Ju Mi Lee
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
- Epidemiology 14
- Mycobacterium research and diagnosis 6
- Liver Disease Diagnosis and Treatment 4
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- Tuberculosis Research and Epidemiology 6
- Co-authors
- Hyeon Chang Kim (15 shared papers)Il Suh (9 shared papers)Dong Phil Choi (5 shared papers)Sun Min Oh (3 shared papers)Hye Min Cho (3 shared papers)Yumie Rhee (5 shared papers)Chang Oh Kim (4 shared papers)Yoosik Youm (3 shared papers)
- Journals
- Virulence (2 papers)Archives of Gerontology and Geriatrics (2 papers)Scientific Reports (1 paper)Medicine (1 paper)Chromatographia (1 paper)
- Partner nations
- South KoreaUnited StatesTaiwan
In The Last Decade
Ju Mi Lee
29 papers receiving 390 citations
Peers
Comparison fields: 5 of 90
- Nephrology 66
- Endocrinology, Diabetes and Metabolism 86
- Pathology and Forensic Medicine 77
- Epidemiology 109
- Behavioral Neuroscience 11
Countries citing papers authored by Ju Mi Lee
This map shows the geographic impact of Ju Mi 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 Ju Mi Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ju Mi Lee more than expected).
Fields of papers citing papers by Ju Mi Lee
This network shows the impact of papers produced by Ju Mi 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 Ju Mi Lee. The network helps show where Ju Mi Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Ju Mi 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 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 59 | |
| 2 | 2014 | 41 | |
| 3 | 2012 | 32 | |
| 4 | 2016 | 30 | |
| 5 | 2017 | 26 | |
| 6 | 2017 | 19 | |
| 7 | 2018 | 19 | |
| 8 | 2014 | 16 | |
| 9 | 2016 | 15 | |
| 10 | 2021 | 13 | |
| 11 | 2016 | 13 | |
| 12 | 2018 | 11 | |
| 13 | 2015 | 10 | |
| 14 | 2017 | 10 | |
| 15 | 2014 | 10 | |
| 16 | 2022 | 9 | |
| 17 | 2022 | 9 | |
| 18 | 2020 | 9 | |
| 19 | 2017 | 9 | |
| 20 | 2009 | 9 |
About Ju Mi Lee
Ju Mi Lee is a scholar working on Epidemiology, Infectious Diseases, Endocrinology, Diabetes and Metabolism, Pathology and Forensic Medicine and Molecular Biology, having authored 29 papers that have together received 403 indexed citations. Recurring topics across this work include Tuberculosis Research and Epidemiology (6 papers), Mycobacterium research and diagnosis (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Liver Disease Diagnosis and Treatment (4 papers), Blood Pressure and Hypertension Studies (3 papers), Alcohol Consumption and Health Effects (3 papers), Nutritional Studies and Diet (3 papers) and Vitamin D Research Studies (2 papers). The work is most often cited by research in Nephrology (66 citations), Endocrinology, Diabetes and Metabolism (86 citations), Pathology and Forensic Medicine (77 citations), Epidemiology (109 citations) and Behavioral Neuroscience (11 citations). Ju Mi Lee has collaborated with scholars based in South Korea, United States and Taiwan. Frequent co-authors include Hyeon Chang Kim, Il Suh, Dong Phil Choi, Sun Min Oh, Hye Min Cho, Yumie Rhee, Chang Oh Kim, Yoosik Youm, Kyoung Min Kim and Hyungseon Yeom. Their work appears in journals such as Virulence, Archives of Gerontology and Geriatrics, Scientific Reports, Medicine and Chromatographia.
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.