Kevin S. Chen
- Developmental Neuroscience top 5%
- Neurogenesis and neuroplasticity mechanisms 6
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 5
- Genetics top 10%
- Neurogenetic and Muscular Disorders Research 3
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- Cerebrospinal fluid and hydrocephalus 3
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 5
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- Pluripotent Stem Cells Research 5
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- Alzheimer's disease research and treatments 4
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- Spine and Intervertebral Disc Pathology 3
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- Neural dynamics and brain function 3
- Co-authors
- Eva L. FeldmanStacey A. SakowskiStephen A. GoutmanLisa M. McGinleyRaymond S. PriceOsama N. KashlanBrian C. CallaghanKarl Johe
- Journals
- Proceedings of the National Academy of Sciences (1 paper)JAMA (1 paper)Angewandte Chemie International Edition (1 paper)
- Partner nations
- United StatesTaiwanCanada
In The Last Decade
Kevin S. Chen
39 papers receiving 710 citations
Peers
Comparison fields: 5 of 108
- Developmental Neuroscience 125
- Neurology 185
- Genetics 113
- Cellular and Molecular Neuroscience 162
- Neurology 71
Countries citing papers authored by Kevin S. Chen
This map shows the geographic impact of Kevin S. Chen'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 Kevin S. Chen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kevin S. Chen more than expected).
Fields of papers citing papers by Kevin S. Chen
This network shows the impact of papers produced by Kevin S. Chen. 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 Kevin S. Chen. The network helps show where Kevin S. Chen may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kevin S. Chen, 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 | 2024 | 26 | |
| 3 | 2024 | 18 | |
| 4 | 2023 | 7 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 1 | |
| 7 | 2021 | 15 | |
| 8 | 2021 | 6 | |
| 9 | 2020 | 15 | |
| 10 | 2019 | 12 | |
| 11 | 2018 | 94 | |
| 12 | 2017 | 6 | |
| 13 | 2016 | 66 | |
| 14 | 2016 | 6 | |
| 15 | 2015 | 7 | |
| 16 | 2015 | 36 | |
| 17 | 2015 | 17 | |
| 18 | 2015 | 8 | |
| 19 | 2013 | 3 | |
| 20 | 2012 | 15 |
About Kevin S. Chen
Kevin S. Chen is a scholar working on Developmental Neuroscience, Microbiology and Neurology, having authored 40 papers that have together received 727 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (6 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Pluripotent Stem Cells Research (5 papers), Alzheimer's disease research and treatments (4 papers), Spine and Intervertebral Disc Pathology (3 papers), Neural dynamics and brain function (3 papers), Neurogenetic and Muscular Disorders Research (3 papers) and Cerebrospinal fluid and hydrocephalus (3 papers). The work is most often cited by research in Developmental Neuroscience (125 citations), Neurology (185 citations) and Genetics (113 citations). Kevin S. Chen has collaborated with scholars based in United States, Taiwan and Canada. Frequent co-authors include Eva L. Feldman, Stacey A. Sakowski, Stephen A. Goutman, Lisa M. McGinley, Raymond S. Price, Osama N. Kashlan, Brian C. Callaghan, Karl Johe, Elizabeth Bruno and Paul Park. Their work appears in journals such as Proceedings of the National Academy of Sciences, JAMA and Angewandte Chemie International Edition.
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.