Michael Caños
Impact in
- Neurology top 5%
- Transcranial Magnetic Stimulation Studies
- Neurological disorders and treatments
- Botulinum Toxin and Related Neurological Disorders
- Vestibular and auditory disorders
- Cognitive Neuroscience top 10%
- Motor Control and Adaptation
- Functional Brain Connectivity Studies
Papers in
- Surgery 2
-
- Transcranial Magnetic Stimulation Studies 2
- Co-authors
- Eric M. Wassermann (3 shared papers)Robert Chen (1 shared paper)Mark Hallett (1 shared paper)Mark Hallett (2 shared papers)Ali Samii (2 shared papers)Katsunori Ikoma (1 shared paper)Mercedes Falciglia (1 shared paper)Terry Lee (1 shared paper)
- Journals
- Neurology (2 papers)International Anesthesiology Clinics (1 paper)Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control (1 paper)Annals of Eye Science (1 paper)Hispana (1 paper)
- Partner nations
- United StatesSpain
In The Last Decade
Michael Caños
6 papers receiving 380 citations
Peers
Comparison fields: 5 of 38
- Neurology 287
- Neurology 156
- Cognitive Neuroscience 155
- Cellular and Molecular Neuroscience 77
- Rehabilitation 18
Countries citing papers authored by Michael Caños
This map shows the geographic impact of Michael Caños'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 Michael Caños with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Caños more than expected).
Fields of papers citing papers by Michael Caños
This network shows the impact of papers produced by Michael Caños. 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 Michael Caños. The network helps show where Michael Caños may publish in the future.
Co-authors
The 17 scholars most cited alongside Michael Caños, 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 | 1997 | 174 | |
| 2 | 1997 | 171 | |
| 3 | 1997 | 34 | |
| 4 | 2022 | 3 | |
| 5 | 2009 | 2 | |
| 6 | Estudio de eficacia y coste en la electroestimulación medular como tratamiento de la angina refractaria | 2004 | 1 |
About Michael Caños
Michael Caños is a scholar working on Surgery, Neurology, Biomedical Engineering, Neurology and Cardiology and Cardiovascular Medicine, having authored 6 papers that have together received 385 indexed citations. Recurring topics across this work include Transcranial Magnetic Stimulation Studies (2 papers), Muscle activation and electromyography studies (2 papers), Diabetes Management and Research (1 paper), COVID-19 diagnosis using AI (1 paper), Artificial Intelligence in Healthcare (1 paper), EEG and Brain-Computer Interfaces (1 paper), Pain Management and Treatment (1 paper) and Retinal Imaging and Analysis (1 paper). The work is most often cited by research in Neurology (287 citations), Neurology (156 citations), Cognitive Neuroscience (155 citations), Cellular and Molecular Neuroscience (77 citations) and Rehabilitation (18 citations). Michael Caños has collaborated with scholars based in United States and Spain. Frequent co-authors include Eric M. Wassermann, Robert Chen, Mark Hallett, Mark Hallett, Ali Samii, Katsunori Ikoma, Mercedes Falciglia, Terry Lee, David A. D’Alessio and Majda Hadziahmetovic. Their work appears in journals such as Neurology, International Anesthesiology Clinics, Electroencephalography and Clinical Neurophysiology/Electromyography and Motor Control, Annals of Eye Science and Hispana.
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.