J A Ontko
Impact in
- Biochemistry top 2%
- Lipid metabolism and biosynthesis
- Clinical Biochemistry top 2%
- Metabolism and Genetic Disorders
Papers in
-
- Peroxisome Proliferator-Activated Receptors 6
- Metabolomics and Mass Spectrometry Studies 5
- Physiology 11
- Diet and metabolism studies 7
- Adipose Tissue and Metabolism 7
- Co-authors
- Naoyuki Fukuda (5 shared papers)Takashi Ide (1 shared paper)M. J. Azain (4 shared papers)David A. Otto (1 shared paper)F F Chao (2 shared papers)Jim Kelley (1 shared paper)Nassrin Dashti (1 shared paper)Qi Cheng (2 shared papers)
- Journals
- Journal of Lipid Research (11 papers)Journal of Biological Chemistry (4 papers)Biochemical Journal (2 papers)Experimental Biology and Medicine (2 papers)American Journal of Clinical Nutrition (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
J A Ontko
25 papers receiving 981 citations
Peers
Comparison fields: 5 of 79
- Biochemistry 239
- Clinical Biochemistry 173
- Nutrition and Dietetics 243
- Endocrinology, Diabetes and Metabolism 225
- Physiology 321
Countries citing papers authored by J A Ontko
This map shows the geographic impact of J A Ontko'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 J A Ontko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J A Ontko more than expected).
Fields of papers citing papers by J A Ontko
This network shows the impact of papers produced by J A Ontko. 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 J A Ontko. The network helps show where J A Ontko may publish in the future.
Co-authors
The 25 scholars most cited alongside J A Ontko, 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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1981 | 137 | |
| 2 | 1997 | 105 | |
| 3 | 1982 | 95 | |
| 4 | 1984 | 85 | |
| 5 | 1983 | 84 | |
| 6 | 1980 | 66 | |
| 7 | 1985 | 62 | |
| 8 | 1978 | 60 | |
| 9 | 1987 | 46 | |
| 10 | 1984 | 42 | |
| 11 | 1968 | 40 | |
| 12 | 1990 | 34 | |
| 13 | 1988 | 28 | |
| 14 | 1966 | 26 | |
| 15 | 1985 | 21 | |
| 16 | 1990 | 18 | |
| 17 | 1992 | 17 | |
| 18 | 1990 | 17 | |
| 19 | 1967 | 11 | |
| 20 | 1989 | 9 |
About J A Ontko
J A Ontko is a scholar working on Molecular Biology, Physiology, Biochemistry, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Lipid metabolism and biosynthesis (10 papers), Diet, Metabolism, and Disease (8 papers), Diet and metabolism studies (7 papers), Adipose Tissue and Metabolism (7 papers), Peroxisome Proliferator-Activated Receptors (6 papers), Metabolism and Genetic Disorders (5 papers), Fatty Acid Research and Health (5 papers) and Metabolomics and Mass Spectrometry Studies (5 papers). The work is most often cited by research in Biochemistry (239 citations), Clinical Biochemistry (173 citations), Nutrition and Dietetics (243 citations), Endocrinology, Diabetes and Metabolism (225 citations) and Physiology (321 citations). J A Ontko has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Naoyuki Fukuda, Takashi Ide, M. J. Azain, David A. Otto, F F Chao, Jim Kelley, Nassrin Dashti, Qi Cheng, Rollin H. Thayer and Munehiko Yamamoto. Their work appears in journals such as Journal of Lipid Research, Journal of Biological Chemistry, Biochemical Journal, Experimental Biology and Medicine and American Journal of Clinical Nutrition.
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.