Jun Kim

7.9k total citations
251 papers, 5.6k citations indexed

About

Jun Kim is a scholar working on Surgery, Pathology and Forensic Medicine and Biomedical Engineering. According to data from OpenAlex, Jun Kim has authored 251 papers receiving a total of 5.6k indexed citations (citations by other indexed papers that have themselves been cited), including 131 papers in Surgery, 91 papers in Pathology and Forensic Medicine and 28 papers in Biomedical Engineering. Recurrent topics in Jun Kim's work include Spine and Intervertebral Disc Pathology (87 papers), Spinal Fractures and Fixation Techniques (65 papers) and Cervical and Thoracic Myelopathy (36 papers). Jun Kim is often cited by papers focused on Spine and Intervertebral Disc Pathology (87 papers), Spinal Fractures and Fixation Techniques (65 papers) and Cervical and Thoracic Myelopathy (36 papers). Jun Kim collaborates with scholars based in United States, South Korea and Australia. Jun Kim's co-authors include Samuel K. Cho, Kevin Phan, Nathan J. Lee, Parth Kothari, Samuel C. Overley, Charles L. Edelstein, John Di Capua, Yunxia Tao, Robert W. Schrier and Varun Arvind and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Medicine and Journal of Neuroscience.

In The Last Decade

Jun Kim

230 papers receiving 5.5k citations

Peers

Jun Kim
Comparison fields: 5 of 201
  • Surgery 2.8k
  • Pathology and Forensic Medicine 1.9k
  • Biomedical Engineering 622
  • Molecular Biology 612
  • Cardiology and Cardiovascular Medicine 453
Replace Nitin Agarwal with:
Nitin Agarwal United States
Samuel K. Cho United States
Jonas Ranstam Sweden
Bin Zhang China
Jonathan L. Schaffer United States
Michalis V. Karamouzis Greece
Ming Li China
Andreas Dietz Germany
Sanziana A. Roman United States
Wing P. Chan Taiwan
Nitin Agarwal United States View profile →
Citations per field, relative to Jun Kim
Jun Kim · 1×
Citations per year, relative to Jun Kim
Jun Kim · 1×

Countries citing papers authored by Jun Kim

Since Specialization
Citations

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

Fields of papers citing papers by Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Kim

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Kim. A scholar is included among the top collaborators of Jun 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 Jun Kim. Jun Kim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
# Work Indexed citations
1 1
2 10
3 5
4 1
5 18
6 47
7 18
8 4
9 12
10 11
11 10
12 5
13 3
14 16
15 13
16 9
17 14
18 19
19 34
20 12

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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