Cha Gon Lee

571 citations
35 papers · 358 · h-index 13

Impact in

Papers in

    • Genomic variations and chromosomal abnormalities 10
    • Genomics and Rare Diseases 7
    • Genetics and Neurodevelopmental Disorders 4
    • Genetic Syndromes and Imprinting 3
    • Epigenetics and DNA Methylation 3
    • Congenital heart defects research 2

Cha Gon Lee

32 papers receiving 304 citations

Peers

Cha Gon Lee
Comparison fields: 5 of 50
  • Clinical Biochemistry 45
  • Psychiatry and Mental health 58
  • Genetics 114
  • Microbiology 24
  • Pediatrics, Perinatology and Child Health 55
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Maya Thomas India
Manami Akasaka Japan
Mahmoud F. Elsaid Qatar
Muddathir H. Hamad Saudi Arabia
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Ji Yoon Han South Korea
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Citations per field
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Citations per year

Countries citing papers authored by Cha Gon Lee

Since Specialization
Citations

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

Fields of papers citing papers by Cha Gon Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cha Gon Lee. 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 Cha Gon Lee. The network helps show where Cha Gon Lee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201166
2 201826
3 201425
4 201223
5 201220
6 201017
7 201516
8 201216
9
Clinical and genetic analysis of three Korean children with pyridoxine-dependent epilepsy.
201215
10 201614
11 201813
12 197013
13 201412
14 201211
15 201310
16 20138
17
Coinheritance of Novel Mutations in SCN1A Causing GEFS+ and in KDM6A Causing Kabuki Syndrome in a Family.
20177
18 20176
19 20145
20 20235

About Cha Gon Lee

Cha Gon Lee is a scholar working on Genetics, Molecular Biology, Psychiatry and Mental health, Surgery and Pathology and Forensic Medicine, having authored 35 papers that have together received 358 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Genomics and Rare Diseases (7 papers), Genetics and Neurodevelopmental Disorders (4 papers), Epigenetics and DNA Methylation (3 papers), Epilepsy research and treatment (3 papers), Genetic Syndromes and Imprinting (3 papers), Congenital heart defects research (2 papers) and Prenatal Screening and Diagnostics (2 papers). The work is most often cited by research in Clinical Biochemistry (45 citations), Psychiatry and Mental health (58 citations), Genetics (114 citations), Microbiology (24 citations) and Pediatrics, Perinatology and Child Health (55 citations). Cha Gon Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Munhyang Lee, Jeehun Lee, Hee Joon Yu, Sang‐Jin Park, Young Bae Sohn, Bo Lyun Lee, Eun Yeon Joo, Shin-Young Yim, Chang‐Seok Ki and Hyun‐Seok Jin. Their work appears in journals such as Brain and Development, Korean Journal of Pediatrics, European Journal of Medical Genetics, PLoS ONE and Journal of Child Neurology.

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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