Soonhak Kwon

2.1k citations
85 papers · 1.5k · h-index 22

Impact in

Papers in

Soonhak Kwon

76 papers receiving 1.4k citations

Peers

Soonhak Kwon
Comparison fields: 5 of 119
  • Psychiatry and Mental health 697
  • Pediatrics, Perinatology and Child Health 331
  • Cellular and Molecular Neuroscience 169
  • Cognitive Neuroscience 161
  • Rheumatology 90
Replace Tomoyuki Akiyama with:
Tomoyuki Akiyama Japan
Sara Gasparini Italy
Steven L. Weinstein United States
Peter Chin United States
P F Prior United Kingdom
Hongbao Cao United States
P Pazzaglia Italy
Cecil D. Hahn Canada
Soonhak Kwon relative to Tomoyuki Akiyama Japan Tomoyuki Akiyama's profile →
Citations per field
00.5×1.5×
Tomoyuki Akiyama · 1×
Citations per year

Countries citing papers authored by Soonhak Kwon

Since Specialization
Citations

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

Fields of papers citing papers by Soonhak Kwon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Soonhak Kwon, 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 Soonhak Kwon Line = papers co-authored together Soonhak Kwon links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 85 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008200
2 2001155
3 200782
4 200773
5 200569
6 200668
7 200462
8 201053
9 201047
10 201738
11 201238
12 200735
13 201931
14 200731
15 201030
16 200729
17 200529
18 201928
19 201226
20 202026

About Soonhak Kwon

Soonhak Kwon is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Artificial Intelligence, Information Systems and Computer Vision and Pattern Recognition, having authored 85 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epilepsy research and treatment (25 papers), Pharmacological Effects and Toxicity Studies (10 papers), Cryptography and Residue Arithmetic (7 papers), Coding theory and cryptography (6 papers), Neurogenetic and Muscular Disorders Research (5 papers), Infectious Encephalopathies and Encephalitis (5 papers), Neuroscience and Neuropharmacology Research (4 papers) and Neonatal and fetal brain pathology (4 papers). The work is most often cited by research in Psychiatry and Mental health (697 citations), Pediatrics, Perinatology and Child Health (331 citations), Cellular and Molecular Neuroscience (169 citations), Cognitive Neuroscience (161 citations) and Rheumatology (90 citations). Soonhak Kwon has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Chung-Kyu Suh, Yun Jeong Lee, Yang‐Ha Hwang, Byung‐Ho Choe, Su‐Kyeong Hwang, Sung-Pa Park, Ho‐Won Lee, Chun Pyo Hong, Chang‐Hoon Kim and Sung-Pa Park. Their work appears in journals such as Korean Journal of Pediatrics, Journal of Korean Medical Science, Epilepsy & Behavior, Brain and Development and Pattern Recognition Letters.

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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