Hyeong Won Yu

2.1k citations
95 papers · 1.2k · h-index 21

Impact in

Papers in

    • Thyroid and Parathyroid Surgery 43
    • Head and Neck Anomalies 8
    • Adrenal and Paraganglionic Tumors 6
    • Surgical Simulation and Training 5
    • Thyroid Cancer Diagnosis and Treatment 37
    • Thyroid Disorders and Treatments 4

Hyeong Won Yu

85 papers receiving 1.2k citations

Peers

Hyeong Won Yu
Comparison fields: 5 of 100
  • Endocrinology, Diabetes and Metabolism 432
  • Health Informatics 29
  • Surgery 635
  • Anatomy 8
  • Anesthesiology and Pain Medicine 24
Replace Hyoung Shin Lee with:
Hyoung Shin Lee South Korea
June Young Choi South Korea
Young Jun Chai South Korea
Eun Ju Ha South Korea
Pao‐Jen Kuo Taiwan
Cían Hughes United Kingdom
Timothy C. Brand United States
Jin Wook Yi South Korea
Kemal Üreten Türkiye
Youbin Deng China
Hyeong Won Yu relative to Hyoung Shin Lee South Korea Hyoung Shin Lee's profile →
Citations per field
00.5×4.3×
Hyoung Shin Lee · 1×
Citations per year

Countries citing papers authored by Hyeong Won Yu

Since Specialization
Citations

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

Fields of papers citing papers by Hyeong Won Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 95 papers — load more, or switch the sort, to bring in the rest.

#Work
1 202077
2 201669
3 202159
4 201453
5 201647
6 201546
7 201743
8 201541
9 202139
10 201736
11 201933
12 201733
13 201832
14 201729
15 201328
16 201927
17 201823
18 202022
19 202021
20 201521

About Hyeong Won Yu

Hyeong Won Yu is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Physiology, Nephrology and Computer Vision and Pattern Recognition, having authored 95 papers that have together received 1.2k indexed citations. Recurring topics across this work include Thyroid and Parathyroid Surgery (43 papers), Thyroid Cancer Diagnosis and Treatment (37 papers), Head and Neck Anomalies (8 papers), Adrenal and Paraganglionic Tumors (6 papers), Surgical Simulation and Training (5 papers), Parathyroid Disorders and Treatments (5 papers), Thyroid Disorders and Treatments (4 papers) and Voice and Speech Disorders (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (432 citations), Health Informatics (29 citations), Surgery (635 citations), Anatomy (8 citations) and Anesthesiology and Pain Medicine (24 citations). Hyeong Won Yu has collaborated with scholars based in South Korea, United States and Puerto Rico. Frequent co-authors include Kyu Eun Lee, June Young Choi, Young Jun Chai, Su‐jin Kim, Hyungju Kwon, Jin Wook Yi, Ra‐Yeong Song, Joon‐Hyop Lee, Hyoun‐Joong Kong and Hee Chan Kim. Their work appears in journals such as Journal of Clinical Medicine, Scientific Reports, Head & Neck, International Journal of Surgery and World Journal of Surgery.

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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