Jong Hoon Won
Impact in
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- Connective Tissue Growth Factor Research
- Sphingolipid Metabolism and Signaling
- Lipid Membrane Structure and Behavior
Papers in ⓘ
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- Sphingolipid Metabolism and Signaling 8
- Lipid Membrane Structure and Behavior 4
- Connective Tissue Growth Factor Research 2
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- Immune Response and Inflammation 3
- Co-authors
- Dae Kyong Kim (19 shared papers)KH Kim (1 shared paper)Lester F. Lau (1 shared paper)Hae Chan Ha (11 shared papers)Jong Min Choi (11 shared papers)Jacob Choi (1 shared paper)Joon-Il Jun (1 shared paper)Kyu Hyun Yang (1 shared paper)
- Journals
- Archives of Pharmacal Research (4 papers)Biomolecules & Therapeutics (4 papers)Molecules and Cells (3 papers)Biological and Pharmaceutical Bulletin (2 papers)Nature Communications (1 paper)
- Partner nations
- South KoreaUnited StatesChina
In The Last Decade
Jong Hoon Won
29 papers receiving 440 citations
Peers
Comparison fields: 5 of 88
- Molecular Biology 214
- Pharmacology 20
- Immunology 47
- Biochemistry 13
- Nutrition and Dietetics 33
Countries citing papers authored by Jong Hoon Won
This map shows the geographic impact of Jong Hoon 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 Jong Hoon Won with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jong Hoon Won more than expected).
Fields of papers citing papers by Jong Hoon Won
This network shows the impact of papers produced by Jong Hoon 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 Jong Hoon Won. The network helps show where Jong Hoon Won may publish in the future.
Co-authors
The 25 scholars most cited alongside Jong Hoon 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 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 69 | |
| 2 | 2014 | 43 | |
| 3 | 2015 | 43 | |
| 4 | 2022 | 38 | |
| 5 | 2004 | 37 | |
| 6 | 2018 | 37 | |
| 7 | 2016 | 29 | |
| 8 | 1993 | 20 | |
| 9 | 2016 | 16 | |
| 10 | 2012 | 14 | |
| 11 | 2014 | 14 | |
| 12 | 2011 | 13 | |
| 13 | 2018 | 12 | |
| 14 | 2014 | 9 | |
| 15 | 2010 | 9 | |
| 16 | 2023 | 7 | |
| 17 | 2011 | 7 | |
| 18 | 2018 | 4 | |
| 19 | 1995 | 4 | |
| 20 | 2013 | 4 |
About Jong Hoon Won
Jong Hoon Won is a scholar working on Molecular Biology, Immunology, Plant Science, Surgery and Cellular and Molecular Neuroscience, having authored 30 papers that have together received 445 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (4 papers), Immune Response and Inflammation (3 papers), Cellular transport and secretion (3 papers), Nerve injury and regeneration (2 papers), Connective Tissue Growth Factor Research (2 papers), Calcium signaling and nucleotide metabolism (2 papers) and NF-κB Signaling Pathways (2 papers). The work is most often cited by research in Molecular Biology (214 citations), Pharmacology (20 citations), Immunology (47 citations), Biochemistry (13 citations) and Nutrition and Dietetics (33 citations). Jong Hoon Won has collaborated with scholars based in South Korea, United States and China. Frequent co-authors include Dae Kyong Kim, KH Kim, Lester F. Lau, Hae Chan Ha, Jong Min Choi, Jacob Choi, Joon-Il Jun, Kyu Hyun Yang, Sung Jin Park and In Chul Shin. Their work appears in journals such as Archives of Pharmacal Research, Biomolecules & Therapeutics, Molecules and Cells, Biological and Pharmaceutical Bulletin and Nature Communications.
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.