Da Young Oh
Impact in
- Biochemistry top 0.5%
- Eicosanoids and Hypertension Pharmacology
- Physiology top 1%
- Adipose Tissue and Metabolism
Papers in
-
- Hypothalamic control of reproductive hormones 8
- Co-authors
- Jerrold M. OlefskySaswata TalukdarPingping LiEun Ju BaeHidetaka MorinagaSteven M. WatkinsTakeshi ImamuraWuQiang Fan
- Journals
- Journal of Clinical Investigation (4 papers)Cell Metabolism (3 papers)Diabetes (3 papers)Cell (3 papers)Journal of Biological Chemistry (3 papers)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Da Young Oh
42 papers receiving 5.7k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Biochemistry 560
- Physiology 1.9k
- Nutrition and Dietetics 1.1k
- Geriatrics and Gerontology 275
- Epidemiology 1.9k
Countries citing papers authored by Da Young Oh
This map shows the geographic impact of Da Young 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 Da Young Oh with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da Young Oh more than expected).
Fields of papers citing papers by Da Young Oh
This network shows the impact of papers produced by Da Young 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 Da Young Oh. The network helps show where Da Young Oh may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Da Young 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
| # | Work | ||
|---|---|---|---|
| 1 | 2026 | 0 | |
| 2 | 2023 | 7 | |
| 3 | 2022 | 4 | |
| 4 | 2021 | 47 | |
| 5 | 2019 | 80 | |
| 6 | 2019 | 9 | |
| 7 | 2019 | 51 | |
| 8 | Increased Adipocyte O2 Consumption Triggers HIF-1α, Causing Inflammation and Insulin Resistance in Obesity Hit paper breakdown → | 2014 | 468 |
| 9 | 2013 | 7 | |
| 10 | 2013 | 136 | |
| 11 | 2012 | 77 | |
| 12 | 2012 | 42 | |
| 13 | 2011 | 287 | |
| 14 | 2011 | 76 | |
| 15 | GPR120 Is an Omega-3 Fatty Acid Receptor Mediating Potent Anti-inflammatory and Insulin-Sensitizing Effects Hit paper breakdown → | 2010 | 1921 |
| 16 | 2008 | 113 | |
| 17 | 2006 | 43 | |
| 18 | 2004 | 36 | |
| 19 | 2004 | 36 | |
| 20 | 2003 | 33 |
About Da Young Oh
Da Young Oh is a scholar working on Reproductive Medicine, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism, Physiology and Endocrine and Autonomic Systems, having authored 43 papers that have together received 5.8k indexed citations. Recurring topics across this work include Adipokines, Inflammation, and Metabolic Diseases (12 papers), Adipose Tissue and Metabolism (11 papers), Receptor Mechanisms and Signaling (10 papers), Hypothalamic control of reproductive hormones (8 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Diabetes Treatment and Management (5 papers), Cholesterol and Lipid Metabolism (4 papers) and Immune cells in cancer (4 papers). The work is most often cited by research in Biochemistry (560 citations), Physiology (1.9k citations), Nutrition and Dietetics (1.1k citations), Geriatrics and Gerontology (275 citations) and Epidemiology (1.9k citations). Da Young Oh has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include Jerrold M. Olefsky, Saswata Talukdar, Pingping Li, Eun Ju Bae, Hidetaka Morinaga, Steven M. Watkins, Takeshi Imamura, WuQiang Fan, Wendell J. Lu and Gautam Bandyopadhyay. Their work appears in journals such as Journal of Clinical Investigation, Cell Metabolism, Diabetes, Cell and Journal of Biological Chemistry.
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.