Yun‐An Shen
- Developmental Neuroscience top 0.5%
- Neurogenesis and neuroplasticity mechanisms 9
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms 7
- Peripheral Neuropathies and Disorders 3
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- Multiple Sclerosis Research Studies 5
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- Nerve injury and regeneration 3
- Axon Guidance and Neuronal Signaling 3
- Biological Psychiatry top 10%
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- Chronic Lymphocytic Leukemia Research 2
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- Polyomavirus and related diseases 2
- Co-authors
- Jonah R. ChanFeng MeiLan XiaoStephen P.J. FancyAri GreenSonia R. MayoralAinhoa EtxeberríaStephanie Redmond
- Partner nations
- United StatesUnited KingdomSwitzerland
In The Last Decade
Yun‐An Shen
17 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 74
- Developmental Neuroscience 695
- Neurology 477
- Pathology and Forensic Medicine 299
- Cellular and Molecular Neuroscience 283
- Biological Psychiatry 31
Countries citing papers authored by Yun‐An Shen
This map shows the geographic impact of Yun‐An Shen'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 Yun‐An Shen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yun‐An Shen more than expected).
Fields of papers citing papers by Yun‐An Shen
This network shows the impact of papers produced by Yun‐An Shen. 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 Yun‐An Shen. The network helps show where Yun‐An Shen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Yun‐An Shen, 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 | 2025 | 0 | |
| 2 | 2025 | 1 | |
| 3 | 2025 | 2 | |
| 4 | 2024 | 2 | |
| 5 | 2024 | 5 | |
| 6 | 2024 | 1 | |
| 7 | 2024 | 5 | |
| 8 | 2023 | 30 | |
| 9 | 2022 | 95 | |
| 10 | 2021 | 80 | |
| 11 | 2019 | 52 | |
| 12 | 2018 | 47 | |
| 13 | 2018 | 1 | |
| 14 | 2017 | 92 | |
| 15 | 2016 | 226 | |
| 16 | 2016 | 74 | |
| 17 | 2015 | 28 | |
| 18 | Micropillar arrays as a high-throughput screening platform for therapeutics in multiple sclerosisbreakdown → | 2014 | 432 |
| 19 | 2011 | 57 |
About Yun‐An Shen
Yun‐An Shen is a scholar working on Developmental Neuroscience, Neurology and Pathology and Forensic Medicine, having authored 19 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (9 papers), Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Multiple Sclerosis Research Studies (5 papers), Peripheral Neuropathies and Disorders (3 papers), Nerve injury and regeneration (3 papers), Axon Guidance and Neuronal Signaling (3 papers), Chronic Lymphocytic Leukemia Research (2 papers) and Polyomavirus and related diseases (2 papers). The work is most often cited by research in Developmental Neuroscience (695 citations), Neurology (477 citations) and Pathology and Forensic Medicine (299 citations). Yun‐An Shen has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Jonah R. Chan, Feng Mei, Lan Xiao, Stephen P.J. Fancy, Ari Green, Sonia R. Mayoral, Ainhoa Etxeberría, Stephanie Redmond, Jianqin Niu and Robin J.M. Franklin. Their work appears in journals such as Nature Medicine, Neuron and Journal of Neuroscience.
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.