Soonhak Kwon

2.4k citations
97 papers · 1.6k · h-index 23

Impact in

Papers in

Soonhak Kwon

86 papers receiving 1.5k citations

Peers

Soonhak Kwon
Comparison fields: 5 of 136
  • Psychiatry and Mental health 770
  • Pediatrics, Perinatology and Child Health 519
  • Cellular and Molecular Neuroscience 239
  • Cognitive Neuroscience 224
  • Rheumatology 123
Replace Ling Liu with:
Ling Liu China
Elliott L. Mancall United States
F. Reed Murtagh United States
Yishan Luo Hong Kong
Canan Aykut Bingöl Türkiye
Howan Leung Hong Kong
Peter Chin United States
A. C. F. Colchester United Kingdom
Soonhak Kwon relative to Ling Liu China Ling Liu's profile →
Citations per field
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Ling Liu · 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 97 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008191
2 2001147
3 200776
4 200567
5 200664
6 200764
7 201049
8 200449
9 201043
10 201736
11 201236
12 200733
13 200331
14 200730
15 200429
16 201927
17 200727
18 201927
19 200526
20 202026

About Soonhak Kwon

Soonhak Kwon is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Artificial Intelligence, Computer Vision and Pattern Recognition and Molecular Biology, having authored 97 papers that have together received 1.6k indexed citations. Recurring topics across this work include Epilepsy research and treatment (28 papers), Pharmacological Effects and Toxicity Studies (18 papers), Neonatal and fetal brain pathology (7 papers), Neuroscience and Neuropharmacology Research (7 papers), Coding theory and cryptography (6 papers), Cryptography and Residue Arithmetic (6 papers), Infectious Encephalopathies and Encephalitis (5 papers) and Medical Image Segmentation Techniques (4 papers). The work is most often cited by research in Psychiatry and Mental health (770 citations), Pediatrics, Perinatology and Child Health (519 citations), Cellular and Molecular Neuroscience (239 citations), Cognitive Neuroscience (224 citations) and Rheumatology (123 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, Byung‐Ho Choe, Yang‐Ha Hwang, 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 Journal of Pediatric Gastroenterology and Nutrition.

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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