Gang-Un Kim

31 total papers · 652 total citations
26 papers, 452 citations indexed

About

Gang-Un Kim is a scholar working on Surgery, Pathology and Forensic Medicine and Pharmacology. According to data from OpenAlex, Gang-Un Kim has authored 26 papers receiving a total of 452 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 14 papers in Pathology and Forensic Medicine and 5 papers in Pharmacology. Recurrent topics in Gang-Un Kim's work include Spinal Fractures and Fixation Techniques (16 papers), Spine and Intervertebral Disc Pathology (13 papers) and Cervical and Thoracic Myelopathy (6 papers). Gang-Un Kim is often cited by papers focused on Spinal Fractures and Fixation Techniques (16 papers), Spine and Intervertebral Disc Pathology (13 papers) and Cervical and Thoracic Myelopathy (6 papers). Gang-Un Kim collaborates with scholars based in South Korea. Gang-Un Kim's co-authors include Gun Woo Lee, Ho‐Joong Kim, Jin S. Yeom, Choon‐Ki Lee, Bong‐Soon Chang, Sang‐Min Park, Min Cheol Chang, Min‐Ho Choi, Tae Uk Kim and Yoo Jin Choo and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Medicine.

In The Last Decade

Gang-Un Kim

26 papers receiving 447 citations

Author Peers

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

Author Last Decade Papers Cites
Gang-Un Kim 330 285 85 62 29 26 452
Jianwen Dong 336 1.0× 387 1.4× 162 1.9× 54 0.9× 36 1.2× 29 501
Munehisa Koizumi 318 1.0× 318 1.1× 144 1.7× 67 1.1× 26 0.9× 34 535
Albrecht Waschke 407 1.2× 315 1.1× 57 0.7× 45 0.7× 20 0.7× 28 538
Qingjun Su 262 0.8× 261 0.9× 64 0.8× 24 0.4× 37 1.3× 44 416
Stefan Schären 254 0.8× 248 0.9× 198 2.3× 90 1.5× 38 1.3× 40 492
Jim Raso 371 1.1× 127 0.4× 53 0.6× 51 0.8× 21 0.7× 26 458
Monchai Ruangchainikom 305 0.9× 308 1.1× 77 0.9× 91 1.5× 74 2.6× 39 483
Aikeremujiang Muheremu 303 0.9× 217 0.8× 57 0.7× 97 1.6× 22 0.8× 38 508
Kee-Won Rhyu 362 1.1× 330 1.2× 57 0.7× 67 1.1× 21 0.7× 18 475
Sandy Goncalves 257 0.8× 264 0.9× 52 0.6× 26 0.4× 23 0.8× 21 458

Countries citing papers authored by Gang-Un Kim

Since Specialization
Citations

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

Fields of papers citing papers by Gang-Un Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gang-Un Kim. 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 Gang-Un Kim. The network helps show where Gang-Un Kim may publish in the future.

Co-authorship network of co-authors of Gang-Un Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Gang-Un Kim. A scholar is included among the top collaborators of Gang-Un Kim 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 Gang-Un Kim. Gang-Un Kim 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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