F. J. Bolaños
Impact in
- Health Informatics top 10%
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- Neurotransmitter Receptor Influence on Behavior
- Neuroscience and Neuropharmacology Research
Papers in
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- Neuroscience and Neuropharmacology Research 4
- Neurotransmitter Receptor Influence on Behavior 2
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- Receptor Mechanisms and Signaling 2
- Ion channel regulation and function 1
- Co-authors
- M. Hamon (4 shared papers)H. Gozlan (4 shared papers)Lee E. Schechter (4 shared papers)Angelo A. Salatino (1 shared paper)Francesco Osborne (1 shared paper)Enrico Motta (1 shared paper)Anne‐Marie Laporte (2 shared papers)Laurence Lanfumey (1 shared paper)
- Journals
- Journal of Neurochemistry (1 paper)Biochemical Pharmacology (1 paper)European Journal of Pharmacology (1 paper)Artificial Intelligence Review (1 paper)Journal of Pharmacology and Experimental Therapeutics (1 paper)
- Partner nations
- FranceItalyUnited Kingdom
In The Last Decade
F. J. Bolaños
5 papers receiving 280 citations
F. J. Bolaños's Hit Papers
Peers
Comparison fields: 5 of 80
- Health Informatics 13
- Cellular and Molecular Neuroscience 167
- Behavioral Neuroscience 14
- Molecular Biology 144
- Pharmacology 24
Countries citing papers authored by F. J. Bolaños
This map shows the geographic impact of F. J. Bolaños'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 F. J. Bolaños with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites F. J. Bolaños more than expected).
Fields of papers citing papers by F. J. Bolaños
This network shows the impact of papers produced by F. J. Bolaños. 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 F. J. Bolaños. The network helps show where F. J. Bolaños may publish in the future.
Co-authors
The 14 scholars most cited alongside F. J. Bolaños, 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 | 1990 | 120 | |
| 2 | Artificial intelligence for literature reviews: opportunities and challenges Hit paper breakdown → | 2024 | 76 |
| 3 | 1990 | 62 | |
| 4 | 1990 | 22 | |
| 5 | 1991 | 14 |
About F. J. Bolaños
F. J. Bolaños is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Oncology, Artificial Intelligence and Pharmacology, having authored 5 papers that have together received 294 indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (4 papers), Receptor Mechanisms and Signaling (2 papers), Neurotransmitter Receptor Influence on Behavior (2 papers), Ion channel regulation and function (1 paper), Topic Modeling (1 paper), Meta-analysis and systematic reviews (1 paper), Cancer Treatment and Pharmacology (1 paper) and Explainable Artificial Intelligence (XAI) (1 paper). The work is most often cited by research in Health Informatics (13 citations), Cellular and Molecular Neuroscience (167 citations), Behavioral Neuroscience (14 citations), Molecular Biology (144 citations) and Pharmacology (24 citations). F. J. Bolaños has collaborated with scholars based in France, Italy and United Kingdom. Frequent co-authors include M. Hamon, H. Gozlan, Lee E. Schechter, Angelo A. Salatino, Francesco Osborne, Enrico Motta, Anne‐Marie Laporte, Laurence Lanfumey, C M Fattaccini and Samir Haj‐Dahmane. Their work appears in journals such as Journal of Neurochemistry, Biochemical Pharmacology, European Journal of Pharmacology, Artificial Intelligence Review and Journal of Pharmacology and Experimental Therapeutics.
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.