Yul Ji
Impact in
- Aging top 5%
- Genetics, Aging, and Longevity in Model Organisms
- Biochemistry top 5%
- Lipid metabolism and biosynthesis
Papers in
- Physiology 12
- Adipose Tissue and Metabolism 12
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- Adipokines, Inflammation, and Metabolic Diseases 7
- Autophagy in Disease and Therapy 2
- Co-authors
- Jae Bum Kim (18 shared papers)Ji Seul Han (12 shared papers)Sung Sik Choe (9 shared papers)Yong Geun Jeon (11 shared papers)Jeu Park (7 shared papers)Jung Hyun Lee (4 shared papers)Kyung Cheul Shin (6 shared papers)Injae Hwang (3 shared papers)
- Journals
- Nature Communications (4 papers)Diabetes (4 papers)Molecular and Cellular Biology (3 papers)Proceedings of the National Academy of Sciences (2 papers)The FASEB Journal (1 paper)
- Partner nations
- South KoreaArmeniaUnited Kingdom
In The Last Decade
Yul Ji
18 papers receiving 607 citations
Peers
Comparison fields: 5 of 77
- Aging 56
- Biochemistry 112
- Physiology 245
- Epidemiology 158
- Biological Psychiatry 11
Countries citing papers authored by Yul Ji
This map shows the geographic impact of Yul Ji'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 Yul Ji with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yul Ji more than expected).
Fields of papers citing papers by Yul Ji
This network shows the impact of papers produced by Yul Ji. 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 Yul Ji. The network helps show where Yul Ji may publish in the future.
Co-authors
The 25 scholars most cited alongside Yul Ji, 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 | 2022 | 85 | |
| 2 | 2020 | 80 | |
| 3 | 2017 | 74 | |
| 4 | 2014 | 68 | |
| 5 | 2019 | 65 | |
| 6 | 2019 | 36 | |
| 7 | 2018 | 33 | |
| 8 | 2021 | 32 | |
| 9 | 2019 | 25 | |
| 10 | 2024 | 24 | |
| 11 | 2018 | 21 | |
| 12 | 2016 | 15 | |
| 13 | 2021 | 14 | |
| 14 | 2020 | 13 | |
| 15 | 2022 | 10 | |
| 16 | 2024 | 9 | |
| 17 | 2024 | 4 | |
| 18 | 2017 | 2 |
About Yul Ji
Yul Ji is a scholar working on Physiology, Epidemiology, Biochemistry, Molecular Biology and Surgery, having authored 18 papers that have together received 610 indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (12 papers), Lipid metabolism and biosynthesis (9 papers), Adipokines, Inflammation, and Metabolic Diseases (7 papers), Pancreatic function and diabetes (3 papers), Exercise and Physiological Responses (3 papers), Autophagy in Disease and Therapy (2 papers), Peroxisome Proliferator-Activated Receptors (1 paper) and Biomedical Research and Pathophysiology (1 paper). The work is most often cited by research in Aging (56 citations), Biochemistry (112 citations), Physiology (245 citations), Epidemiology (158 citations) and Biological Psychiatry (11 citations). Yul Ji has collaborated with scholars based in South Korea, Armenia and United Kingdom. Frequent co-authors include Jae Bum Kim, Ji Seul Han, Sung Sik Choe, Yong Geun Jeon, Jeu Park, Jung Hyun Lee, Kyung Cheul Shin, Injae Hwang, Hahn Nahmgoong and Jee Hyung Sohn. Their work appears in journals such as Nature Communications, Diabetes, Molecular and Cellular Biology, Proceedings of the National Academy of Sciences and The FASEB 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.