Ted Kim
Impact in
- Speech and Hearing top 1%
- Dysphagia Assessment and Management
- Endocrinology top 10%
- Infections and bacterial resistance
Papers in
-
- CRISPR and Genetic Engineering 3
- Ecology 3
- Bacteriophages and microbial interactions 3
- Co-authors
- Jonathan E. Aviv (3 shared papers)Lanny Garth Close (3 shared papers)Beverly Diamond (2 shared papers)Ralph L. Sacco (2 shared papers)John H. Martin (1 shared paper)Rachel J. Whitaker (4 shared papers)Whitney England (1 shared paper)Joel W. Neal (2 shared papers)
- Journals
- mSystems (3 papers)Annals of Otology Rhinology & Laryngology (2 papers)Nature Medicine (1 paper)Nature (1 paper)Nature Ecology & Evolution (1 paper)
- Partner nations
- United StatesIsrael
In The Last Decade
Ted Kim
12 papers receiving 489 citations
Ted Kim's Hit Papers
Peers
Comparison fields: 5 of 76
- Speech and Hearing 221
- Endocrinology 66
- Health Informatics 9
- Gastroenterology 25
- Pulmonary and Respiratory Medicine 140
Countries citing papers authored by Ted Kim
This map shows the geographic impact of Ted Kim'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 Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ted Kim more than expected).
Fields of papers citing papers by Ted Kim
This network shows the impact of papers produced by Ted Kim. 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 Kim. The network helps show where Ted Kim may publish in the future.
Co-authors
The 25 scholars most cited alongside Ted Kim, 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 | 1998 | 137 | |
| 2 | 1999 | 96 | |
| 3 | 1998 | 81 | |
| 4 | A vision–language foundation model for precision oncology Hit paper breakdown → | 2025 | 74 |
| 5 | 2016 | 67 | |
| 6 | 2020 | 23 | |
| 7 | 2018 | 22 | |
| 8 | 2019 | 4 | |
| 9 | 2018 | 4 | |
| 10 | 2019 | 4 | |
| 11 | 2026 | 2 | |
| 12 | 2010 | 1 | |
| 13 | 2024 | 0 |
About Ted Kim
Ted Kim is a scholar working on Molecular Biology, Ecology, Speech and Hearing, Endocrinology and Psychiatry and Mental health, having authored 13 papers that have together received 515 indexed citations. Recurring topics across this work include Dysphagia Assessment and Management (3 papers), Child Nutrition and Feeding Issues (3 papers), Bacteriophages and microbial interactions (3 papers), CRISPR and Genetic Engineering (3 papers), Vibrio bacteria research studies (2 papers), Evolution and Genetic Dynamics (2 papers), Tracheal and airway disorders (2 papers) and Radiomics and Machine Learning in Medical Imaging (1 paper). The work is most often cited by research in Speech and Hearing (221 citations), Endocrinology (66 citations), Health Informatics (9 citations), Gastroenterology (25 citations) and Pulmonary and Respiratory Medicine (140 citations). Ted Kim has collaborated with scholars based in United States and Israel. Frequent co-authors include Jonathan E. Aviv, Lanny Garth Close, Beverly Diamond, Ralph L. Sacco, John H. Martin, Rachel J. Whitaker, Whitney England, Joel W. Neal, Xiaoming Zhang and Colin P. Bergstrom. Their work appears in journals such as mSystems, Annals of Otology Rhinology & Laryngology, Nature Medicine, Nature and Nature Ecology & Evolution.
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.