Ted Choi

640 citations
7 papers · 389 · h-index 6

Impact in

  • Genetics top 10%
    • Connective tissue disorders research
    • Animal Genetics and Reproduction
    • Genetic Associations and Epidemiology
    • Virus-based gene therapy research

Papers in

    • CRISPR and Genetic Engineering 3
    • Gene expression and cancer classification 2
    • Pluripotent Stem Cells Research 2
    • Epigenetics and DNA Methylation 1
    • Genetic Mapping and Diversity in Plants and Animals 2

Ted Choi

7 papers receiving 378 citations

Peers

Ted Choi
Comparison fields: 5 of 63
  • Genetics 213
  • Immunology and Allergy 30
  • Rheumatology 54
  • Molecular Biology 236
  • Cancer Research 27
Replace Lisette Nevarez with:
Lisette Nevarez United States
Thomas M. Merritt United States
M. A. Sukoyan Russia
Lynn S. Mirigian United States
Mehreen Hai United States
Shelly Oommen United Kingdom
Lucy Brunt United Kingdom
Ellen Sterrenburg Netherlands
Tomohiro Kohmoto Japan
Tiffany Y. K. Au Hong Kong
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Citations per field
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Citations per year

Countries citing papers authored by Ted Choi

Since Specialization
Citations

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

Fields of papers citing papers by Ted Choi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1988168
2 1991106
3 201365
4 202031
5 20169
6 20239
7 20251

About Ted Choi

Ted Choi is a scholar working on Molecular Biology, Genetics, Rheumatology, Immunology and Allergy and Biomedical Engineering, having authored 7 papers that have together received 389 indexed citations. Recurring topics across this work include CRISPR and Genetic Engineering (3 papers), Genetic Mapping and Diversity in Plants and Animals (2 papers), Gene expression and cancer classification (2 papers), Pluripotent Stem Cells Research (2 papers), Cell Adhesion Molecules Research (1 paper), Epigenetics and DNA Methylation (1 paper), Bone and Dental Protein Studies (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Genetics (213 citations), Immunology and Allergy (30 citations), Rheumatology (54 citations), Molecular Biology (236 citations) and Cancer Research (27 citations). Ted Choi has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include A Stacey, William G. Cole, Rudolf Jaenisch, John F. Bateman, Rudolf Jaenisch, Cornelia M. Gorman, Manley Huang, Chun Ye, Jae Hoon Sul and Eleazar Eskin. Their work appears in journals such as Cell Genomics, Cell stem cell, Molecular and Cellular Biology, G3 Genes Genomes Genetics and Nature.

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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