Fernando Gasca
Impact in
- Neurology top 2%
- Transcranial Magnetic Stimulation Studies
- Vestibular and auditory disorders
- Cognitive Neuroscience top 5%
- Neural dynamics and brain function
- EEG and Brain-Computer Interfaces
- Neural and Behavioral Psychology Studies
- Functional Brain Connectivity Studies
Papers in
-
- Neural dynamics and brain function 4
- Sleep and Wakefulness Research 2
-
- Neuroscience and Neural Engineering 3
- Co-authors
- Lucas C. Parra (3 shared papers)Marom Bikson (2 shared papers)Abhishek Datta (2 shared papers)Davide Reato (2 shared papers)Asif Rahman (1 shared paper)Mattia Arlotti (1 shared paper)Lisa Marshall (2 shared papers)Sonja Binder (2 shared papers)
- Journals
- Clinical & Experimental Metastasis (1 paper)Journal of Biomedical Optics (1 paper)PLoS Computational Biology (1 paper)Neuropharmacology (1 paper)Brain stimulation (1 paper)
- Partner nations
- GermanyUnited StatesItaly
In The Last Decade
Fernando Gasca
14 papers receiving 573 citations
Peers
Comparison fields: 5 of 57
- Neurology 401
- Cognitive Neuroscience 347
- Cellular and Molecular Neuroscience 196
- Anesthesiology and Pain Medicine 30
- Neurology 52
Countries citing papers authored by Fernando Gasca
This map shows the geographic impact of Fernando Gasca'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 Fernando Gasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fernando Gasca more than expected).
Fields of papers citing papers by Fernando Gasca
This network shows the impact of papers produced by Fernando Gasca. 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 Fernando Gasca. The network helps show where Fernando Gasca may publish in the future.
Co-authors
The 25 scholars most cited alongside Fernando Gasca, 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 | 2013 | 388 | |
| 2 | 2013 | 61 | |
| 3 | 2014 | 49 | |
| 4 | 2012 | 15 | |
| 5 | 2017 | 12 | |
| 6 | 2011 | 12 | |
| 7 | 2010 | 10 | |
| 8 | 2013 | 9 | |
| 9 | 2017 | 8 | |
| 10 | 1994 | 6 | |
| 11 | 2009 | 5 | |
| 12 | 2013 | 3 | |
| 13 | 2011 | 3 | |
| 14 | 2007 | 1 |
About Fernando Gasca
Fernando Gasca is a scholar working on Cognitive Neuroscience, Cellular and Molecular Neuroscience, Neurology, Biomedical Engineering and Neurology, having authored 14 papers that have together received 582 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (4 papers), Neural dynamics and brain function (4 papers), Neuroscience and Neural Engineering (3 papers), Optical Coherence Tomography Applications (2 papers), Cell Image Analysis Techniques (2 papers), Conducting polymers and applications (2 papers), Anatomy and Medical Technology (2 papers) and Sleep and Wakefulness Research (2 papers). The work is most often cited by research in Neurology (401 citations), Cognitive Neuroscience (347 citations), Cellular and Molecular Neuroscience (196 citations), Anesthesiology and Pain Medicine (30 citations) and Neurology (52 citations). Fernando Gasca has collaborated with scholars based in Germany, United States and Italy. Frequent co-authors include Lucas C. Parra, Marom Bikson, Abhishek Datta, Davide Reato, Asif Rahman, Mattia Arlotti, Lisa Marshall, Sonja Binder, Belen Lafon and Jan Born. Their work appears in journals such as Clinical & Experimental Metastasis, Journal of Biomedical Optics, PLoS Computational Biology, Neuropharmacology and Brain stimulation.
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.