Jong Hoon Won

590 citations
29 papers · 480 · h-index 13

Impact in

    • Connective Tissue Growth Factor Research
    • Sphingolipid Metabolism and Signaling
    • Lipid Membrane Structure and Behavior

Papers in

    • Sphingolipid Metabolism and Signaling 8
    • Lipid Membrane Structure and Behavior 4
    • Connective Tissue Growth Factor Research 2
    • Immune Response and Inflammation 3

Jong Hoon Won

27 papers receiving 475 citations

Peers

Jong Hoon Won
Comparison fields: 5 of 85
  • Molecular Biology 211
  • Pharmacology 20
  • Cancer Research 32
  • Immunology 46
  • Nutrition and Dietetics 33
Replace Estefanía de Gregorio with:
Estefanía de Gregorio Spain
Xiaoguang Chen China
Daisuke Mikami Japan
Mallikarjuna Reddy Metukuri United States
Jaehoon Choi South Korea
Natsuko Kageyama‐Yahara Japan
Tetyana Khomenko United States
Stavroula Salakou Greece
Natalia Venediktova Russia
Suyu Chen China
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Citations per field
00.5×2×4×6.8×
Estefanía de Gregorio · 1×
Citations per year

Countries citing papers authored by Jong Hoon Won

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Jong Hoon Won Line = papers co-authored together Jong Hoon Won links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201874
2 202247
3 201545
4 201444
5 201841
6 200438
7 201630
8 199325
9 201616
10 201215
11 201415
12 201815
13 201113
14 201012
15 20149
16 20238
17 20117
18 20134
19 20184
20 20134

About Jong Hoon Won

Jong Hoon Won is a scholar working on Molecular Biology, Immunology, Hematology, Physiology and Cancer Research, having authored 29 papers that have together received 480 indexed citations. Recurring topics across this work include Sphingolipid Metabolism and Signaling (8 papers), Lipid Membrane Structure and Behavior (4 papers), Cellular transport and secretion (3 papers), Immune Response and Inflammation (3 papers), NF-κB Signaling Pathways (2 papers), Paraquat toxicity studies and treatments (2 papers), Connective Tissue Growth Factor Research (2 papers) and Cancer and Skin Lesions (2 papers). The work is most often cited by research in Molecular Biology (211 citations), Pharmacology (20 citations), Cancer Research (32 citations), Immunology (46 citations) and Nutrition and Dietetics (33 citations). Jong Hoon Won has collaborated with scholars based in South Korea, United States and Philippines. Frequent co-authors include Dae Kyong Kim, Lester F. Lau, KH Kim, Hae Chan Ha, Jacob Seung Choi, Jong Min Choi, Joon-Il Jun, Sung Ku Ahn, Hui Wan Park and Kyu Hyun Yang. Their work appears in journals such as Archives of Pharmacal Research, Biomolecules & Therapeutics, Molecules and Cells, Biological and Pharmaceutical Bulletin and Journal of Cell Communication and Signaling.

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.

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