Yan Xiao
Impact in
- Developmental Neuroscience top 5%
- Neurology top 5%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Nicotinic Acetylcholine Receptors Study 9
-
- Nanocluster Synthesis and Applications 13
- Advanced Nanomaterials in Catalysis 11
- Carbon and Quantum Dots Applications 7
- Co-authors
- Jianping Xie (1 shared paper)Qiaofeng Yao (1 shared paper)Zhennan Wu (1 shared paper)Zhihong Liu (6 shared papers)Tim Czopka (4 shared papers)Xiaolan Qi (16 shared papers)Zhengjun Wu (3 shared papers)Shengfu Wang (7 shared papers)
In The Last Decade
Yan Xiao
64 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 109
- Developmental Neuroscience 112
- Neurology 149
- Biological Psychiatry 43
- Materials Chemistry 534
- Electronic, Optical and Magnetic Materials 188
Countries citing papers authored by Yan Xiao
This map shows the geographic impact of Yan Xiao'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 Yan Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yan Xiao more than expected).
Fields of papers citing papers by Yan Xiao
This network shows the impact of papers produced by Yan Xiao. 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 Yan Xiao. The network helps show where Yan Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Yan Xiao, 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 67 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 209 | |
| 2 | 2017 | 108 | |
| 3 | 2015 | 83 | |
| 4 | 2018 | 57 | |
| 5 | 2022 | 55 | |
| 6 | 2014 | 43 | |
| 7 | 2005 | 39 | |
| 8 | 2023 | 38 | |
| 9 | 2018 | 38 | |
| 10 | 2019 | 38 | |
| 11 | 2015 | 35 | |
| 12 | 2010 | 34 | |
| 13 | 2018 | 31 | |
| 14 | 2011 | 29 | |
| 15 | 2023 | 28 | |
| 16 | 2017 | 27 | |
| 17 | 2024 | 26 | |
| 18 | 2018 | 25 | |
| 19 | 2024 | 23 | |
| 20 | 2023 | 23 |
About Yan Xiao
Yan Xiao is a scholar working on Molecular Biology, Materials Chemistry, Pharmacology, Neurology and Physiology, having authored 67 papers that have together received 1.4k indexed citations. Recurring topics across this work include Nanocluster Synthesis and Applications (13 papers), Advanced Nanomaterials in Catalysis (11 papers), Cholinesterase and Neurodegenerative Diseases (9 papers), Nicotinic Acetylcholine Receptors Study (9 papers), Alzheimer's disease research and treatments (8 papers), Carbon and Quantum Dots Applications (7 papers), Plant Virus Research Studies (6 papers) and Gold and Silver Nanoparticles Synthesis and Applications (5 papers). The work is most often cited by research in Developmental Neuroscience (112 citations), Neurology (149 citations), Biological Psychiatry (43 citations), Materials Chemistry (534 citations) and Electronic, Optical and Magnetic Materials (188 citations). Yan Xiao has collaborated with scholars based in China, Germany and Sweden. Frequent co-authors include Jianping Xie, Qiaofeng Yao, Zhennan Wu, Zhihong Liu, Tim Czopka, Xiaolan Qi, Zhengjun Wu, Shengfu Wang, Xun Zhang and Wenfeng Yu. Their work appears in journals such as The Analyst, Journal of Alzheimer s Disease, Talanta, Chemical Communications and Cell Reports.
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.