Sun Jun Kim

929 citations
62 papers · 683 · h-index 13

Impact in

Papers in

Sun Jun Kim

57 papers receiving 665 citations

Peers

Sun Jun Kim
Comparison fields: 5 of 102
  • Immunology 202
  • Psychiatry and Mental health 129
  • Pediatrics, Perinatology and Child Health 100
  • Endocrinology, Diabetes and Metabolism 64
  • Rheumatology 53
Replace Kazuyoshi Watanabe with:
Kazuyoshi Watanabe Japan
Keith Byron Australia
Chun-Xiao Sun United States
Edward A. Ganio United States
Andreia Bettencourt Portugal
David Hutchings United Kingdom
Daniela Benedetto Italy
Melanie Grimm Germany
Evelyn Peelen Netherlands
Sun Jun Kim relative to Kazuyoshi Watanabe Japan Kazuyoshi Watanabe's profile →
Citations per field
00.5×5.6×
Kazuyoshi Watanabe · 1×
Citations per year

Countries citing papers authored by Sun Jun Kim

Since Specialization
Citations

This map shows the geographic impact of Sun 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 Sun 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 Sun Jun Kim more than expected).

Fields of papers citing papers by Sun Jun Kim

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Sun Jun Kim, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Sun Jun Kim Line = papers co-authored together Sun Jun Kim links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002239
2 199948
3 201226
4 200026
5 202026
6 200321
7 201518
8 201617
9 200517
10 200215
11 200515
12 200914
13 201712
14 201811
15 201411
16 201811
17 200711
18 201410
19 200610
20 201710

About Sun Jun Kim

Sun Jun Kim is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Pulmonary and Respiratory Medicine, Surgery and Genetics, having authored 62 papers that have together received 683 indexed citations. Recurring topics across this work include Epilepsy research and treatment (20 papers), Pharmacological Effects and Toxicity Studies (11 papers), Genetics and Neurodevelopmental Disorders (5 papers), Language Development and Disorders (5 papers), Infectious Encephalopathies and Encephalitis (4 papers), Neonatal and fetal brain pathology (2 papers), Infant Development and Preterm Care (2 papers) and Pharmaceutical studies and practices (2 papers). The work is most often cited by research in Immunology (202 citations), Psychiatry and Mental health (129 citations), Pediatrics, Perinatology and Child Health (100 citations), Endocrinology, Diabetes and Metabolism (64 citations) and Rheumatology (53 citations). Sun Jun Kim has collaborated with scholars based in South Korea, United States and Slovakia. Frequent co-authors include Xiaojing Ma, Keith B. Elkon, Nathan Brot, Dae Yeol Lee, Yong Chul Lee, Soon Chul Kim, Jin Kyu Kim, Pyoung Han Hwang, Seong‐Hun Kim and Dae‐Yeol Lee. Their work appears in journals such as Korean Journal of Pediatrics, Medicine, Pediatric Neurology, Epilepsy & Behavior and Journal of Korean Medical Science.

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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