Daniel Beiroa
Impact in
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- Regulation of Appetite and Obesity
- Physiology top 5%
- Adipose Tissue and Metabolism
- Diet and metabolism studies
Papers in ⓘ
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- Regulation of Appetite and Obesity 13
- Physiology 18
- Adipose Tissue and Metabolism 15
- Diet and metabolism studies 6
- Co-authors
- Rubén Nogueiras (26 shared papers)Carlos Diéguez (19 shared papers)Miguel López (13 shared papers)Rosalı́a Gallego (6 shared papers)Johan Fernø (5 shared papers)Ana Senra (6 shared papers)Javier Escalada (1 shared paper)Gema Frühbeck (1 shared paper)
In The Last Decade
Daniel Beiroa
30 papers receiving 1.1k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Endocrine and Autonomic Systems 318
- Physiology 511
- Endocrinology, Diabetes and Metabolism 239
- Geriatrics and Gerontology 45
- Reproductive Medicine 93
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 30 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 | 476 |
| 2 | 2018 | 100 | |
| 3 | 2018 | 57 | |
| 4 | 2015 | 46 | |
| 5 | 2016 | 37 | |
| 6 | 2015 | 35 | |
| 7 | 2011 | 34 | |
| 8 | 2012 | 30 | |
| 9 | 2017 | 28 | |
| 10 | 2022 | 28 | |
| 11 | 2015 | 27 | |
| 12 | 2020 | 25 | |
| 13 | 2018 | 20 | |
| 14 | 2016 | 18 | |
| 15 | 2011 | 17 | |
| 16 | 2016 | 15 | |
| 17 | 2021 | 13 | |
| 18 | 2020 | 12 | |
| 19 | 2015 | 11 | |
| 20 | 2013 | 11 |
About Daniel Beiroa
Daniel Beiroa is a scholar working on Endocrine and Autonomic Systems, Physiology, Geriatrics and Gerontology, Endocrinology, Diabetes and Metabolism and Reproductive Medicine, having authored 30 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adipose Tissue and Metabolism (15 papers), Regulation of Appetite and Obesity (13 papers), Diet and metabolism studies (6 papers), Metabolism, Diabetes, and Cancer (4 papers), Diabetes Treatment and Management (4 papers), Adipokines, Inflammation, and Metabolic Diseases (4 papers), Pancreatic function and diabetes (3 papers) and Biochemical Analysis and Sensing Techniques (3 papers). The work is most often cited by research in Endocrine and Autonomic Systems (318 citations), Physiology (511 citations), Endocrinology, Diabetes and Metabolism (239 citations), Geriatrics and Gerontology (45 citations) and Reproductive Medicine (93 citations). Daniel Beiroa has collaborated with scholars based in Spain, Norway and Finland. Frequent co-authors include Rubén Nogueiras, Carlos Diéguez, Miguel López, Rosalı́a Gallego, Johan Fernø, Ana Senra, Javier Escalada, Gema Frühbeck, Daniel Herranz and Javier Salvador. Their work appears in journals such as Diabetes, Nature Communications, Molecular Therapy, Endocrinology and International Journal of Pharmaceutics.
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.