Ji-Sun Kwak
Impact in
- Rheumatology top 2%
- Osteoarthritis Treatment and Mechanisms
- Rheumatoid Arthritis Research and Therapies
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
-
- Osteoarthritis Treatment and Mechanisms 7
-
- Fibroblast Growth Factor Research 2
- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Jang‐Soo Chun (12 shared papers)Churl Hong Chun (6 shared papers)Je‐Hwang Ryu (6 shared papers)Jin‐Hong Kim (4 shared papers)Gyuseok Lee (3 shared papers)Yoonkyung Won (3 shared papers)Jimin Jeon (2 shared papers)Minju Lee (2 shared papers)
- Journals
- Osteoarthritis and Cartilage (4 papers)PLoS Biology (1 paper)Experimental & Molecular Medicine (1 paper)Annals of the Rheumatic Diseases (1 paper)Nature Communications (1 paper)
- Partner nations
- South KoreaUnited KingdomPuerto Rico
In The Last Decade
Ji-Sun Kwak
12 papers receiving 958 citations
Ji-Sun Kwak's Hit Papers
Peers
Comparison fields: 5 of 90
- Rheumatology 496
- Cancer Research 203
- Pharmacology 211
- Nutrition and Dietetics 115
- Geriatrics and Gerontology 26
Countries citing papers authored by Ji-Sun Kwak
This map shows the geographic impact of Ji-Sun Kwak'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-Sun Kwak with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ji-Sun Kwak more than expected).
Fields of papers citing papers by Ji-Sun Kwak
This network shows the impact of papers produced by Ji-Sun Kwak. 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-Sun Kwak. The network helps show where Ji-Sun Kwak may publish in the future.
Co-authors
The 25 scholars most cited alongside Ji-Sun Kwak, 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 | Regulation of the Catabolic Cascade in Osteoarthritis by the Zinc-ZIP8-MTF1 Axis Hit paper breakdown → | 2014 | 299 |
| 2 | The CH25H–CYP7B1–RORα axis of cholesterol metabolism regulates osteoarthritis Hit paper breakdown → | 2019 | 235 |
| 3 | 2013 | 102 | |
| 4 | 2015 | 86 | |
| 5 | 2014 | 66 | |
| 6 | 2017 | 63 | |
| 7 | 2015 | 46 | |
| 8 | 2005 | 41 | |
| 9 | 2018 | 14 | |
| 10 | 2021 | 10 | |
| 11 | 2022 | 4 | |
| 12 | 2024 | 1 | |
| 13 | 2024 | 0 |
About Ji-Sun Kwak
Ji-Sun Kwak is a scholar working on Rheumatology, Molecular Biology, Pharmacology, Oncology and Genetics, having authored 13 papers that have together received 967 indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (7 papers), Inflammatory mediators and NSAID effects (4 papers), Cytokine Signaling Pathways and Interactions (3 papers), Pharmacological Effects of Medicinal Plants (2 papers), Cancer, Hypoxia, and Metabolism (2 papers), Trace Elements in Health (2 papers), Fibroblast Growth Factor Research (2 papers) and Peroxisome Proliferator-Activated Receptors (2 papers). The work is most often cited by research in Rheumatology (496 citations), Cancer Research (203 citations), Pharmacology (211 citations), Nutrition and Dietetics (115 citations) and Geriatrics and Gerontology (26 citations). Ji-Sun Kwak has collaborated with scholars based in South Korea, United Kingdom and Puerto Rico. Frequent co-authors include Jang‐Soo Chun, Churl Hong Chun, Je‐Hwang Ryu, Jin‐Hong Kim, Gyuseok Lee, Yoonkyung Won, Jimin Jeon, Minju Lee, Jinseol Rhee and Hwanhee Oh. Their work appears in journals such as Osteoarthritis and Cartilage, PLoS Biology, Experimental & Molecular Medicine, Annals of the Rheumatic Diseases and Nature Communications.
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.