Massimo Mascaro
Impact in
-
- Hereditary Neurological Disorders
- Neuroscience and Neural Engineering
- Neurology top 10%
- Neurological diseases and metabolism
Papers in
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- Neural dynamics and brain function 5
- Visual perception and processing mechanisms 5
- Spatial Neglect and Hemispheric Dysfunction 2
- Motor Control and Adaptation 2
- Co-authors
- Yali Amit (2 shared papers)Alexandra Battaglia‐Mayer (3 shared papers)Roberto Caminiti (3 shared papers)Daniel J. Amit (2 shared papers)David C. Bradley (2 shared papers)J. A. Berg (1 shared paper)Conrad V. Kufta (1 shared paper)Douglas B. McCreery (1 shared paper)
- Journals
- Cerebral Cortex (3 papers)Network Computation in Neural Systems (2 papers)The Astrophysical Journal Supplement Series (1 paper)Science (1 paper)Neural Computation (1 paper)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Massimo Mascaro
11 papers receiving 775 citations
Massimo Mascaro's Hit Papers
Peers
Comparison fields: 5 of 79
- Cellular and Molecular Neuroscience 400
- Neurology 131
- Cognitive Neuroscience 283
- Genetics 89
- Cell Biology 89
Countries citing papers authored by Massimo Mascaro
This map shows the geographic impact of Massimo Mascaro'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 Massimo Mascaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Mascaro more than expected).
Fields of papers citing papers by Massimo Mascaro
This network shows the impact of papers produced by Massimo Mascaro. 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 Massimo Mascaro. The network helps show where Massimo Mascaro may publish in the future.
Co-authors
The 25 scholars most cited alongside Massimo Mascaro, 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 | Exome Sequencing Links Corticospinal Motor Neuron Disease to Common Neurodegenerative Disorders Hit paper breakdown → | 2014 | 446 |
| 2 | 2004 | 130 | |
| 3 | 2004 | 43 | |
| 4 | 2006 | 38 | |
| 5 | 2003 | 36 | |
| 6 | 1999 | 32 | |
| 7 | 2003 | 32 | |
| 8 | 2001 | 21 | |
| 9 | 2004 | 11 | |
| 10 | 1999 | 9 | |
| 11 | 2006 | 3 | |
| 12 | 2025 | 0 |
About Massimo Mascaro
Massimo Mascaro is a scholar working on Cognitive Neuroscience, Neurology, Cellular and Molecular Neuroscience, Instrumentation and Genetics, having authored 12 papers that have together received 801 indexed citations. Recurring topics across this work include Neural dynamics and brain function (5 papers), Visual perception and processing mechanisms (5 papers), Spatial Neglect and Hemispheric Dysfunction (2 papers), Motor Control and Adaptation (2 papers), Neural Networks and Applications (2 papers), Astronomical Observations and Instrumentation (1 paper), Neurogenetic and Muscular Disorders Research (1 paper) and Neuroscience and Neural Engineering (1 paper). The work is most often cited by research in Cellular and Molecular Neuroscience (400 citations), Neurology (131 citations), Cognitive Neuroscience (283 citations), Genetics (89 citations) and Cell Biology (89 citations). Massimo Mascaro has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Yali Amit, Alexandra Battaglia‐Mayer, Roberto Caminiti, Daniel J. Amit, David C. Bradley, J. A. Berg, Conrad V. Kufta, Douglas B. McCreery, Martin J. Bak and Vernon L. Towle. Their work appears in journals such as Cerebral Cortex, Network Computation in Neural Systems, The Astrophysical Journal Supplement Series, Science and Neural Computation.
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.