Won Uk Koh

87 total papers · 952 total citations
65 papers, 592 citations indexed

About

Won Uk Koh is a scholar working on Surgery, Anesthesiology and Pain Medicine and Pathology and Forensic Medicine. According to data from OpenAlex, Won Uk Koh has authored 65 papers receiving a total of 592 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Surgery, 16 papers in Anesthesiology and Pain Medicine and 13 papers in Pathology and Forensic Medicine. Recurrent topics in Won Uk Koh's work include Anesthesia and Pain Management (34 papers), Spine and Intervertebral Disc Pathology (12 papers) and Nausea and vomiting management (12 papers). Won Uk Koh is often cited by papers focused on Anesthesia and Pain Management (34 papers), Spine and Intervertebral Disc Pathology (12 papers) and Nausea and vomiting management (12 papers). Won Uk Koh collaborates with scholars based in South Korea, United States and Canada. Won Uk Koh's co-authors include Young‐Jin Ro, Ha‐Jung Kim, Jun‐Gol Song, Hyungtae Kim, Jonathan S. Jahr, Jeong Hun Suh, Woo-Jong Choi, Myong-Hwan Karm, Seong-Soo Choi and Jin Woo Shin and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Bone and Joint Surgery and Scientific Reports.

In The Last Decade

Won Uk Koh

56 papers receiving 576 citations

Author Peers

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

Author Last Decade Papers Cites
Won Uk Koh 342 137 133 111 108 65 592
Murat Sayın 321 0.9× 80 0.6× 246 1.8× 132 1.2× 31 0.3× 49 602
Eliana Marisa Ganem 358 1.0× 93 0.7× 159 1.2× 180 1.6× 18 0.2× 57 544
André Gottschalk 381 1.1× 96 0.7× 142 1.1× 155 1.4× 20 0.2× 30 585
Carol L. Lake 279 0.8× 45 0.3× 135 1.0× 229 2.1× 21 0.2× 54 667
VK Mohan 315 0.9× 65 0.5× 141 1.1× 56 0.5× 27 0.3× 59 523
Nimet Şenoğlu 277 0.8× 112 0.8× 87 0.7× 51 0.5× 61 0.6× 55 614
Hwa Yong Shin 254 0.7× 67 0.5× 205 1.5× 64 0.6× 43 0.4× 44 578
Monica W. Harbell 478 1.4× 70 0.5× 174 1.3× 189 1.7× 27 0.3× 42 662
Jean-Pierre Tétrault 270 0.8× 53 0.4× 134 1.0× 81 0.7× 46 0.4× 28 621
J. B. Löfström 450 1.3× 74 0.5× 279 2.1× 141 1.3× 42 0.4× 33 688

Countries citing papers authored by Won Uk Koh

Since Specialization
Citations

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

Fields of papers citing papers by Won Uk Koh

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Won Uk Koh

This figure shows the co-authorship network connecting the top 25 collaborators of Won Uk Koh. A scholar is included among the top collaborators of Won Uk Koh 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 Won Uk Koh. Won Uk Koh 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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