Ji‐Sup Yun

53 total papers · 991 total citations
32 papers, 741 citations indexed

About

Ji‐Sup Yun is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism and Pathology and Forensic Medicine. According to data from OpenAlex, Ji‐Sup Yun has authored 32 papers receiving a total of 741 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Surgery, 14 papers in Endocrinology, Diabetes and Metabolism and 5 papers in Pathology and Forensic Medicine. Recurrent topics in Ji‐Sup Yun's work include Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid and Parathyroid Surgery (10 papers) and Breast Cancer Treatment Studies (5 papers). Ji‐Sup Yun is often cited by papers focused on Thyroid Cancer Diagnosis and Treatment (14 papers), Thyroid and Parathyroid Surgery (10 papers) and Breast Cancer Treatment Studies (5 papers). Ji‐Sup Yun collaborates with scholars based in South Korea and United States. Ji‐Sup Yun's co-authors include Woong Youn Chung, Kee‐Hyun Nam, Chan Heun Park, Yong Lai Park, Eun Young Kim, Cheong Soo Park, Jong Ju Jeong, Yoon Jung Choi, Yong Sang Lee and Hee Sung Kim and has published in prestigious journals such as PLoS ONE, Cancer and International Journal of Cancer.

In The Last Decade

Ji‐Sup Yun

30 papers receiving 722 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Ji‐Sup Yun 425 360 113 97 89 32 741
B J Harrison 514 1.2× 277 0.8× 72 0.6× 141 1.5× 104 1.2× 25 892
C Pagetta 585 1.4× 546 1.5× 90 0.8× 38 0.4× 152 1.7× 34 878
Deepak Thomas Abraham 343 0.8× 300 0.8× 100 0.9× 46 0.5× 68 0.8× 63 657
Katrin Brauckhoff 464 1.1× 491 1.4× 204 1.8× 35 0.4× 63 0.7× 35 768
Massimo Monacelli 472 1.1× 437 1.2× 54 0.5× 68 0.7× 123 1.4× 49 806
J.L. Kraimps 453 1.1× 461 1.3× 148 1.3× 38 0.4× 52 0.6× 29 798
Jean‐Louis Peix 431 1.0× 520 1.4× 82 0.7× 33 0.3× 41 0.5× 28 777
Renato Patrone 362 0.9× 262 0.7× 60 0.5× 37 0.4× 99 1.1× 50 818
A Denizot 623 1.5× 477 1.3× 119 1.1× 58 0.6× 118 1.3× 33 902
Yoon Kyoung So 458 1.1× 474 1.3× 97 0.9× 26 0.3× 128 1.4× 39 799

Countries citing papers authored by Ji‐Sup Yun

Since Specialization
Citations

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

Fields of papers citing papers by Ji‐Sup Yun

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ji‐Sup Yun. 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 Ji‐Sup Yun. The network helps show where Ji‐Sup Yun may publish in the future.

Co-authorship network of co-authors of Ji‐Sup Yun

This figure shows the co-authorship network connecting the top 25 collaborators of Ji‐Sup Yun. A scholar is included among the top collaborators of Ji‐Sup Yun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ji‐Sup Yun. Ji‐Sup Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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2026