Jonghwa Won

1.3k citations
53 papers · 913 · h-index 18

Impact in

  • Biochemistry top 10%
    • Phytochemicals and Antioxidant Activities
    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses

Papers in

    • Glycosylation and Glycoproteins Research 5
    • HER2/EGFR in Cancer Research 5
    • CAR-T cell therapy research 5
    • Colorectal Cancer Treatments and Studies 4

Jonghwa Won

52 papers receiving 857 citations

Peers

Jonghwa Won
Comparison fields: 5 of 100
  • Biochemistry 72
  • Immunology 192
  • Oncology 206
  • Molecular Biology 346
  • Complementary and alternative medicine 33
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Jonghwa Won relative to Yeong Seok Kim South Korea Yeong Seok Kim's profile →
Citations per field
00.5×3.7×
Yeong Seok Kim · 1×
Citations per year

Countries citing papers authored by Jonghwa Won

Since Specialization
Citations

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

Fields of papers citing papers by Jonghwa Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 53 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Beneficial effects of rosmarinic acid on suppression of collagen induced arthritis.
200374
2
Tumorigenicity of mouse thymoma is suppressed by soluble type II transforming growth factor beta receptor therapy.
199969
3 200465
4 200356
5 200649
6 200349
7 202148
8 201146
9 202137
10 200133
11 200227
12 201527
13 200326
14 201724
15 200723
16 201222
17 201920
18 200420
19 202215
20 199315

About Jonghwa Won

Jonghwa Won is a scholar working on Molecular Biology, Oncology, Radiology, Nuclear Medicine and Imaging, Immunology and Cancer Research, having authored 53 papers that have together received 913 indexed citations. Recurring topics across this work include Monoclonal and Polyclonal Antibodies Research (14 papers), Immunotherapy and Immune Responses (6 papers), NF-κB Signaling Pathways (6 papers), Glycosylation and Glycoproteins Research (5 papers), HER2/EGFR in Cancer Research (5 papers), CAR-T cell therapy research (5 papers), Colorectal Cancer Treatments and Studies (4 papers) and Radiopharmaceutical Chemistry and Applications (4 papers). The work is most often cited by research in Biochemistry (72 citations), Immunology (192 citations), Oncology (206 citations), Molecular Biology (346 citations) and Complementary and alternative medicine (33 citations). Jonghwa Won has collaborated with scholars based in South Korea, Canada and United States. Frequent co-authors include Yun‐Gyoung Hur, Seog Bae Oh, Yungdae Yun, Keun‐Hyeung Lee, Hongtae Kim, See‐Hyoung Park, Eun Jeong Park, Chang‐Hee Suh, Seong‐Jin Kim and Yeonchul Hong. Their work appears in journals such as Cancer Research, Annals of Oncology, Molecules and Cells, Archives of Oral Biology and Blood.

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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