Daniel Beiroa
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 5%
- Adipose Tissue and Metabolism
Papers in
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- Regulation of Appetite and Obesity 20
- Physiology 12
- Adipose Tissue and Metabolism 12
- Co-authors
- Rubén Nogueiras (26 shared papers)Carlos Diéguez (17 shared papers)M Laínez López (12 shared papers)Rosalı́a Gallego (6 shared papers)Johan Fernø (5 shared papers)Ana Senra (6 shared papers)Mónica Imbernón (1 shared paper)Javier Salvador (1 shared paper)
In The Last Decade
Daniel Beiroa
40 papers receiving 1.8k citations
Daniel Beiroa's Hit Papers
Peers
Comparison fields: 5 of 81
- Endocrine and Autonomic Systems 490
- Physiology 386
- Geriatrics and Gerontology 39
- Reproductive Medicine 113
- Endocrinology, Diabetes and Metabolism 159
Countries citing papers authored by Daniel Beiroa
This map shows the geographic impact of Daniel Beiroa'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 Daniel Beiroa with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Beiroa more than expected).
Fields of papers citing papers by Daniel Beiroa
This network shows the impact of papers produced by Daniel Beiroa. 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 Daniel Beiroa. The network helps show where Daniel Beiroa may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Beiroa, 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 | GLP-1 Agonism Stimulates Brown Adipose Tissue Thermogenesis and Browning Through Hypothalamic AMPK Hit paper breakdown → | 2014 | 522 |
| 2 | 2018 | 107 | |
| 3 | 2012 | 86 | |
| 4 | 2018 | 65 | |
| 5 | 2019 | 63 | |
| 6 | 2021 | 58 | |
| 7 | 2022 | 58 | |
| 8 | 2022 | 53 | |
| 9 | 2020 | 52 | |
| 10 | 2015 | 51 | |
| 11 | 2018 | 49 | |
| 12 | 2018 | 41 | |
| 13 | 2020 | 41 | |
| 14 | 2016 | 39 | |
| 15 | 2022 | 38 | |
| 16 | 2015 | 37 | |
| 17 | 2011 | 36 | |
| 18 | 2019 | 35 | |
| 19 | 2017 | 33 | |
| 20 | 2012 | 31 |
About Daniel Beiroa
Daniel Beiroa is a scholar working on Endocrine and Autonomic Systems, Physiology, Epidemiology, Geriatrics and Gerontology and Biochemistry, having authored 40 papers that have together received 1.8k indexed citations. Recurring topics across this work include Regulation of Appetite and Obesity (20 papers), Adipose Tissue and Metabolism (12 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Muscle Physiology and Disorders (3 papers), Liver Disease Diagnosis and Treatment (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Pancreatic function and diabetes (2 papers) and Sirtuins and Resveratrol in Medicine (2 papers). The work is most often cited by research in Endocrine and Autonomic Systems (490 citations), Physiology (386 citations), Geriatrics and Gerontology (39 citations), Reproductive Medicine (113 citations) and Endocrinology, Diabetes and Metabolism (159 citations). Daniel Beiroa has collaborated with scholars based in Spain, France and Norway. Frequent co-authors include Rubén Nogueiras, Carlos Diéguez, M Laínez López, Rosalı́a Gallego, Johan Fernø, Ana Senra, Mónica Imbernón, Javier Salvador, Francesc Villarroya and Manuel Serrano. Their work appears in journals such as Nature Communications, Diabetes, Nature Metabolism, Molecular Metabolism and Neuropharmacology.
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.