E. Caputo
- Neurology top 1%
- Cellular and Molecular Neuroscience top 5%
- Cognitive Neuroscience top 10%
- Neurology top 10%
- Endocrinology, Diabetes and Metabolism
- Co-authors
- Alberto PrioriM. EgidiMarco LocatelliFilippo TammaPaolo RampiniGuglielmo FoffaniA. PesentiValentina Chiesa
- Topics
- Neurological disorders and treatments (18 papers)Parkinson's Disease Mechanisms and Treatments (15 papers)Neuroscience and Neural Engineering (7 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
E. Caputo
20 papers receiving 991 citations
Peers
Comparison fields: 5 of 55
- Neurology 892
- Cellular and Molecular Neuroscience 632
- Cognitive Neuroscience 174
- Neurology 102
- Endocrinology, Diabetes and Metabolism 35
Countries citing papers authored by E. Caputo
This map shows the geographic impact of E. Caputo'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 E. Caputo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites E. Caputo more than expected).
Fields of papers citing papers by E. Caputo
This network shows the impact of papers produced by E. Caputo. 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 E. Caputo. The network helps show where E. Caputo may publish in the future.
Co-authorship network of co-authors of E. Caputo
This figure shows the co-authorship network connecting the top 25 collaborators of E. Caputo. A scholar is included among the top collaborators of E. Caputo based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with E. Caputo. E. Caputo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 27 | |
| 2 | 76 | |
| 3 | 69 | |
| 4 | NEUROPHYSIOLOGICAL CORRELATES OF PARKINSONIAN DYSKINESIAS IN SUBTHALAMICOSCILLATORY ACTIVITY | 2 |
| 5 | 36 | |
| 6 | 26 | |
| 7 | 83 | |
| 8 | 2 | |
| 9 | 28 | |
| 10 | 25 | |
| 11 | 18 | |
| 12 | Multiple sequential image-fusion and direct MRI localisation of the subthalamic nucleus for deep brain stimulation. | 35 |
| 13 | Do intraoperative microrecordings improve subthalamic nucleus targeting in stereotactic neurosurgery for Parkinson's disease? | 59 |
| 14 | Movement-related modulation of the neural activity in the human basal ganglia: recordings from deep brain stimulation macroelectrodes | 6 |
| 15 | 122 | |
| 16 | 44 | |
| 17 | 38 | |
| 18 | 254 | |
| 19 | 24 | |
| 20 | 40 |
About E. Caputo
E. Caputo is a scholar working on Neurology, Cellular and Molecular Neuroscience and Neurology, having authored 20 papers that have together received 1.0k indexed citations. Recurring topics across this work include Neurological disorders and treatments (18 papers), Parkinson's Disease Mechanisms and Treatments (15 papers) and Neuroscience and Neural Engineering (7 papers). The work is most often cited by research in Neurology (892 citations), Cellular and Molecular Neuroscience (632 citations) and Neurology (102 citations). E. Caputo has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alberto Priori, M. Egidi, Marco Locatelli, Filippo Tamma, Paolo Rampini, Guglielmo Foffani, A. Pesenti, Valentina Chiesa, Sergio Barbieri and Abdelhamid Benazzouz. Their work appears in journals such as Neuroscience, Journal of Neurology Neurosurgery & Psychiatry and European 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.