Taesic Lee
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 6
- Co-authors
- Hyunju Lee (5 shared papers)Young Uh (12 shared papers)Juwon Kim (4 shared papers)Yon Chul Park (4 shared papers)Jun Young Lee (3 shared papers)Myung-Bae Park (5 shared papers)Moon Young Kim (1 shared paper)Seul Ki Han (1 shared paper)
- Journals
- Scientific Reports (7 papers)Journal of Clinical Medicine (3 papers)International Journal of Environmental Research and Public Health (2 papers)Biomedicines (2 papers)Cells (2 papers)
- Partner nations
- South KoreaUnited StatesSwitzerland
In The Last Decade
Taesic Lee
31 papers receiving 280 citations
Peers
Comparison fields: 5 of 82
- Health Informatics 6
- Health Information Management 16
- Neurology 26
- Physiology 76
- Obstetrics and Gynecology 18
Countries citing papers authored by Taesic Lee
This map shows the geographic impact of Taesic 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 Taesic Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Taesic Lee more than expected).
Fields of papers citing papers by Taesic Lee
This network shows the impact of papers produced by Taesic 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 Taesic Lee. The network helps show where Taesic Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Taesic Lee, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 88 | |
| 2 | 2018 | 24 | |
| 3 | 2016 | 22 | |
| 4 | 2021 | 21 | |
| 5 | 2021 | 15 | |
| 6 | 2023 | 11 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 9 | |
| 9 | 2022 | 9 | |
| 10 | 2022 | 8 | |
| 11 | 2024 | 8 | |
| 12 | 2018 | 7 | |
| 13 | 2022 | 6 | |
| 14 | 2017 | 5 | |
| 15 | 2021 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2022 | 4 | |
| 18 | 2021 | 4 | |
| 19 | 2024 | 3 | |
| 20 | 2023 | 3 |
About Taesic Lee
Taesic Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Physiology, Public Health, Environmental and Occupational Health, Molecular Biology and Pulmonary and Respiratory Medicine, having authored 41 papers that have together received 285 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers), Liver Disease Diagnosis and Treatment (5 papers), Bioinformatics and Genomic Networks (4 papers), Blood Pressure and Hypertension Studies (3 papers), Pregnancy and Medication Impact (3 papers), Gestational Diabetes Research and Management (3 papers), Nutritional Studies and Diet (3 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Health Informatics (6 citations), Health Information Management (16 citations), Neurology (26 citations), Physiology (76 citations) and Obstetrics and Gynecology (18 citations). Taesic Lee has collaborated with scholars based in South Korea, United States and Switzerland. Frequent co-authors include Hyunju Lee, Young Uh, Juwon Kim, Yon Chul Park, Jun Young Lee, Myung-Bae Park, Moon Young Kim, Seul Ki Han, Jinhee Lee and Do Hoon Lee. Their work appears in journals such as Scientific Reports, Journal of Clinical Medicine, International Journal of Environmental Research and Public Health, Biomedicines and Cells.
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.