Eunpi Cho

695 citations
24 papers · 509 · h-index 13

Impact in

Papers in

Eunpi Cho

23 papers receiving 501 citations

Peers

Eunpi Cho
Comparison fields: 5 of 69
  • Cardiology and Cardiovascular Medicine 140
  • Orthopedics and Sports Medicine 46
  • Health Informatics 7
  • Pulmonary and Respiratory Medicine 129
  • Genetics 36
Replace Patricia Arscott with:
Patricia Arscott United States
Bartłomiej Tomasik Poland
Naohito Yamamoto Japan
Takashi Hatano Japan
Kiyoaki Inoue Japan
Mohammed H Alam United Kingdom
Atsuo Okamura Japan
Lisbeth Ärlestig Sweden
Xuhua He Sweden
C. Höß Germany
Eunpi Cho relative to Patricia Arscott United States Patricia Arscott's profile →
Citations per field
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Citations per year

Countries citing papers authored by Eunpi Cho

Since Specialization
Citations

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

Fields of papers citing papers by Eunpi Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006175
2 201450
3 201842
4 201731
5 201527
6 200827
7 201525
8 201018
9 202316
10 202116
11 201216
12 201915
13 201914
14 201611
15 20217
16 20225
17 20154
18 20183
19 20212
20 20142

About Eunpi Cho

Eunpi Cho is a scholar working on Pulmonary and Respiratory Medicine, Molecular Biology, Oncology, Hematology and Cancer Research, having authored 24 papers that have together received 509 indexed citations. Recurring topics across this work include Prostate Cancer Treatment and Research (5 papers), Acute Myeloid Leukemia Research (3 papers), Drug Transport and Resistance Mechanisms (2 papers), Cancer, Lipids, and Metabolism (2 papers), Retinoids in leukemia and cellular processes (2 papers), Breast Cancer Treatment Studies (2 papers), HER2/EGFR in Cancer Research (2 papers) and Lymphoma Diagnosis and Treatment (2 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (140 citations), Orthopedics and Sports Medicine (46 citations), Health Informatics (7 citations), Pulmonary and Respiratory Medicine (129 citations) and Genetics (36 citations). Eunpi Cho has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Bruce Montgomery, Elahe A. Mostaghel, Cynthia A. James, April Tucker, Stuart D. Russell, Nuria Amat‐Alarcon, Hugh Calkins, Crystal Tichnell, Daniel P. Judge and Mark M. Awad. Their work appears in journals such as Journal of Clinical Oncology, Blood, Leukemia Research, JNCI Journal of the National Cancer Institute and Clinical Cancer Research.

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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