Won Jong Jin

1.1k citations
27 papers · 583 · h-index 14

Impact in

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

Papers in

    • Cancer Immunotherapy and Biomarkers 10
    • Bone health and treatments 8
    • CAR-T cell therapy research 4
    • Chemokine receptors and signaling 4
    • Immunotherapy and Immune Responses 10

Won Jong Jin

27 papers receiving 577 citations

Peers

Won Jong Jin
Comparison fields: 5 of 77
  • Oncology 286
  • Immunology 215
  • Rheumatology 71
  • Cancer Research 66
  • Molecular Biology 228
Replace Bettina Grötsch with:
Bettina Grötsch Germany
Ryunosuke Muro Japan
Dávid Győri Hungary
Anandi Sawant United States
Yingjie Nie China
Claudia Gemelli Italy
Maureen K. Suchanek United States
Debbie Roeleveld Netherlands
Neelanjan Ray Japan
David G. Winkler United States
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Citations per field
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Bettina Grötsch · 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 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2017108
2 201294
3 201753
4 202129
5 201428
6 201525
7 201224
8 202323
9 202422
10 202021
11 201320
12 201618
13 202218
14 201816
15 202113
16 202012
17 201912
18 201211
19 20239
20 20209

About Won Jong Jin

Won Jong Jin is a scholar working on Oncology, Immunology, Molecular Biology, Pulmonary and Respiratory Medicine and Rheumatology, having authored 27 papers that have together received 583 indexed citations. Recurring topics across this work include Bone Metabolism and Diseases (11 papers), Immunotherapy and Immune Responses (10 papers), Cancer Immunotherapy and Biomarkers (10 papers), Bone health and treatments (8 papers), CAR-T cell therapy research (4 papers), Chemokine receptors and signaling (4 papers), TGF-β signaling in diseases (3 papers) and Brain Metastases and Treatment (3 papers). The work is most often cited by research in Oncology (286 citations), Immunology (215 citations), Rheumatology (71 citations), Cancer Research (66 citations) and Molecular Biology (228 citations). Won Jong Jin has collaborated with scholars based in United States, South Korea and Puerto Rico. Frequent co-authors include Hyunil Ha, Bong-Jun Kim, Zang Hee Lee, Jong-Ho Lee, Hong‐Hee Kim, Ha‐Neui Kim, Zachary S. Morris, Kyung-Ok Kim, Hong-Hee Kim and Seungbok Lee. Their work appears in journals such as Journal for ImmunoTherapy of Cancer, European Journal of Pharmacology, Cancer Research, Data in Brief 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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