Ji Eun Yun
Impact in
-
- Atrial Fibrillation Management and Outcomes
- Epidemiology top 5%
- Adipokines, Inflammation, and Metabolic Diseases
- Liver Disease Diagnosis and Treatment
Papers in
- Epidemiology 11
- Adipokines, Inflammation, and Metabolic Diseases 9
-
- Heme Oxygenase-1 and Carbon Monoxide 5
- Co-authors
- Sun Ha Jee (47 shared papers)Heejin Kimm (21 shared papers)Jaeseong Jo (8 shared papers)Jae Woong Sull (9 shared papers)Yangsoo Jang (4 shared papers)Eun Jung Park (5 shared papers)Sang‐Hak Lee (2 shared papers)Eo Rin Cho (3 shared papers)
- Journals
- Circulation Journal (4 papers)Journal of Korean Medical Science (2 papers)Atherosclerosis (2 papers)Stroke (2 papers)International Journal of Cancer (2 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Ji Eun Yun
61 papers receiving 1.8k citations
Peers
Comparison fields: 5 of 114
- Cardiology and Cardiovascular Medicine 321
- Epidemiology 379
- Internal Medicine 38
- Endocrinology, Diabetes and Metabolism 147
- Physiology 219
Countries citing papers authored by Ji Eun Yun
This map shows the geographic impact of Ji Eun Yun'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 Ji Eun Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji Eun Yun more than expected).
Fields of papers citing papers by Ji Eun Yun
This network shows the impact of papers produced by Ji Eun Yun. 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 Ji Eun Yun. The network helps show where Ji Eun Yun may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji Eun Yun, 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 64 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 162 | |
| 2 | 2009 | 154 | |
| 3 | 2012 | 133 | |
| 4 | 2010 | 121 | |
| 5 | 2010 | 82 | |
| 6 | 2017 | 78 | |
| 7 | 2018 | 74 | |
| 8 | 2007 | 60 | |
| 9 | 2009 | 57 | |
| 10 | 2011 | 55 | |
| 11 | 2003 | 53 | |
| 12 | 2019 | 50 | |
| 13 | 2008 | 48 | |
| 14 | 2010 | 47 | |
| 15 | 2008 | 39 | |
| 16 | 2012 | 36 | |
| 17 | 2013 | 35 | |
| 18 | 2013 | 32 | |
| 19 | 2006 | 32 | |
| 20 | 2020 | 32 |
About Ji Eun Yun
Ji Eun Yun is a scholar working on Epidemiology, Molecular Biology, Physiology, Oncology and Cardiology and Cardiovascular Medicine, having authored 64 papers that have together received 1.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (9 papers), Heme Oxygenase-1 and Carbon Monoxide (5 papers), Nutrition, Health and Food Behavior (4 papers), Health and Wellbeing Research (4 papers), Neonatal Health and Biochemistry (3 papers), Smoking Behavior and Cessation (3 papers), Nutrition and Health in Aging (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (321 citations), Epidemiology (379 citations), Internal Medicine (38 citations), Endocrinology, Diabetes and Metabolism (147 citations) and Physiology (219 citations). Ji Eun Yun has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Sun Ha Jee, Heejin Kimm, Jaeseong Jo, Jae Woong Sull, Yangsoo Jang, Eun Jung Park, Sang‐Hak Lee, Eo Rin Cho, Jonathan M. Samet and Heechoul Ohrr. Their work appears in journals such as Circulation Journal, Journal of Korean Medical Science, Atherosclerosis, Stroke and International Journal of Cancer.
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.