Jiyoon Ryu
Impact in
- Physiology top 10%
- Adipose Tissue and Metabolism
- Endocrine and Autonomic Systems top 10%
- Regulation of Appetite and Obesity
Papers in
-
- Metabolism, Diabetes, and Cancer 6
- Bone Metabolism and Diseases 6
- ATP Synthase and ATPases Research 2
- FOXO transcription factor regulation 2
- Sphingolipid Metabolism and Signaling 2
-
- Adipokines, Inflammation, and Metabolic Diseases 7
- Co-authors
- Hyung Joon Kim (6 shared papers)Hong‐Hee Kim (5 shared papers)Yoshiko Banno (1 shared paper)Eun-Ju Chang (1 shared paper)Hao Huang (1 shared paper)Lily Dong (11 shared papers)Feng Liu (8 shared papers)Lijun Zhou (3 shared papers)
- Journals
- Diabetologia (3 papers)Journal of Biological Chemistry (2 papers)Nature Medicine (1 paper)Diabetes (1 paper)Cell Reports (1 paper)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Jiyoon Ryu
19 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 88
- Physiology 253
- Endocrine and Autonomic Systems 65
- Epidemiology 316
- Molecular Biology 613
- Oncology 224
Countries citing papers authored by Jiyoon Ryu
This map shows the geographic impact of Jiyoon 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 Jiyoon Ryu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jiyoon Ryu more than expected).
Fields of papers citing papers by Jiyoon Ryu
This network shows the impact of papers produced by Jiyoon 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 Jiyoon Ryu. The network helps show where Jiyoon Ryu may publish in the future.
Co-authors
The 25 scholars most cited alongside Jiyoon 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 | 2006 | 244 | |
| 2 | 2009 | 178 | |
| 3 | 2014 | 104 | |
| 4 | 2006 | 96 | |
| 5 | 2008 | 94 | |
| 6 | 2013 | 82 | |
| 7 | 2011 | 62 | |
| 8 | 2007 | 37 | |
| 9 | 2021 | 35 | |
| 10 | 2005 | 33 | |
| 11 | 2012 | 23 | |
| 12 | 2013 | 20 | |
| 13 | 2010 | 16 | |
| 14 | 2023 | 15 | |
| 15 | 2019 | 14 | |
| 16 | 2005 | 11 | |
| 17 | 2018 | 11 | |
| 18 | 2022 | 7 | |
| 19 | 2024 | 2 |
About Jiyoon Ryu
Jiyoon Ryu is a scholar working on Molecular Biology, Epidemiology, Oncology, Physiology and Cancer Research, having authored 19 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (7 papers), Metabolism, Diabetes, and Cancer (6 papers), Bone Metabolism and Diseases (6 papers), Adipose Tissue and Metabolism (4 papers), Bone health and treatments (3 papers), ATP Synthase and ATPases Research (2 papers), FOXO transcription factor regulation (2 papers) and Sphingolipid Metabolism and Signaling (2 papers). The work is most often cited by research in Physiology (253 citations), Endocrine and Autonomic Systems (65 citations), Epidemiology (316 citations), Molecular Biology (613 citations) and Oncology (224 citations). Jiyoon Ryu has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Hyung Joon Kim, Hong‐Hee Kim, Yoshiko Banno, Eun-Ju Chang, Hao Huang, Lily Dong, Feng Liu, Lijun Zhou, Eun‐Ju Chang and Sathyaseelan S. Deepa. Their work appears in journals such as Diabetologia, Journal of Biological Chemistry, Nature Medicine, Diabetes and Cell 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.