R. E. Patterson
Impact in
- Spectroscopy top 5%
- Mass Spectrometry Techniques and Applications
- Advanced Proteomics Techniques and Applications
- Analytical Chemistry and Chromatography
- Biochemistry top 10%
- Lipid metabolism and biosynthesis
Papers in
-
- Metabolomics and Mass Spectrometry Studies 6
-
- Adipose Tissue and Metabolism 2
- Diet and metabolism studies 2
- Co-authors
- Timothy J. Garrett (7 shared papers)Richard A. Yost (7 shared papers)Jeremy P. Koelmel (5 shared papers)Candice Z. Ulmer (4 shared papers)John A. Bowden (3 shared papers)Nicholas Kroeger (2 shared papers)Jason Cochran (2 shared papers)Chris Beecher (1 shared paper)
- Journals
- Journal of Animal Science (2 papers)BMC Bioinformatics (2 papers)Journal of the American Society for Mass Spectrometry (1 paper)American Journal of Physiology-Endocrinology and Metabolism (1 paper)Journal of Chromatography B (1 paper)
- Partner nations
- United StatesRussiaIsrael
In The Last Decade
R. E. Patterson
11 papers receiving 703 citations
Peers
Comparison fields: 5 of 100
- Spectroscopy 215
- Biochemistry 67
- Molecular Biology 467
- Epidemiology 153
- Endocrinology, Diabetes and Metabolism 71
Countries citing papers authored by R. E. Patterson
This map shows the geographic impact of R. E. Patterson'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 R. E. Patterson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites R. E. Patterson more than expected).
Fields of papers citing papers by R. E. Patterson
This network shows the impact of papers produced by R. E. Patterson. 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 R. E. Patterson. The network helps show where R. E. Patterson may publish in the future.
Co-authors
The 25 scholars most cited alongside R. E. Patterson, 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 | 2017 | 247 | |
| 2 | 2017 | 156 | |
| 3 | 2016 | 132 | |
| 4 | 2015 | 59 | |
| 5 | 2017 | 38 | |
| 6 | 2017 | 31 | |
| 7 | 2019 | 23 | |
| 8 | 2012 | 11 | |
| 9 | 1955 | 7 | |
| 10 | 1960 | 6 | |
| 11 | 1953 | 1 |
About R. E. Patterson
R. E. Patterson is a scholar working on Molecular Biology, Physiology, Spectroscopy, Epidemiology and Endocrinology, Diabetes and Metabolism, having authored 11 papers that have together received 711 indexed citations. Recurring topics across this work include Metabolomics and Mass Spectrometry Studies (6 papers), Advanced Proteomics Techniques and Applications (3 papers), Diet, Metabolism, and Disease (2 papers), Genetic and phenotypic traits in livestock (2 papers), Mass Spectrometry Techniques and Applications (2 papers), Adipose Tissue and Metabolism (2 papers), Liver Disease Diagnosis and Treatment (2 papers) and Diet and metabolism studies (2 papers). The work is most often cited by research in Spectroscopy (215 citations), Biochemistry (67 citations), Molecular Biology (467 citations), Epidemiology (153 citations) and Endocrinology, Diabetes and Metabolism (71 citations). R. E. Patterson has collaborated with scholars based in United States, Russia and Israel. Frequent co-authors include Timothy J. Garrett, Richard A. Yost, Jeremy P. Koelmel, Candice Z. Ulmer, John A. Bowden, Nicholas Kroeger, Jason Cochran, Chris Beecher, Danielle McDougall and Emily L. Gill. Their work appears in journals such as Journal of Animal Science, BMC Bioinformatics, Journal of the American Society for Mass Spectrometry, American Journal of Physiology-Endocrinology and Metabolism and Journal of Chromatography B.
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.