Cheolhee Won

1.2k citations
33 papers · 1.0k indexed · h-index 19

Impact in

Papers in

    • Cytokine Signaling Pathways and Interactions 5
    • Cancer Cells and Metastasis 3
    • RNA Interference and Gene Delivery 10
    • Advanced biosensing and bioanalysis techniques 6
    • Pluripotent Stem Cells Research 4

Cheolhee Won

33 papers receiving 1.0k citations

Peers

Cheolhee Won
Comparison fields: 5 of 95
  • Cancer Research 144
  • Immunology 197
  • Oncology 238
  • Molecular Biology 577
  • Biomaterials 65
Replace Dana Cholujová with:
Dana Cholujová Slovakia
Dae‐Seog Lim South Korea
Maria Paprocka Poland
Na Luo China
Claudia Giampietri Italy
Yong-Qiu Mao China
Yiwei Wang China
Yan Du China
Magdalena Klink Poland
Yaghoub Yazdani Iran
Cheolhee Won relative to Dana Cholujová Slovakia Dana Cholujová's profile →
Citations per field
00.5×
Dana Cholujová · 1×
Citations per year

Countries citing papers authored by Cheolhee Won

Since Specialization
Citations

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

Fields of papers citing papers by Cheolhee Won

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 33 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015155
2 2012101
3 201479
4 201871
5 201667
6 200849
7 201346
8 202333
9 201332
10 202031
11 202130
12
CADPE suppresses cyclin D1 expression in hepatocellular carcinoma by blocking IL-6-induced STAT3 activation.
201030
13 201329
14 201325
15 201724
16 201622
17 200921
18 201420
19 201220
20 200918

About Cheolhee Won

Cheolhee Won is a scholar working on Oncology, Molecular Biology, Toxicology, Immunology and Cancer Research, having authored 33 papers that have together received 1.0k indexed citations. Recurring topics across this work include RNA Interference and Gene Delivery (10 papers), Advanced biosensing and bioanalysis techniques (6 papers), Cytokine Signaling Pathways and Interactions (5 papers), Reproductive Biology and Fertility (5 papers), Animal Genetics and Reproduction (4 papers), Pluripotent Stem Cells Research (4 papers), Cancer Cells and Metastasis (3 papers) and Immunotherapy and Immune Responses (3 papers). The work is most often cited by research in Cancer Research (144 citations), Immunology (197 citations), Oncology (238 citations), Molecular Biology (577 citations) and Biomaterials (65 citations). Cheolhee Won has collaborated with scholars based in South Korea, United States and Ethiopia. Frequent co-authors include Dal‐Hee Min, Sang‐Kyu Ye, Eun Hee Yi, Seounghun Kang, Byung‐Hak Kim, Seongchan Kim, Jin‐Ku Lee, Chang Seok Lee, Jungho Kim and Myoung‐Hwan Kim. Their work appears in journals such as Nature Communications, Reproduction Fertility and Development, ACS Applied Materials & Interfaces, Scientific Reports and Molecules and Cells.

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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