Rafael Luján
Impact in
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research
- Neurotransmitter Receptor Influence on Behavior
- Photoreceptor and optogenetics research
- Developmental Neuroscience top 0.5%
Papers in
-
- Neuroscience and Neuropharmacology Research 133
- Neurotransmitter Receptor Influence on Behavior 16
- Neurology 29
- Neuroinflammation and Neurodegeneration Mechanisms 25
- Co-authors
- Péter SomogyiRyuichi ShigemotoJ. David B. RobertsZoltán NusserMasahiko WatanabeGuillermina López‐BenditoKevin WickmanEberhard H. Buhl
- Journals
- Journal of Neuroscience (19 papers)European Journal of Neuroscience (15 papers)Neuron (12 papers)Journal of Neurochemistry (10 papers)Nature Neuroscience (7 papers)
- Partner nations
- SpainUnited StatesJapan
In The Last Decade
Rafael Luján
180 papers receiving 12.7k citations
Hit Papers
Peers
Comparison fields: 5 of 136
- Cellular and Molecular Neuroscience 9.6k
- Developmental Neuroscience 818
- Cognitive Neuroscience 3.5k
- Physiology 739
- Neurology 1.3k
Countries citing papers authored by Rafael Luján
This map shows the geographic impact of Rafael Luján'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 Rafael Luján with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rafael Luján more than expected).
Fields of papers citing papers by Rafael Luján
This network shows the impact of papers produced by Rafael Luján. 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 Rafael Luján. The network helps show where Rafael Luján may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Rafael Luján, 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 | 2025 | 0 | |
| 2 | 2024 | 3 | |
| 3 | 2024 | 1 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2021 | 19 | |
| 7 | 2020 | 19 | |
| 8 | 2020 | 22 | |
| 9 | 2017 | 35 | |
| 10 | 2016 | 26 | |
| 11 | 2016 | 14 | |
| 12 | 2013 | 103 | |
| 13 | 2013 | 19 | |
| 14 | 2011 | 39 | |
| 15 | 2011 | 60 | |
| 16 | 2009 | 30 | |
| 17 | 2009 | 33 | |
| 18 | 2009 | 121 | |
| 19 | 2007 | 215 | |
| 20 | 2002 | 73 |
About Rafael Luján
Rafael Luján is a scholar working on Cellular and Molecular Neuroscience, Neurology, Developmental Neuroscience, Sensory Systems and Physiology, having authored 183 papers that have together received 12.8k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (133 papers), Ion channel regulation and function (60 papers), Receptor Mechanisms and Signaling (51 papers), Neuroinflammation and Neurodegeneration Mechanisms (25 papers), Memory and Neural Mechanisms (22 papers), Nicotinic Acetylcholine Receptors Study (18 papers), Neurotransmitter Receptor Influence on Behavior (16 papers) and Alzheimer's disease research and treatments (16 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.6k citations), Developmental Neuroscience (818 citations), Cognitive Neuroscience (3.5k citations), Physiology (739 citations) and Neurology (1.3k citations). Rafael Luján has collaborated with scholars based in Spain, United States and Japan. Frequent co-authors include Péter Somogyi, Ryuichi Shigemoto, J. David B. Roberts, Zoltán Nusser, Masahiko Watanabe, Guillermina López‐Bendito, Kevin Wickman, Eberhard H. Buhl, Gábor Tamás and Carolina Aguado. Their work appears in journals such as Journal of Neuroscience, European Journal of Neuroscience, Neuron, Journal of Neurochemistry and Nature Neuroscience.
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.