Xiao-Xin Yan
Impact in
- Developmental Neuroscience top 10%
- Neurogenesis and neuroplasticity mechanisms
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- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 7
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- Alzheimer's disease research and treatments 7
- Co-authors
- Charles E. Ribak (4 shared papers)Tallie Z. Baram (1 shared paper)Zsolt Tóth (1 shared paper)Huaibin Cai (7 shared papers)Yan Cai (5 shared papers)Peter R. Patrylo (4 shared papers)Robert G. Struble (2 shared papers)Gregory M. Rose (3 shared papers)
- Journals
- Experimental Brain Research (2 papers)Neurotoxicity Research (2 papers)Journal of Neuroscience (2 papers)Journal of Alzheimer s Disease (1 paper)Experimental Neurology (1 paper)
- Partner nations
- United StatesChinaAustralia
In The Last Decade
Xiao-Xin Yan
14 papers receiving 571 citations
Peers
Comparison fields: 5 of 68
- Developmental Neuroscience 66
- Cellular and Molecular Neuroscience 294
- Psychiatry and Mental health 183
- Neurology 72
- Physiology 203
Countries citing papers authored by Xiao-Xin Yan
This map shows the geographic impact of Xiao-Xin Yan'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 Xiao-Xin Yan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiao-Xin Yan more than expected).
Fields of papers citing papers by Xiao-Xin Yan
This network shows the impact of papers produced by Xiao-Xin Yan. 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 Xiao-Xin Yan. The network helps show where Xiao-Xin Yan may publish in the future.
Co-authors
The 25 scholars most cited alongside Xiao-Xin Yan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1998 | 245 | |
| 2 | 2007 | 68 | |
| 3 | 2012 | 58 | |
| 4 | 2011 | 41 | |
| 5 | 2004 | 35 | |
| 6 | 1998 | 29 | |
| 7 | 2012 | 25 | |
| 8 | 2001 | 24 | |
| 9 | 2013 | 22 | |
| 10 | 2012 | 14 | |
| 11 | 2015 | 13 | |
| 12 | 1997 | 7 | |
| 13 | 2024 | 3 | |
| 14 | 2025 | 2 |
About Xiao-Xin Yan
Xiao-Xin Yan is a scholar working on Cellular and Molecular Neuroscience, Physiology, Molecular Biology, Pharmacology and Computational Theory and Mathematics, having authored 14 papers that have together received 586 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Cholinesterase and Neurodegenerative Diseases (3 papers), Computational Drug Discovery Methods (3 papers), Neurogenesis and neuroplasticity mechanisms (2 papers), Epilepsy research and treatment (2 papers), Bone and Joint Diseases (1 paper) and Ion channel regulation and function (1 paper). The work is most often cited by research in Developmental Neuroscience (66 citations), Cellular and Molecular Neuroscience (294 citations), Psychiatry and Mental health (183 citations), Neurology (72 citations) and Physiology (203 citations). Xiao-Xin Yan has collaborated with scholars based in United States, China and Australia. Frequent co-authors include Charles E. Ribak, Tallie Z. Baram, Zsolt Tóth, Huaibin Cai, Yan Cai, Peter R. Patrylo, Robert G. Struble, Gregory M. Rose, Kun Xiong and Richard W. Clough. Their work appears in journals such as Experimental Brain Research, Neurotoxicity Research, Journal of Neuroscience, Journal of Alzheimer s Disease and Experimental Neurology.
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.