Taesic Lee
Impact in
- Health Information Management top 10%
- Artificial Intelligence in Healthcare
Papers in
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- Diabetes, Cardiovascular Risks, and Lipoproteins 4
-
- Chronic Kidney Disease and Diabetes 3
- Co-authors
- Hyunju Lee (4 shared papers)Young Uh (11 shared papers)Juwon Kim (3 shared papers)Sangwon Hwang (8 shared papers)Jun Young Lee (3 shared papers)Seul Ki Han (1 shared paper)M. Kim (1 shared paper)Jong-Koo Kim (3 shared papers)
- Journals
- Scientific Reports (5 papers)Journal of Clinical Medicine (4 papers)International Journal of Environmental Research and Public Health (2 papers)Biomedicines (2 papers)Cells (2 papers)
- Partner nations
- South KoreaUnited StatesSweden
In The Last Decade
Taesic Lee
26 papers receiving 269 citations
Peers
Comparison fields: 5 of 72
- Health Informatics 5
- Health Information Management 14
- Neurology 23
- Nephrology 12
- Physiology 41
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 35 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 99 | |
| 2 | 2018 | 25 | |
| 3 | 2021 | 22 | |
| 4 | 2021 | 18 | |
| 5 | 2023 | 14 | |
| 6 | 2022 | 10 | |
| 7 | 2022 | 10 | |
| 8 | 2022 | 10 | |
| 9 | 2024 | 10 | |
| 10 | 2022 | 8 | |
| 11 | 2018 | 8 | |
| 12 | 2024 | 6 | |
| 13 | 2022 | 4 | |
| 14 | 2021 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2022 | 4 | |
| 17 | 2024 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2024 | 2 |
About Taesic Lee
Taesic Lee is a scholar working on Endocrinology, Diabetes and Metabolism, Nephrology, Obstetrics and Gynecology, Public Health, Environmental and Occupational Health and Epidemiology, having authored 35 papers that have together received 276 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers), Bioinformatics and Genomic Networks (4 papers), Chronic Kidney Disease and Diabetes (3 papers), Liver Disease Diagnosis and Treatment (3 papers), Pregnancy and Medication Impact (2 papers), Pregnancy and preeclampsia studies (2 papers), Gene expression and cancer classification (2 papers) and Nutrition and Health in Aging (2 papers). The work is most often cited by research in Health Informatics (5 citations), Health Information Management (14 citations), Neurology (23 citations), Nephrology (12 citations) and Physiology (41 citations). Taesic Lee has collaborated with scholars based in South Korea, United States and Sweden. Frequent co-authors include Hyunju Lee, Young Uh, Juwon Kim, Sangwon Hwang, Jun Young Lee, Seul Ki Han, M. Kim, Jong-Koo Kim, Myung-Bae Park and Tae‐Ha Chung. 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.