Sergio Arrabal
Impact in
- Pharmacology top 5%
- Cannabis and Cannabinoid Research
- Endocrine and Autonomic Systems top 10%
Papers in
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- Cannabis and Cannabinoid Research 6
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- Adipose Tissue and Metabolism 4
- Diet and metabolism studies 2
- Co-authors
- Fernando Rodrı́guez de Fonseca (15 shared papers)Juan Suárez (12 shared papers)Antonia Serrano (13 shared papers)Patricia Rivera (12 shared papers)Francisco Javier Pavón (10 shared papers)Juan Decara (6 shared papers)Elena Baixerás (6 shared papers)Carlos Diéguez (3 shared papers)
- Journals
- Disease Models & Mechanisms (2 papers)Frontiers in Integrative Neuroscience (2 papers)Frontiers in Neuroanatomy (2 papers)PLoS ONE (2 papers)Acta Physiologica (1 paper)
- Partner nations
- SpainGermanyUnited Kingdom
In The Last Decade
Sergio Arrabal
15 papers receiving 463 citations
Peers
Comparison fields: 5 of 66
- Pharmacology 189
- Endocrine and Autonomic Systems 63
- Cellular and Molecular Neuroscience 128
- Biological Psychiatry 14
- Physiology 126
Countries citing papers authored by Sergio Arrabal
This map shows the geographic impact of Sergio Arrabal'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 Sergio Arrabal with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sergio Arrabal more than expected).
Fields of papers citing papers by Sergio Arrabal
This network shows the impact of papers produced by Sergio Arrabal. 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 Sergio Arrabal. The network helps show where Sergio Arrabal may publish in the future.
Co-authors
The 25 scholars most cited alongside Sergio Arrabal, 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 | 2016 | 100 | |
| 2 | 2013 | 54 | |
| 3 | 2017 | 44 | |
| 4 | 2014 | 42 | |
| 5 | 2015 | 42 | |
| 6 | 2016 | 37 | |
| 7 | 2015 | 26 | |
| 8 | 2014 | 25 | |
| 9 | 2014 | 18 | |
| 10 | 2014 | 18 | |
| 11 | 2017 | 16 | |
| 12 | 2019 | 16 | |
| 13 | 2014 | 12 | |
| 14 | 2018 | 10 | |
| 15 | 2016 | 9 |
About Sergio Arrabal
Sergio Arrabal is a scholar working on Pharmacology, Physiology, Surgery, Molecular Biology and Cellular and Molecular Neuroscience, having authored 15 papers that have together received 469 indexed citations. Recurring topics across this work include Cannabis and Cannabinoid Research (6 papers), Adipose Tissue and Metabolism (4 papers), Neuroscience and Neuropharmacology Research (4 papers), Pancreatic function and diabetes (3 papers), Fatty Acid Research and Health (3 papers), Peroxisome Proliferator-Activated Receptors (3 papers), Diet and metabolism studies (2 papers) and Adipokines, Inflammation, and Metabolic Diseases (2 papers). The work is most often cited by research in Pharmacology (189 citations), Endocrine and Autonomic Systems (63 citations), Cellular and Molecular Neuroscience (128 citations), Biological Psychiatry (14 citations) and Physiology (126 citations). Sergio Arrabal has collaborated with scholars based in Spain, Germany and United Kingdom. Frequent co-authors include Fernando Rodrı́guez de Fonseca, Juan Suárez, Antonia Serrano, Patricia Rivera, Francisco Javier Pavón, Juan Decara, Elena Baixerás, Carlos Diéguez, Rubén Nogueiras and Antonio Vargas. Their work appears in journals such as Disease Models & Mechanisms, Frontiers in Integrative Neuroscience, Frontiers in Neuroanatomy, PLoS ONE and Acta Physiologica.
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.