Jae Won Cho

754 citations
33 papers · 579 · h-index 11

Impact in

Papers in

    • Thyroid Cancer Diagnosis and Treatment 10
    • Hormonal Regulation and Hypertension 6
    • Pituitary Gland Disorders and Treatments 5
    • Adrenal and Paraganglionic Tumors 9
    • Thyroid and Parathyroid Surgery 8

Jae Won Cho

31 papers receiving 568 citations

Peers

Jae Won Cho
Comparison fields: 5 of 83
  • Endocrinology, Diabetes and Metabolism 126
  • Cancer Research 111
  • Hepatology 37
  • Oncology 121
  • Molecular Biology 274
Replace Stephen A. Hoang with:
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Jae Won Cho relative to Stephen A. Hoang United States Stephen A. Hoang's profile →
Citations per field
00.5×1.5×
Stephen A. Hoang · 1×
Citations per year

Countries citing papers authored by Jae Won Cho

Since Specialization
Citations

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

Fields of papers citing papers by Jae Won Cho

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jae Won 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 Jae Won Cho Line = papers co-authored together Jae Won Cho 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 2008311
2 201450
3 201836
4 200528
5 201917
6 200216
7 201814
8 201813
9 200112
10 201710
11 200310
12 20188
13 20118
14 20116
15 20245
16 20115
17 20234
18 20243
19 20173
20 20233

About Jae Won Cho

Jae Won Cho is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Physiology and Pulmonary and Respiratory Medicine, having authored 33 papers that have together received 579 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (10 papers), Adrenal and Paraganglionic Tumors (9 papers), Thyroid and Parathyroid Surgery (8 papers), Hormonal Regulation and Hypertension (6 papers), Pituitary Gland Disorders and Treatments (5 papers), Cancer, Hypoxia, and Metabolism (4 papers), Nutrition, Health and Food Behavior (4 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (126 citations), Cancer Research (111 citations), Hepatology (37 citations), Oncology (121 citations) and Molecular Biology (274 citations). Jae Won Cho has collaborated with scholars based in South Korea, Kuwait and United Kingdom. Frequent co-authors include Cheol Keun Park, Hyun Soo Kim, Young Min Park, Seung-Oe Lim, Young Nyun Park, Guhung Jung, Min Sook Kim, Yu‐Mi Lee, Suck Joon Hong and Jong Ho Yoon. Their work appears in journals such as International Journal of Surgery, Surgery, Journal of Laparoendoscopic & Advanced Surgical Techniques, Surgical Endoscopy and Journal of Korean Medical Science.

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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