Ted Choi
Impact in
- Genetics top 10%
- Connective tissue disorders research
- Animal Genetics and Reproduction
- Virus-based gene therapy research
- Genetic Associations and Epidemiology
Papers in
-
- CRISPR and Genetic Engineering 3
- Pluripotent Stem Cells Research 2
- Gene expression and cancer classification 2
- RNA and protein synthesis mechanisms 1
- Genetics 4
- Genetic Mapping and Diversity in Plants and Animals 2
- Genetic Associations and Epidemiology 1
- Connective tissue disorders research 1
- Co-authors
- A Stacey (1 shared paper)John F. Bateman (1 shared paper)William G. Cole (1 shared paper)Rudolf Jaenisch (1 shared paper)Cornelia M. Gorman (1 shared paper)Manley Huang (1 shared paper)Buhm Han (1 shared paper)Jae Hoon Sul (1 shared paper)
- Journals
- Cell stem cell (1 paper)Cell Genomics (1 paper)Nature (1 paper)International Journal of Cardiology (1 paper)PLoS Genetics (1 paper)
- Partner nations
- United StatesGermanyAustralia
In The Last Decade
Ted Choi
6 papers receiving 376 citations
Peers
Comparison fields: 5 of 65
- Genetics 216
- Immunology and Allergy 31
- Molecular Biology 252
- Rheumatology 55
- Cancer Research 29
Countries citing papers authored by Ted Choi
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 1988 | 168 | |
| 2 | 1991 | 107 | |
| 3 | 2013 | 66 | |
| 4 | 2020 | 31 | |
| 5 | 2016 | 9 | |
| 6 | 2023 | 8 | |
| 7 | 2025 | 0 |
About Ted Choi
Ted Choi is a scholar working on Molecular Biology, Genetics, Cardiology and Cardiovascular Medicine, Rheumatology and Radiology, Nuclear Medicine and Imaging, 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), Pluripotent Stem Cells Research (2 papers), Gene expression and cancer classification (2 papers), Genetic Associations and Epidemiology (1 paper), Connective tissue disorders research (1 paper), Bone and Dental Protein Studies (1 paper) and RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Genetics (216 citations), Immunology and Allergy (31 citations), Molecular Biology (252 citations), Rheumatology (55 citations) and Cancer Research (29 citations). Ted Choi has collaborated with scholars based in United States, Germany and Australia. Frequent co-authors include A Stacey, John F. Bateman, William G. Cole, Rudolf Jaenisch, Cornelia M. Gorman, Manley Huang, Rudolf Jaenisch, Buhm Han, Jae Hoon Sul and Eleazar Eskin. Their work appears in journals such as Cell stem cell, Cell Genomics, Nature, International Journal of Cardiology and PLoS 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.