Jae Won Cho

774 citations
33 papers · 588 · h-index 11

Impact in

Papers in

Jae Won Cho

32 papers receiving 578 citations

Peers

Jae Won Cho
Comparison fields: 5 of 73
  • Endocrinology, Diabetes and Metabolism 108
  • Cancer Research 89
  • Hepatology 31
  • Oncology 86
  • Molecular Biology 233
Replace Inês Cebola with:
Inês Cebola United Kingdom
Stephen A. Hoang United States
Ainhoa Iglesias–Ara Spain
Robert Sherwin United States
Stéphanie Moulin France
Zhaohui Lyu China
Louise Falstrault Canada
Tixiao Wang China
Shamini G. Shekeran Singapore
Xuan Luo China
Jae Won Cho relative to Inês Cebola United Kingdom Inês Cebola's profile →
Citations per field
00.5×1.5×2.4×
Inês Cebola · 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 2008313
2 201450
3 201836
4 200528
5 201917
6 201816
7 200216
8 201813
9 200112
10 201711
11 200311
12 20188
13 20118
14 20246
15 20116
16 20235
17 20115
18 20233
19 20243
20 20183

About Jae Won Cho

Jae Won Cho is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Physiology, Cancer Research and Nutrition and Dietetics, having authored 33 papers that have together received 588 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (8 papers), Adrenal and Paraganglionic Tumors (8 papers), Diet and metabolism studies (4 papers), Thyroid and Parathyroid Surgery (3 papers), Nutrition, Health and Food Behavior (3 papers), Hormonal Regulation and Hypertension (2 papers), Hepatocellular Carcinoma Treatment and Prognosis (2 papers) and Food Quality and Safety Studies (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (108 citations), Cancer Research (89 citations), Hepatology (31 citations), Oncology (86 citations) and Molecular Biology (233 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, Min Sook Kim, Young Min Park, Young Nyun Park, Guhung Jung, Seung-Oe Lim, Yu‐Mi Lee, Suck Joon Hong and Jong Ho Yoon. Their work appears in journals such as Surgical Endoscopy, Journal of Korean Medical Science, International Journal of Surgery, Thyroid and Journal of Laparoendoscopic & Advanced Surgical Techniques.

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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