Jinyoung Won
Impact in
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- Circadian rhythm and melatonin
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Alzheimer's disease research and treatments 4
- Co-authors
- Yonggeun Hong (20 shared papers)Yunkyung Hong (8 shared papers)Seung‐Hoon Lee (8 shared papers)Kyu‐Tae Chang (7 shared papers)Youngjeon Lee (15 shared papers)Jeong‐Hyun Choi (6 shared papers)Yunho Jin (5 shared papers)Kanghui Park (2 shared papers)
- Journals
- The FASEB Journal (5 papers)Experimental Neurobiology (2 papers)International Journal of Molecular Sciences (2 papers)eNeuro (1 paper)Applied Animal Behaviour Science (1 paper)
- Partner nations
- South KoreaUnited StatesGermany
In The Last Decade
Jinyoung Won
32 papers receiving 513 citations
Peers
Comparison fields: 5 of 96
- Endocrine and Autonomic Systems 115
- Biological Psychiatry 34
- Medical Laboratory Technology 7
- Neurology 38
- Cognitive Neuroscience 82
Countries citing papers authored by Jinyoung Won
This map shows the geographic impact of Jinyoung Won'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 Jinyoung Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jinyoung Won more than expected).
Fields of papers citing papers by Jinyoung Won
This network shows the impact of papers produced by Jinyoung Won. 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 Jinyoung Won. The network helps show where Jinyoung Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Jinyoung Won, 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 33 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 115 | |
| 2 | 2018 | 106 | |
| 3 | 2015 | 75 | |
| 4 | 2018 | 36 | |
| 5 | 2014 | 33 | |
| 6 | 2020 | 33 | |
| 7 | 2025 | 18 | |
| 8 | 2017 | 14 | |
| 9 | 2020 | 13 | |
| 10 | 2015 | 9 | |
| 11 | 2024 | 8 | |
| 12 | 2024 | 8 | |
| 13 | 2023 | 8 | |
| 14 | 2019 | 7 | |
| 15 | 2018 | 6 | |
| 16 | 2015 | 6 | |
| 17 | 2023 | 4 | |
| 18 | 2020 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2022 | 3 |
About Jinyoung Won
Jinyoung Won is a scholar working on Physiology, Molecular Biology, Cellular and Molecular Neuroscience, Cognitive Neuroscience and Endocrine and Autonomic Systems, having authored 33 papers that have together received 527 indexed citations. Recurring topics across this work include Autism Spectrum Disorder Research (5 papers), Circadian rhythm and melatonin (5 papers), Child Development and Digital Technology (4 papers), Alzheimer's disease research and treatments (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Neuroinflammation and Neurodegeneration Mechanisms (4 papers), Neurogenesis and neuroplasticity mechanisms (3 papers) and Nerve injury and regeneration (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (115 citations), Biological Psychiatry (34 citations), Medical Laboratory Technology (7 citations), Neurology (38 citations) and Cognitive Neuroscience (82 citations). Jinyoung Won has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Yonggeun Hong, Yunkyung Hong, Seung‐Hoon Lee, Kyu‐Tae Chang, Youngjeon Lee, Jeong‐Hyun Choi, Yunho Jin, Kanghui Park, Joo‐Heon Kim and Tai‐Young Hur. Their work appears in journals such as The FASEB Journal, Experimental Neurobiology, International Journal of Molecular Sciences, eNeuro and Applied Animal Behaviour Science.
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.