Chun‐do Oh
Impact in
- Rheumatology top 0.5%
- Osteoarthritis Treatment and Mechanisms
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
-
- Protein Kinase Regulation and GTPase Signaling 6
- Ubiquitin and proteasome pathways 4
- Rheumatology 13
- Osteoarthritis Treatment and Mechanisms 13
- Co-authors
- Jang‐Soo Chun (13 shared papers)Shin‐Sung Kang (7 shared papers)Song Ja Kim (5 shared papers)Di Chen (9 shared papers)Tae‐Lin Huh (3 shared papers)Woo Keun Song (3 shared papers)Yung Joon Yoo (3 shared papers)Jung‐Won Ju (3 shared papers)
- Journals
- Journal of Biological Chemistry (8 papers)Scientific Reports (3 papers)IUBMB Life (2 papers)Genes (2 papers)PLoS ONE (2 papers)
- Partner nations
- United StatesSouth KoreaChina
In The Last Decade
Chun‐do Oh
39 papers receiving 2.3k citations
Chun‐do Oh's Hit Papers
Peers
Comparison fields: 5 of 105
- Rheumatology 927
- Immunology and Allergy 173
- Cancer Research 360
- Pharmacology 273
- Molecular Biology 1.0k
Countries citing papers authored by Chun‐do Oh
This map shows the geographic impact of Chun‐do Oh'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 Chun‐do Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun‐do Oh more than expected).
Fields of papers citing papers by Chun‐do Oh
This network shows the impact of papers produced by Chun‐do Oh. 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 Chun‐do Oh. The network helps show where Chun‐do Oh may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun‐do Oh, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Metformin limits osteoarthritis development and progression through activation of AMPK signalling Hit paper breakdown → | 2020 | 217 |
| 2 | 2002 | 215 | |
| 3 | 2000 | 198 | |
| 4 | 2002 | 150 | |
| 5 | 2003 | 136 | |
| 6 | 2002 | 134 | |
| 7 | 2009 | 104 | |
| 8 | 2000 | 94 | |
| 9 | 2014 | 90 | |
| 10 | 1999 | 87 | |
| 11 | 2014 | 87 | |
| 12 | 1998 | 87 | |
| 13 | 2010 | 83 | |
| 14 | 2017 | 72 | |
| 15 | 2002 | 55 | |
| 16 | 1999 | 54 | |
| 17 | 1999 | 49 | |
| 18 | 2000 | 48 | |
| 19 | 2015 | 33 | |
| 20 | 2016 | 33 |
About Chun‐do Oh
Chun‐do Oh is a scholar working on Molecular Biology, Rheumatology, Cancer Research, Pathology and Forensic Medicine and Immunology and Allergy, having authored 40 papers that have together received 2.3k indexed citations. Recurring topics across this work include Osteoarthritis Treatment and Mechanisms (13 papers), NF-κB Signaling Pathways (8 papers), Cell Adhesion Molecules Research (7 papers), Spine and Intervertebral Disc Pathology (7 papers), Protein Kinase Regulation and GTPase Signaling (6 papers), Ubiquitin and proteasome pathways (4 papers), Inflammatory mediators and NSAID effects (3 papers) and Temporomandibular Joint Disorders (3 papers). The work is most often cited by research in Rheumatology (927 citations), Immunology and Allergy (173 citations), Cancer Research (360 citations), Pharmacology (273 citations) and Molecular Biology (1.0k citations). Chun‐do Oh has collaborated with scholars based in United States, South Korea and China. Frequent co-authors include Jang‐Soo Chun, Shin‐Sung Kang, Song Ja Kim, Di Chen, Tae‐Lin Huh, Woo Keun Song, Yung Joon Yoo, Jung‐Won Ju, Hideyo Yasuda and Benoît De Crombrugghe. Their work appears in journals such as Journal of Biological Chemistry, Scientific Reports, IUBMB Life, Genes and PLoS ONE.
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.