Xu An
Impact in
- Cognitive Neuroscience top 10%
- Neural dynamics and brain function
- Visual perception and processing mechanisms
- Memory and Neural Mechanisms
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- Neuroscience and Neuropharmacology Research
- Neurobiology and Insect Physiology Research
- Photoreceptor and optogenetics research
Papers in
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- Neural dynamics and brain function 11
- Visual perception and processing mechanisms 7
- Memory and Neural Mechanisms 2
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- Retinal Development and Disorders 6
- Co-authors
- Hongliang Gong (5 shared papers)Z. Josh Huang (4 shared papers)Yupeng Yang (6 shared papers)Wei Wang (4 shared papers)Xian Zhang (4 shared papers)Yanxia Pan (3 shared papers)Yiliang Lu (3 shared papers)Bor‐Shuen Wang (3 shared papers)
- Journals
- Nature Neuroscience (3 papers)Journal of Neuroscience (2 papers)PLoS ONE (2 papers)iScience (1 paper)Scientific Reports (1 paper)
- Partner nations
- ChinaUnited StatesUnited Kingdom
In The Last Decade
Xu An
21 papers receiving 456 citations
Peers
Comparison fields: 5 of 83
- Cognitive Neuroscience 241
- Cellular and Molecular Neuroscience 156
- Behavioral Neuroscience 17
- Developmental Neuroscience 16
- Sensory Systems 17
Countries citing papers authored by Xu An
This map shows the geographic impact of Xu An'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 Xu An with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xu An more than expected).
Fields of papers citing papers by Xu An
This network shows the impact of papers produced by Xu An. 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 Xu An. The network helps show where Xu An may publish in the future.
Co-authors
The 25 scholars most cited alongside Xu An, 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 23 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 68 | |
| 2 | 2022 | 66 | |
| 3 | 2012 | 56 | |
| 4 | 2012 | 37 | |
| 5 | 2014 | 32 | |
| 6 | 2023 | 29 | |
| 7 | 2020 | 21 | |
| 8 | 2014 | 20 | |
| 9 | 2014 | 18 | |
| 10 | 2015 | 17 | |
| 11 | 2015 | 15 | |
| 12 | 2014 | 15 | |
| 13 | 2015 | 15 | |
| 14 | 2021 | 14 | |
| 15 | 2023 | 13 | |
| 16 | 2016 | 12 | |
| 17 | 2023 | 5 | |
| 18 | 2024 | 3 | |
| 19 | 2025 | 2 | |
| 20 | 2013 | 2 |
About Xu An
Xu An is a scholar working on Cognitive Neuroscience, Molecular Biology, Cellular and Molecular Neuroscience, Social Psychology and Physiology, having authored 23 papers that have together received 461 indexed citations. Recurring topics across this work include Neural dynamics and brain function (11 papers), Visual perception and processing mechanisms (7 papers), Retinal Development and Disorders (6 papers), Neuroscience and Neuropharmacology Research (5 papers), Photoreceptor and optogenetics research (5 papers), Color perception and design (3 papers), Memory and Neural Mechanisms (2 papers) and Pancreatic function and diabetes (1 paper). The work is most often cited by research in Cognitive Neuroscience (241 citations), Cellular and Molecular Neuroscience (156 citations), Behavioral Neuroscience (17 citations), Developmental Neuroscience (16 citations) and Sensory Systems (17 citations). Xu An has collaborated with scholars based in China, United States and United Kingdom. Frequent co-authors include Hongliang Gong, Z. Josh Huang, Yupeng Yang, Wei Wang, Xian Zhang, Yanxia Pan, Yiliang Lu, Bor‐Shuen Wang, Jin Tan and Miao He. Their work appears in journals such as Nature Neuroscience, Journal of Neuroscience, PLoS ONE, iScience and Scientific 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.