Won Kyung Jeon
- Neurology top 2%
- Neurological Disease Mechanisms and Treatments 23
- Neuroinflammation and Neurodegeneration Mechanisms 19
- Neurological Disorders and Treatments 8
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- Medicinal Plants and Neuroprotection 5
- Traditional Chinese Medicine Analysis 5
- Biochemistry top 5%
- Biological Psychiatry top 10%
- Pharmacology top 5%
- Flavonoids in Medical Research 5
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- Alzheimer's disease research and treatments 6
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- Natural Antidiabetic Agents Studies 5
- Co-authors
- Jung‐Soo HanMin‐Soo KimByoung‐Seob KoBo‐Ryoung ChoiJun LeeSin‐Hyeog ImJae‐Seon SoChoong‐Gu Lee
- Partner nations
- South KoreaUnited StatesNetherlands
In The Last Decade
Won Kyung Jeon
54 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 106
- Neurology 421
- Complementary and alternative medicine 261
- Biochemistry 120
- Biological Psychiatry 47
- Pharmacology 140
Countries citing papers authored by Won Kyung Jeon
This map shows the geographic impact of Won Kyung Jeon'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 Won Kyung Jeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Kyung Jeon more than expected).
Fields of papers citing papers by Won Kyung Jeon
This network shows the impact of papers produced by Won Kyung Jeon. 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 Won Kyung Jeon. The network helps show where Won Kyung Jeon may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Won Kyung Jeon, 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 | 2023 | 11 | |
| 2 | 2022 | 2 | |
| 3 | 2020 | 7 | |
| 4 | 2018 | 51 | |
| 5 | 2016 | 54 | |
| 6 | 2015 | 21 | |
| 7 | 2015 | 35 | |
| 8 | 2015 | 27 | |
| 9 | 2015 | 9 | |
| 10 | 2015 | 8 | |
| 11 | 2015 | 53 | |
| 12 | Articles : Chemical Constituents from the Fruits of Prunus mume | 2012 | 7 |
| 13 | Optimization of Ferric Chloride Induced Carotid Artery Thrombosis Model in a Rat: Effect of Ginkgo biloba Extracts | 2011 | 5 |
| 14 | 2011 | 31 | |
| 15 | 2010 | 33 | |
| 16 | A Trend of Yin-tonifying Formulas Compared with Yang-tonifying Formulas on Anti-platelet and Anti-thrombotic Activity | 2009 | 1 |
| 17 | 2009 | 97 | |
| 18 | Anti-platelet Activity of Tissue-cultured Mountain Ginseng Adventitious Roots in Human Whole Blood | 2008 | 9 |
| 19 | 2007 | 52 | |
| 20 | 2006 | 78 |
About Won Kyung Jeon
Won Kyung Jeon is a scholar working on Neurology, Complementary and alternative medicine and Pharmacology, having authored 54 papers that have together received 1.4k indexed citations. Recurring topics across this work include Neurological Disease Mechanisms and Treatments (23 papers), Neuroinflammation and Neurodegeneration Mechanisms (19 papers), Neurological Disorders and Treatments (8 papers), Alzheimer's disease research and treatments (6 papers), Medicinal Plants and Neuroprotection (5 papers), Traditional Chinese Medicine Analysis (5 papers), Natural Antidiabetic Agents Studies (5 papers) and Flavonoids in Medical Research (5 papers). The work is most often cited by research in Neurology (421 citations), Complementary and alternative medicine (261 citations) and Biochemistry (120 citations). Won Kyung Jeon has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Jung‐Soo Han, Min‐Soo Kim, Byoung‐Seob Ko, Bo‐Ryoung Choi, Jun Lee, Sin‐Hyeog Im, Jae‐Seon So, Choong‐Gu Lee, Ho‐Keun Kwon and Jisun Hwang. Their work appears in journals such as PLoS ONE, Molecules and Nutrients.
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.