Cha Gon Lee

566 citations
35 papers · 353 · h-index 12

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
    • Congenital heart defects research 3
    • Epigenetics and DNA Methylation 3

Cha Gon Lee

31 papers receiving 299 citations

Peers

Cha Gon Lee
Comparison fields: 5 of 53
  • Clinical Biochemistry 66
  • Microbiology 30
  • Psychiatry and Mental health 72
  • Genetics 126
  • Pediatrics, Perinatology and Child Health 72
Replace Jehan Suleiman with:
Jehan Suleiman United Arab Emirates
Yukiko Mogami Japan
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Tommy Stödberg Sweden
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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 201424
4 201223
5 201220
6 201017
7 201216
8 201516
9
Clinical and genetic analysis of three Korean children with pyridoxine-dependent epilepsy.
201215
10 201614
11 201813
12 197013
13 201411
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 20165
20 20145

About Cha Gon Lee

Cha Gon Lee is a scholar working on Genetics, Molecular Biology, Surgery, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 35 papers that have together received 353 indexed citations. Recurring topics across this work include Genomic variations and chromosomal abnormalities (10 papers), Genomics and Rare Diseases (7 papers), Epilepsy research and treatment (4 papers), Genetics and Neurodevelopmental Disorders (4 papers), Genetic Syndromes and Imprinting (3 papers), Congenital heart defects research (3 papers), Epigenetics and DNA Methylation (3 papers) and Chromosomal and Genetic Variations (3 papers). The work is most often cited by research in Clinical Biochemistry (66 citations), Microbiology (30 citations), Psychiatry and Mental health (72 citations), Genetics (126 citations) and Pediatrics, Perinatology and Child Health (72 citations). Cha Gon Lee has collaborated with scholars based in South Korea and United States. Frequent co-authors include Jeehun Lee, Munhyang Lee, Hee Joon Yu, Sang‐Jin Park, Young Bae Sohn, Eun Yeon Joo, Shin-Young Yim, Hyun‐Seok Jin, Chang‐Seok Ki and Ji Hye Kim. Their work appears in journals such as Brain and Development, Korean Journal of Pediatrics, European Journal of Medical Genetics, PLoS ONE and American Journal of Medical Genetics Part B Neuropsychiatric Genetics.

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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