Yong‐Hee Cho

1.2k citations
31 papers · 959 · h-index 18

Impact in

  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer-related Molecular Pathways
    • Cancer Genomics and Diagnostics

Papers in

    • Wnt/β-catenin signaling in development and cancer 4
    • PI3K/AKT/mTOR signaling in cancer 3
    • Cancer-related gene regulation 2
    • Cancer Cells and Metastasis 6
    • Cancer-related Molecular Pathways 3
    • HER2/EGFR in Cancer Research 3

Yong‐Hee Cho

27 papers receiving 937 citations

Peers

Yong‐Hee Cho
Comparison fields: 5 of 95
  • Oncology 318
  • Cancer Research 136
  • Molecular Biology 436
  • Pathology and Forensic Medicine 68
  • Food Science 74
Replace Hui Gao with:
Hui Gao China
Monica Loi Italy
Deepak B. Thimiri Govinda Raj Norway
Zhao Yang China
Min Jiao China
Jiang Chen China
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Yong‐Hee Cho relative to Hui Gao China Hui Gao's profile →
Citations per field
00.5×1.5×2.2×
Hui Gao · 1×
Citations per year

Countries citing papers authored by Yong‐Hee Cho

Since Specialization
Citations

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

Fields of papers citing papers by Yong‐Hee Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yong‐Hee Cho. 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 Yong‐Hee Cho. The network helps show where Yong‐Hee Cho may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 31 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020262
2 201686
3 200381
4 201546
5 201442
6 202040
7 201940
8 201839
9 202135
10 201632
11 202029
12 201925
13 201823
14 201922
15 202121
16 202119
17 200219
18 201518
19 201714
20 201911

About Yong‐Hee Cho

Yong‐Hee Cho is a scholar working on Molecular Biology, Oncology, Pathology and Forensic Medicine, Cancer Research and Surgery, having authored 31 papers that have together received 959 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (6 papers), Wnt/β-catenin signaling in development and cancer (4 papers), Genetic factors in colorectal cancer (4 papers), Cancer-related Molecular Pathways (3 papers), HER2/EGFR in Cancer Research (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers), Cancer Genomics and Diagnostics (2 papers) and Cancer-related gene regulation (2 papers). The work is most often cited by research in Oncology (318 citations), Cancer Research (136 citations), Molecular Biology (436 citations), Pathology and Forensic Medicine (68 citations) and Food Science (74 citations). Yong‐Hee Cho has collaborated with scholars based in South Korea, United States and Netherlands. Frequent co-authors include Kang‐Yell Choi, Eun Ji Ro, Jongchan Park, Tae Il Kim, Tomohiro Mizutani, Hans Clevers, Do Sik Min, Pu-Hyeon Cha, Gyoonhee Han and Jong‐Chan Park. Their work appears in journals such as Experimental & Molecular Medicine, Current Issues in Molecular Biology, Oncotarget, Cell Communication and Signaling and Nature Communications.

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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