Yeonghee Eun
Impact in
- Nephrology top 5%
- Gout, Hyperuricemia, Uric Acid
- Rheumatology top 10%
- Rheumatoid Arthritis Research and Therapies
- Spondyloarthritis Studies and Treatments
Papers in
- Rheumatology 15
- Rheumatoid Arthritis Research and Therapies 8
- Systemic Lupus Erythematosus Research 6
- Spondyloarthritis Studies and Treatments 4
- Nephrology 10
- Gout, Hyperuricemia, Uric Acid 9
- Co-authors
- Hyungjin Kim (26 shared papers)Jaejoon Lee (22 shared papers)Hoon‐Suk Cha (21 shared papers)In Young Kim (8 shared papers)Kyungdo Han (15 shared papers)Eun‐Mi Koh (17 shared papers)Dong Wook Shin (18 shared papers)Seulkee Lee (17 shared papers)
- Journals
- Scientific Reports (9 papers)Arthritis Research & Therapy (3 papers)Journal of Clinical Medicine (3 papers)RMD Open (2 papers)CHEST Journal (2 papers)
- Partner nations
- South Korea
In The Last Decade
Yeonghee Eun
35 papers receiving 604 citations
Peers
Comparison fields: 5 of 70
- Nephrology 100
- Rheumatology 142
- Oncology 141
- Hematology 38
- Immunology 67
Countries citing papers authored by Yeonghee Eun
This map shows the geographic impact of Yeonghee Eun'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 Yeonghee Eun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yeonghee Eun more than expected).
Fields of papers citing papers by Yeonghee Eun
This network shows the impact of papers produced by Yeonghee Eun. 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 Yeonghee Eun. The network helps show where Yeonghee Eun may publish in the future.
Co-authors
The 25 scholars most cited alongside Yeonghee Eun, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 150 | |
| 2 | 2023 | 48 | |
| 3 | 2019 | 43 | |
| 4 | 2021 | 35 | |
| 5 | 2020 | 30 | |
| 6 | 2020 | 28 | |
| 7 | 2021 | 25 | |
| 8 | 2023 | 24 | |
| 9 | 2024 | 24 | |
| 10 | 2024 | 21 | |
| 11 | 2020 | 20 | |
| 12 | 2022 | 20 | |
| 13 | 2021 | 19 | |
| 14 | 2019 | 15 | |
| 15 | 2022 | 14 | |
| 16 | 2024 | 12 | |
| 17 | 2021 | 11 | |
| 18 | 2022 | 10 | |
| 19 | 2022 | 8 | |
| 20 | 2020 | 6 |
About Yeonghee Eun
Yeonghee Eun is a scholar working on Rheumatology, Nephrology, Pathology and Forensic Medicine, Pulmonary and Respiratory Medicine and Epidemiology, having authored 39 papers that have together received 612 indexed citations. Recurring topics across this work include Gout, Hyperuricemia, Uric Acid (9 papers), Rheumatoid Arthritis Research and Therapies (8 papers), Systemic Lupus Erythematosus Research (6 papers), Spondyloarthritis Studies and Treatments (4 papers), Liver Disease Diagnosis and Treatment (4 papers), Alcohol Consumption and Health Effects (3 papers), Parkinson's Disease Mechanisms and Treatments (2 papers) and Vasculitis and related conditions (2 papers). The work is most often cited by research in Nephrology (100 citations), Rheumatology (142 citations), Oncology (141 citations), Hematology (38 citations) and Immunology (67 citations). Yeonghee Eun has collaborated with scholars based in South Korea. Frequent co-authors include Hyungjin Kim, Jaejoon Lee, Hoon‐Suk Cha, In Young Kim, Kyungdo Han, Eun‐Mi Koh, Dong Wook Shin, Seulkee Lee, Jong‐Mu Sun and Jeeyun Lee. Their work appears in journals such as Scientific Reports, Arthritis Research & Therapy, Journal of Clinical Medicine, RMD Open and CHEST Journal.
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.