Won Jong Jin

1.2k citations
28 papers · 611 · h-index 15

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • Chemokine receptors and signaling
    • Bone health and treatments
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Immune Cell Function and Interaction

Papers in

    • Bone health and treatments 7
    • Cancer Immunotherapy and Biomarkers 7
    • Chemokine receptors and signaling 4
    • Bone Metabolism and Diseases 10
    • TGF-β signaling in diseases 3

Won Jong Jin

27 papers receiving 605 citations

Peers

Won Jong Jin
Comparison fields: 5 of 76
  • Oncology 259
  • Immunology 190
  • Rheumatology 62
  • Cancer Research 56
  • Molecular Biology 211
Replace Ryunosuke Muro with:
Ryunosuke Muro Japan
Dávid Győri Hungary
Bettina Grötsch Germany
Claudia Gemelli Italy
Maki Fujishiro Japan
Pei Qiao China
Larry Wong United States
Jeffery H. Carpenter United States
Xingxia Liu China
Juraj Adamik United States
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Citations per field
00.5×2.9×
Ryunosuke Muro · 1×
Citations per year

Countries citing papers authored by Won Jong Jin

Since Specialization
Citations

This map shows the geographic impact of Won Jong Jin'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 Jong Jin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Won Jong Jin more than expected).

Fields of papers citing papers by Won Jong Jin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Won Jong Jin. 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 Jong Jin. The network helps show where Won Jong Jin may publish in the future.

Co-authors

The 25 scholars most cited alongside Won Jong Jin, 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 Won Jong Jin Line = papers co-authored together Won Jong Jin links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017112
2 201297
3 201754
4 202434
5 202129
6 201429
7 201525
8 201225
9 202323
10 201321
11 202021
12 201619
13 202218
14 201816
15 202114
16 201912
17 202012
18 202311
19 201211
20 20239

About Won Jong Jin

Won Jong Jin is a scholar working on Oncology, Molecular Biology, Immunology, Pulmonary and Respiratory Medicine and Pharmacology, having authored 28 papers that have together received 611 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (10 papers), Bone health and treatments (7 papers), Cancer Immunotherapy and Biomarkers (7 papers), Immunotherapy and Immune Responses (6 papers), Chemokine receptors and signaling (4 papers), TGF-β signaling in diseases (3 papers), NF-κB Signaling Pathways (2 papers) and Inflammatory mediators and NSAID effects (2 papers). The work is most often cited by research in Oncology (259 citations), Immunology (190 citations), Rheumatology (62 citations), Cancer Research (56 citations) and Molecular Biology (211 citations). Won Jong Jin has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Zang Hee Lee, Hyunil Ha, Bong-Jun Kim, Hong‐Hee Kim, Jong-Ho Lee, Ha‐Neui Kim, Zachary S. Morris, Hong-Hee Kim, Kyung-Ok Kim and Seungbok Lee. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, Cancer Research, European Journal of Pharmacology, Biochemical Pharmacology and Frontiers in Immunology.

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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