Javier DeFelipe
- Cellular and Molecular Neuroscience top 0.05%
- Neuroscience and Neuropharmacology Research 179
- Neuroscience and Neural Engineering 26
- Photoreceptor and optogenetics research 24
- Developmental Neuroscience top 0.2%
- Neurogenesis and neuroplasticity mechanisms 20
- Cognitive Neuroscience top 0.1%
- Neural dynamics and brain function 119
- Memory and Neural Mechanisms 42
- Neurology top 0.2%
- Structural Biology top 1%
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- Alzheimer's disease research and treatments 29
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- Cell Image Analysis Techniques 28
- Co-authors
- Isabel FariñasRuth Benavides‐PiccioneS.H.C. HendryLidia Alonso‐NanclaresAlberto MuñozE.G. JonesGuy N. ElstonEdward G. Jones
- Journals
- Frontiers in Neuroanatomy (37 papers)Cerebral Cortex (34 papers)The Journal of Comparative Neurology (16 papers)
- Partner nations
- SpainUnited StatesAustralia
In The Last Decade
Javier DeFelipe
288 papers receiving 14.8k citations
Hit Papers
Peers
Comparison fields: 5 of 181
- Cellular and Molecular Neuroscience 9.3k
- Developmental Neuroscience 1.5k
- Cognitive Neuroscience 6.7k
- Neurology 1.7k
- Structural Biology 209
Countries citing papers authored by Javier DeFelipe
This map shows the geographic impact of Javier DeFelipe'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 Javier DeFelipe with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Javier DeFelipe more than expected).
Fields of papers citing papers by Javier DeFelipe
This network shows the impact of papers produced by Javier DeFelipe. 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 Javier DeFelipe. The network helps show where Javier DeFelipe may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Javier DeFelipe, 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 | 0 | |
| 3 | 2024 | 2 | |
| 4 | 2024 | 10 | |
| 5 | 2023 | 8 | |
| 6 | 2023 | 6 | |
| 7 | 2022 | 41 | |
| 8 | 2022 | 14 | |
| 9 | 2021 | 26 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 13 | |
| 12 | 2020 | 4 | |
| 13 | 2019 | 11 | |
| 14 | 2019 | 20 | |
| 15 | 2019 | 10 | |
| 16 | 2018 | 7 | |
| 17 | 2014 | 10 | |
| 18 | 2013 | 10 | |
| 19 | 2009 | 53 | |
| 20 | 2002 | 149 |
About Javier DeFelipe
Javier DeFelipe is a scholar working on Cellular and Molecular Neuroscience, Cognitive Neuroscience and Biophysics, having authored 296 papers that have together received 15.0k indexed citations. Recurring topics across this work include Neuroscience and Neuropharmacology Research (179 papers), Neural dynamics and brain function (119 papers), Memory and Neural Mechanisms (42 papers), Alzheimer's disease research and treatments (29 papers), Cell Image Analysis Techniques (28 papers), Neuroscience and Neural Engineering (26 papers), Photoreceptor and optogenetics research (24 papers) and Neurogenesis and neuroplasticity mechanisms (20 papers). The work is most often cited by research in Cellular and Molecular Neuroscience (9.3k citations), Developmental Neuroscience (1.5k citations) and Cognitive Neuroscience (6.7k citations). Javier DeFelipe has collaborated with scholars based in Spain, United States and Australia. Frequent co-authors include Isabel Fariñas, Ruth Benavides‐Piccione, S.H.C. Hendry, Lidia Alonso‐Nanclares, Alberto Muñoz, E.G. Jones, Guy N. Elston, Edward G. Jones, Inmaculada Ballesteros‐Yáñez and Rafael Yuste. Their work appears in journals such as Frontiers in Neuroanatomy, Cerebral Cortex, The Journal of Comparative Neurology, Neuroscience and Journal of 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.