In The Last Decade
Xiaoyi Wang
42 papers receiving 644 citations
Peers
Comparison fields: 5 of 91
- Behavioral Neuroscience 61
- Cellular and Molecular Neuroscience 112
- Cognitive Neuroscience 88
- Biological Psychiatry 8
- Neurology 22
Countries citing papers authored by Xiaoyi Wang
This map shows the geographic impact of Xiaoyi 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 Xiaoyi Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyi Wang more than expected).
Fields of papers citing papers by Xiaoyi Wang
This network shows the impact of papers produced by Xiaoyi 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 Xiaoyi Wang. The network helps show where Xiaoyi Wang may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiaoyi 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 44 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 118 | |
| 2 | 2020 | 73 | |
| 3 | 2023 | 64 | |
| 4 | 2007 | 50 | |
| 5 | 2020 | 45 | |
| 6 | 2020 | 22 | |
| 7 | 2015 | 20 | |
| 8 | 2018 | 20 | |
| 9 | 2021 | 18 | |
| 10 | 2010 | 16 | |
| 11 | 2021 | 15 | |
| 12 | 2022 | 15 | |
| 13 | 2022 | 14 | |
| 14 | 2024 | 13 | |
| 15 | 2014 | 12 | |
| 16 | 2015 | 12 | |
| 17 | 2013 | 11 | |
| 18 | 2022 | 11 | |
| 19 | 2014 | 9 | |
| 20 | 2022 | 9 |
About Xiaoyi Wang
Xiaoyi Wang is a scholar working on Pathology and Forensic Medicine, Epidemiology, Hematology, Surgery and Neurology, having authored 44 papers that have together received 656 indexed citations. Recurring topics across this work include Plant Molecular Biology Research (2 papers), Meningioma and schwannoma management (2 papers), Acute Ischemic Stroke Management (2 papers), Photosynthetic Processes and Mechanisms (2 papers), Pituitary Gland Disorders and Treatments (2 papers), Barrier Structure and Function Studies (2 papers), Inflammatory Biomarkers in Disease Prognosis (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Behavioral Neuroscience (61 citations), Cellular and Molecular Neuroscience (112 citations), Cognitive Neuroscience (88 citations), Biological Psychiatry (8 citations) and Neurology (22 citations). Xiaoyi Wang has collaborated with scholars based in China, United States and Japan. Frequent co-authors include Lin Lü, Yanqin Li, Udi E. Ghitza, Mei Zhao, Hong Gao, Zhaoguo Deng, Haodong Chen, Mei Song, Lin Lü and Jiajun Wang. Their work appears in journals such as Journal of Ethnopharmacology, Frontiers in Pharmacology, Journal of the American Heart Association, Alcoholism Clinical and Experimental Research and Cell.
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.