Eun‐Sun Ryu
Impact in
- Nephrology top 2%
- Gout, Hyperuricemia, Uric Acid
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Acute Kidney Injury Research
- Renal Diseases and Glomerulopathies
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- TGF-β signaling in diseases
- Inflammasome and immune disorders
Papers in
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- Dialysis and Renal Disease Management 4
- Gout, Hyperuricemia, Uric Acid 2
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- Endoplasmic Reticulum Stress and Disease 1
- Co-authors
- Duk-Hee Kang (8 shared papers)Hyun-Soo Shin (4 shared papers)Hack Sun Choi (3 shared papers)Richard J. Johnson (2 shared papers)Mi Jin Kim (1 shared paper)Inho Jo (1 shared paper)Eok‐Soo Oh (3 shared papers)Yong-Lim Kim (2 shared papers)
- Journals
- Nephrology Dialysis Transplantation (2 papers)Laboratory Investigation (2 papers)The FASEB Journal (2 papers)American Journal of Physiology-Renal Physiology (1 paper)Scientific Reports (1 paper)
- Partner nations
- South KoreaUnited StatesPoland
In The Last Decade
Eun‐Sun Ryu
8 papers receiving 504 citations
Peers
Comparison fields: 5 of 60
- Nephrology 315
- Molecular Biology 95
- Cell Biology 19
- Cancer Research 14
- Physiology 23
Countries citing papers authored by Eun‐Sun Ryu
This map shows the geographic impact of Eun‐Sun Ryu'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 Eun‐Sun Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eun‐Sun Ryu more than expected).
Fields of papers citing papers by Eun‐Sun Ryu
This network shows the impact of papers produced by Eun‐Sun Ryu. 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 Eun‐Sun Ryu. The network helps show where Eun‐Sun Ryu may publish in the future.
Co-authors
The 24 scholars most cited alongside Eun‐Sun Ryu, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 225 | |
| 2 | 2019 | 71 | |
| 3 | 2012 | 65 | |
| 4 | 2017 | 64 | |
| 5 | 2018 | 38 | |
| 6 | 2015 | 34 | |
| 7 | Tannic acid attenuates the formation of cancer stem cells by inhibiting NF-κB-mediated phenotype transition of breast cancer cells. | 2019 | 17 |
| 8 | 2014 | 1 | |
| 9 | GLOBOTRIAOSYLCERAMIDE (Gb3)-INDUCED ENDOTHELIAL-TO-MESENCHYMALTRANSITION (Endo-MT) AS A NOVEL MECHANISM OF RENAL DAMAGE IN FABRY DISEASE | 2019 | 1 |
About Eun‐Sun Ryu
Eun‐Sun Ryu is a scholar working on Nephrology, Cell Biology, Molecular Biology, Oncology and Physiology, having authored 9 papers that have together received 516 indexed citations. Recurring topics across this work include Dialysis and Renal Disease Management (4 papers), TGF-β signaling in diseases (2 papers), Gout, Hyperuricemia, Uric Acid (2 papers), Lysosomal Storage Disorders Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Metabolism, Diabetes, and Cancer (1 paper), Inflammasome and immune disorders (1 paper) and Cancer Cells and Metastasis (1 paper). The work is most often cited by research in Nephrology (315 citations), Molecular Biology (95 citations), Cell Biology (19 citations), Cancer Research (14 citations) and Physiology (23 citations). Eun‐Sun Ryu has collaborated with scholars based in South Korea, United States and Poland. Frequent co-authors include Duk-Hee Kang, Hyun-Soo Shin, Hack Sun Choi, Richard J. Johnson, Mi Jin Kim, Inho Jo, Eok‐Soo Oh, Yong-Lim Kim, Hye‐Myung Ryu and Sun-Hee Park. Their work appears in journals such as Nephrology Dialysis Transplantation, Laboratory Investigation, The FASEB Journal, American Journal of Physiology-Renal Physiology and Scientific Reports.
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.