Na Ra Kim

46 total papers · 1.5k total citations
37 papers, 1.0k citations indexed

About

Na Ra Kim is a scholar working on Surgery, Pathology and Forensic Medicine and Rheumatology. According to data from OpenAlex, Na Ra Kim has authored 37 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Surgery, 9 papers in Pathology and Forensic Medicine and 8 papers in Rheumatology. Recurrent topics in Na Ra Kim's work include Shoulder Injury and Treatment (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Orthopedic Surgery and Rehabilitation (5 papers). Na Ra Kim is often cited by papers focused on Shoulder Injury and Treatment (10 papers), Spine and Intervertebral Disc Pathology (7 papers) and Orthopedic Surgery and Rehabilitation (5 papers). Na Ra Kim collaborates with scholars based in South Korea, Ethiopia and United States. Na Ra Kim's co-authors include Sung Gyu Moon, Kyung-Soo Oh, Heung Sik Kang, Joon Woo Lee, Sung Hwan Hong, Seok Won Chung, Ja Young Choi, Youngjun Kim, Jung‐Ah Choi and Young-Min Noh and has published in prestigious journals such as Spine, The American Journal of Sports Medicine and American Journal of Roentgenology.

In The Last Decade

Na Ra Kim

37 papers receiving 990 citations

Author Peers

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

Author Last Decade Papers Cites
Na Ra Kim 572 219 200 187 179 37 1.0k
Akira M. Murakami 513 0.9× 134 0.6× 122 0.6× 147 0.8× 101 0.6× 38 963
Jacob Mandell 533 0.9× 245 1.1× 176 0.9× 86 0.5× 41 0.2× 66 967
Cree M. Gaskin 676 1.2× 79 0.4× 195 1.0× 140 0.7× 27 0.2× 50 1.1k
Robert Bleakney 458 0.8× 54 0.2× 325 1.6× 94 0.5× 331 1.8× 25 1.0k
Varun Arvind 703 1.2× 330 1.5× 74 0.4× 96 0.5× 139 0.8× 66 1.2k
Matt Skalski 562 1.0× 161 0.7× 91 0.5× 252 1.3× 9 0.1× 33 872
Joyeeta Roy 617 1.1× 75 0.3× 298 1.5× 127 0.7× 24 0.1× 26 936
Michel P. J. van den Bekerom 751 1.3× 151 0.7× 74 0.4× 270 1.4× 78 0.4× 44 1.1k
William J. Montgomery 599 1.0× 110 0.5× 215 1.1× 147 0.8× 12 0.1× 31 980
Fábio Pinto 521 0.9× 103 0.5× 354 1.8× 65 0.3× 62 0.3× 37 960

Countries citing papers authored by Na Ra Kim

Since Specialization
Citations

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

Fields of papers citing papers by Na Ra Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Na Ra 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 Na Ra Kim. The network helps show where Na Ra Kim may publish in the future.

Co-authorship network of co-authors of Na Ra Kim

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