Sun Ju Lee
Impact in
-
- Multiple Sclerosis Research Studies
- Neurology top 10%
- Peripheral Neuropathies and Disorders
Papers in
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 5
- Liver Disease Diagnosis and Treatment 5
-
- Diabetes, Cardiovascular Risks, and Lipoproteins 3
- Diet, Metabolism, and Disease 3
- Co-authors
- Sun Ha Jee (25 shared papers)So‐Young Huh (1 shared paper)AeRan Joung (1 shared paper)Ho Jin Kim (1 shared paper)Su‐Hyun Kim (1 shared paper)Keum Ji Jung (9 shared papers)Heejin Kimm (10 shared papers)Ji Eun Yun (9 shared papers)
- Journals
- Epidemiology and Health (3 papers)PLoS ONE (2 papers)Circulation Journal (2 papers)Journal of Lipid and Atherosclerosis (1 paper)JAMA Neurology (1 paper)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sun Ju Lee
43 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 98
- Pathology and Forensic Medicine 257
- Neurology 192
- Rheumatology 141
- Epidemiology 253
- Urology 41
Countries citing papers authored by Sun Ju Lee
This map shows the geographic impact of Sun Ju 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 Sun Ju Lee with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sun Ju Lee more than expected).
Fields of papers citing papers by Sun Ju Lee
This network shows the impact of papers produced by Sun Ju 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 Sun Ju Lee. The network helps show where Sun Ju Lee may publish in the future.
Co-authors
The 25 scholars most cited alongside Sun Ju 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 45 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 236 | |
| 2 | 2010 | 120 | |
| 3 | 2016 | 100 | |
| 4 | 2019 | 56 | |
| 5 | 2014 | 41 | |
| 6 | 2008 | 39 | |
| 7 | 2018 | 37 | |
| 8 | 2010 | 36 | |
| 9 | 2017 | 33 | |
| 10 | 2017 | 33 | |
| 11 | 2021 | 32 | |
| 12 | 2012 | 30 | |
| 13 | 2009 | 26 | |
| 14 | 2009 | 23 | |
| 15 | 2019 | 21 | |
| 16 | 2010 | 21 | |
| 17 | 2019 | 19 | |
| 18 | 2011 | 18 | |
| 19 | 2017 | 17 | |
| 20 | 1988 | 17 |
About Sun Ju Lee
Sun Ju Lee is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism, Surgery, Cardiology and Cardiovascular Medicine and Pediatrics, Perinatology and Child Health, having authored 45 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (5 papers), Liver Disease Diagnosis and Treatment (5 papers), Nutrition, Health and Food Behavior (4 papers), Folate and B Vitamins Research (4 papers), Neonatal Health and Biochemistry (3 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers), Diet, Metabolism, and Disease (3 papers) and Alcohol Consumption and Health Effects (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (257 citations), Neurology (192 citations), Rheumatology (141 citations), Epidemiology (253 citations) and Urology (41 citations). Sun Ju Lee has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sun Ha Jee, So‐Young Huh, AeRan Joung, Ho Jin Kim, Su‐Hyun Kim, Keum Ji Jung, Heejin Kimm, Ji Eun Yun, Joung Hwan Back and Sunmi Lee. Their work appears in journals such as Epidemiology and Health, PLoS ONE, Circulation Journal, Journal of Lipid and Atherosclerosis and JAMA Neurology.
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.