Ju Mi Lee
Impact in
- Nephrology top 10%
- Gout, Hyperuricemia, Uric Acid
-
- Diabetes, Cardiovascular Risks, and Lipoproteins
Papers in
-
- Mycobacterium research and diagnosis 7
- Respiratory viral infections research 1
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- Tuberculosis Research and Epidemiology 5
- Co-authors
- Hyeon Chang Kim (15 shared papers)Il Woo 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)Annals of Epidemiology (1 paper)Nutrients (1 paper)Nicotine & Tobacco Research (1 paper)
- Partner nations
- South KoreaUnited StatesNigeria
In The Last Decade
Ju Mi Lee
29 papers receiving 435 citations
Peers
Comparison fields: 5 of 79
- Nephrology 71
- Endocrinology, Diabetes and Metabolism 55
- Pathology and Forensic Medicine 49
- Epidemiology 83
- Experimental and Cognitive Psychology 26
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 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2012 | 63 | |
| 2 | 2014 | 42 | |
| 3 | 2012 | 33 | |
| 4 | 2016 | 33 | |
| 5 | 2017 | 28 | |
| 6 | 2017 | 20 | |
| 7 | 2018 | 20 | |
| 8 | 2016 | 18 | |
| 9 | 2021 | 18 | |
| 10 | 2014 | 15 | |
| 11 | 2020 | 13 | |
| 12 | 2016 | 13 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 12 | |
| 15 | 2022 | 11 | |
| 16 | 2009 | 11 | |
| 17 | 2022 | 10 | |
| 18 | 2015 | 10 | |
| 19 | 2017 | 10 | |
| 20 | 2017 | 9 |
About Ju Mi Lee
Ju Mi Lee is a scholar working on Epidemiology, Infectious Diseases, Nephrology, Hematology and Experimental and Cognitive Psychology, having authored 32 papers that have together received 446 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (5 papers), Vitamin D Research Studies (2 papers), Sleep and related disorders (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (1 paper), Respiratory viral infections research (1 paper) and Intracerebral and Subarachnoid Hemorrhage Research (1 paper). The work is most often cited by research in Nephrology (71 citations), Endocrinology, Diabetes and Metabolism (55 citations), Pathology and Forensic Medicine (49 citations), Epidemiology (83 citations) and Experimental and Cognitive Psychology (26 citations). Ju Mi Lee has collaborated with scholars based in South Korea, United States and Nigeria. Frequent co-authors include Hyeon Chang Kim, Il Woo Suh, Dong Phil Choi, Sun Min Oh, Hye Min Cho, Yumie Rhee, Chang Oh Kim, Yoosik Youm, Hyungseon Yeom and Kyoung Min Kim. Their work appears in journals such as Virulence, Archives of Gerontology and Geriatrics, Annals of Epidemiology, Nutrients and Nicotine & Tobacco Research.
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.