Ran Won
Impact in
- Behavioral Neuroscience top 10%
- Stress Responses and Cortisol
- Biological Psychiatry top 10%
- Tryptophan and brain disorders
Papers in
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- Medicinal Plants and Neuroprotection 5
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- Healthcare and Venom Research 3
- Co-authors
- Bae Hwan Lee (15 shared papers)Eun Joo Baik (2 shared papers)Soo‐Hwan Lee (1 shared paper)Kyong Nyon Nam (1 shared paper)Eunjoo H. Lee (1 shared paper)Chulhun Kang (1 shared paper)Sujin Yun (1 shared paper)Hong K. Kim (1 shared paper)
- Journals
- Evidence-based Complementary and Alternative Medicine (3 papers)Neuroreport (2 papers)Biological and Pharmaceutical Bulletin (1 paper)Neural Plasticity (1 paper)Life Sciences (1 paper)
- Partner nations
- South KoreaUnited StatesSingapore
In The Last Decade
Ran Won
37 papers receiving 712 citations
Peers
Comparison fields: 5 of 99
- Behavioral Neuroscience 57
- Biological Psychiatry 35
- Developmental Neuroscience 51
- Physiology 237
- Cellular and Molecular Neuroscience 147
Countries citing papers authored by Ran Won
This map shows the geographic impact of Ran 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 Ran Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ran Won more than expected).
Fields of papers citing papers by Ran Won
This network shows the impact of papers produced by Ran 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 Ran Won. The network helps show where Ran Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Ran 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 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 147 | |
| 2 | 2009 | 133 | |
| 3 | 2005 | 131 | |
| 4 | 2005 | 41 | |
| 5 | 2007 | 32 | |
| 6 | 2000 | 24 | |
| 7 | 2018 | 20 | |
| 8 | 2010 | 18 | |
| 9 | 2018 | 18 | |
| 10 | 2005 | 18 | |
| 11 | 2011 | 14 | |
| 12 | 2019 | 14 | |
| 13 | 2012 | 13 | |
| 14 | 2010 | 12 | |
| 15 | 2013 | 11 | |
| 16 | 2009 | 10 | |
| 17 | 2018 | 9 | |
| 18 | 2004 | 8 | |
| 19 | 2020 | 7 | |
| 20 | 2019 | 6 |
About Ran Won
Ran Won is a scholar working on Complementary and alternative medicine, Pharmacology, Developmental Neuroscience, Cellular and Molecular Neuroscience and Physiology, having authored 41 papers that have together received 734 indexed citations. Recurring topics across this work include Pain Mechanisms and Treatments (8 papers), Medicinal Plants and Neuroprotection (5 papers), Neuroscience and Neuropharmacology Research (4 papers), Invertebrate Immune Response Mechanisms (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Healthcare and Venom Research (3 papers), Insect Utilization and Effects (3 papers) and Anesthesia and Pain Management (3 papers). The work is most often cited by research in Behavioral Neuroscience (57 citations), Biological Psychiatry (35 citations), Developmental Neuroscience (51 citations), Physiology (237 citations) and Cellular and Molecular Neuroscience (147 citations). Ran Won has collaborated with scholars based in South Korea, United States and Singapore. Frequent co-authors include Bae Hwan Lee, Eun Joo Baik, Soo‐Hwan Lee, Kyong Nyon Nam, Eunjoo H. Lee, Chulhun Kang, Sujin Yun, Hong K. Kim, Myoung‐Hwa Lee and Chang‐Ju Kim. Their work appears in journals such as Evidence-based Complementary and Alternative Medicine, Neuroreport, Biological and Pharmaceutical Bulletin, Neural Plasticity and Life Sciences.
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.