Gabriel Barrera
Impact in
Papers in
- Surgery 2
- Cholesterol and Lipid Metabolism 1
- Pancreatic function and diabetes 1
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- Peroxisome Proliferator-Activated Receptors 2
- Co-authors
- Peter A. Edwards (2 shared papers)Yanqiao Zhang (1 shared paper)Hans C. Lee (1 shared paper)Frank J. Gonzalez (1 shared paper)Timothy M. Willson (1 shared paper)Joy S. Frank (1 shared paper)Omar L. Francone (1 shared paper)Matthew A. Kennedy (1 shared paper)
- Journals
- Progress in Neuro-Psychopharmacology and Biological Psychiatry (1 paper)Proceedings of the National Academy of Sciences (1 paper)European Neuropsychopharmacology (1 paper)Cell Metabolism (1 paper)Revista de Metalurgia (1 paper)
- Partner nations
- United StatesMexicoArgentina
In The Last Decade
Gabriel Barrera
6 papers receiving 1.5k citations
Gabriel Barrera's Hit Papers
Peers
Comparison fields: 5 of 83
- Oncology 624
- Surgery 774
- Endocrinology, Diabetes and Metabolism 188
- Epidemiology 328
- Cancer Research 134
Countries citing papers authored by Gabriel Barrera
This map shows the geographic impact of Gabriel Barrera'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 Gabriel Barrera with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Barrera more than expected).
Fields of papers citing papers by Gabriel Barrera
This network shows the impact of papers produced by Gabriel Barrera. 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 Gabriel Barrera. The network helps show where Gabriel Barrera may publish in the future.
Co-authors
The 18 scholars most cited alongside Gabriel Barrera, 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 | Activation of the nuclear receptor FXR improves hyperglycemia and hyperlipidemia in diabetic mice Hit paper breakdown → | 2006 | 791 |
| 2 | ABCG1 has a critical role in mediating cholesterol efflux to HDL and preventing cellular lipid accumulation Hit paper breakdown → | 2005 | 711 |
| 3 | 2007 | 47 | |
| 4 | 2005 | 6 | |
| 5 | 2019 | 3 | |
| 6 | 2002 | 1 | |
| 7 | 2009 | 0 |
About Gabriel Barrera
Gabriel Barrera is a scholar working on Surgery, Molecular Biology, Oncology, Pathology and Forensic Medicine and Cellular and Molecular Neuroscience, having authored 7 papers that have together received 1.6k indexed citations. Recurring topics across this work include Peroxisome Proliferator-Activated Receptors (2 papers), Drug Transport and Resistance Mechanisms (2 papers), Cholesterol and Lipid Metabolism (1 paper), Neurotransmitter Receptor Influence on Behavior (1 paper), Neuroendocrine regulation and behavior (1 paper), Pancreatic function and diabetes (1 paper), Breast Lesions and Carcinomas (1 paper) and Metastasis and carcinoma case studies (1 paper). The work is most often cited by research in Oncology (624 citations), Surgery (774 citations), Endocrinology, Diabetes and Metabolism (188 citations), Epidemiology (328 citations) and Cancer Research (134 citations). Gabriel Barrera has collaborated with scholars based in United States, Mexico and Argentina. Frequent co-authors include Peter A. Edwards, Yanqiao Zhang, Hans C. Lee, Frank J. Gonzalez, Timothy M. Willson, Joy S. Frank, Omar L. Francone, Matthew A. Kennedy, Kotoka Nakamura and Michael C. Fishbein. Their work appears in journals such as Progress in Neuro-Psychopharmacology and Biological Psychiatry, Proceedings of the National Academy of Sciences, European Neuropsychopharmacology, Cell Metabolism and Revista de Metalurgia.
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.