Soonhak Kwon

67 papers receiving 1.4k citations

Peers

Soonhak Kwon
Comparison fields: 5 of 100
  • Psychiatry and Mental health 748
  • Pediatrics, Perinatology and Child Health 78
  • Cognitive Neuroscience 113
  • Sensory Systems 24
  • Infectious Diseases 82
Replace M. R. Newton with:
M. R. Newton Australia
Michelle C. Kaku United States
Jinse Park South Korea
Eloy Martínez‐Heras Spain
Maria Laura Stromillo Italy
Gábor Rudas Hungary
Özgür Yaldizli Switzerland
Carmen Tur Spain
Mackenzie C. Cervenka United States
Christopher S. Coffey United States
Soonhak Kwon relative to M. R. Newton Australia M. R. Newton's profile →
Citations per field
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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 77 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008204
2 2001156
3 200782
4 200771
5 200670
6 200569
7 200461
8 201052
9 201047
10 201241
11 201740
12 200735
13 200732
14 201032
15 200531
16 201931
17 200730
18 201929
19 202027
20 201226

About Soonhak Kwon

Soonhak Kwon is a scholar working on Psychiatry and Mental health, Pediatrics, Perinatology and Child Health, Infectious Diseases, Genetics and Epidemiology, having authored 77 papers that have together received 1.5k indexed citations. Recurring topics across this work include Epilepsy research and treatment (27 papers), Infectious Encephalopathies and Encephalitis (6 papers), Cryptography and Residue Arithmetic (4 papers), Neurogenetic and Muscular Disorders Research (4 papers), Neonatal and fetal brain pathology (3 papers), Advanced Clustering Algorithms Research (2 papers), Pediatric Hepatobiliary Diseases and Treatments (2 papers) and Hepatitis B Virus Studies (2 papers). The work is most often cited by research in Psychiatry and Mental health (748 citations), Pediatrics, Perinatology and Child Health (78 citations), Cognitive Neuroscience (113 citations), Sensory Systems (24 citations) and Infectious Diseases (82 citations). Soonhak Kwon has collaborated with scholars based in South Korea, United States and Germany. Frequent co-authors include Sung-Pa Park, Chung-Kyu Suh, Yun Jeong Lee, Yang‐Ha Hwang, Byung‐Ho Choe, Su‐Kyeong Hwang, Ho‐Won Lee, Chun Pyo Hong, Jung-Mi Kim and Doo-Kyo Jung. 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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