M. Di Corato
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- Quantum Chromodynamics and Particle Interactions 17
- Particle physics theoretical and experimental studies 16
- Nuclear physics research studies 14
- High-Energy Particle Collisions Research 7
- Particle Detector Development and Performance 3
- Neurology top 10%
- Amyotrophic Lateral Sclerosis Research 5
- Radiation top 10%
- Nuclear Physics and Applications 4
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- Amyotrophic Lateral Sclerosis Research 5
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- Prion Diseases and Protein Misfolding 3
- Co-authors
- G. BelliniMauro CeroniCristina CeredaEmanuela CovaG. VegniE. FioriniF.X. GentitP. Mühlemann
- Journals
- Nuclear Physics B (5 papers)Physical Review Letters (4 papers)Neurotoxicity Research (2 papers)
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
M. Di Corato
42 papers receiving 501 citations
Peers
Comparison fields: 5 of 72
- Nuclear and High Energy Physics 300
- Neurology 99
- Genetics 57
- Radiation 37
- Neurology 30
Countries citing papers authored by M. Di Corato
This map shows the geographic impact of M. Di Corato'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 M. Di Corato with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Di Corato more than expected).
Fields of papers citing papers by M. Di Corato
This network shows the impact of papers produced by M. Di Corato. 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 M. Di Corato. The network helps show where M. Di Corato may publish in the future.
Co-authorship network
The 25 scholars most cited alongside M. Di Corato, 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 | 2019 | 11 | |
| 2 | 2014 | 4 | |
| 3 | 2012 | 14 | |
| 4 | 2010 | 8 | |
| 5 | Doxorubicin and congo red effectiveness on prion infectivity in golden Syrian hamster. | 2009 | 7 |
| 6 | Young-onset CJD: age and disease phenotype in variant and sporadic forms. | 2007 | 15 |
| 7 | 2006 | 16 | |
| 8 | 2006 | 16 | |
| 9 | 2006 | 46 | |
| 10 | Antibodies to cerebellar nerve fibres in two patients with paraneoplastic cerebellar ataxia. | 2005 | 13 |
| 11 | 1984 | 5 | |
| 12 | 1982 | 42 | |
| 13 | 1979 | 1 | |
| 14 | 1978 | 17 | |
| 15 | 1973 | 9 | |
| 16 | 1966 | 18 | |
| 17 | 1959 | 11 | |
| 18 | 1956 | 0 | |
| 19 | 1956 | 3 | |
| 20 | 1954 | 5 |
About M. Di Corato
M. Di Corato is a scholar working on Nuclear and High Energy Physics, Radiation and Neurology, having authored 45 papers that have together received 526 indexed citations. Recurring topics across this work include Quantum Chromodynamics and Particle Interactions (17 papers), Particle physics theoretical and experimental studies (16 papers), Nuclear physics research studies (14 papers), High-Energy Particle Collisions Research (7 papers), Amyotrophic Lateral Sclerosis Research (5 papers), Nuclear Physics and Applications (4 papers), Prion Diseases and Protein Misfolding (3 papers) and Particle Detector Development and Performance (3 papers). The work is most often cited by research in Nuclear and High Energy Physics (300 citations), Neurology (99 citations) and Genetics (57 citations). M. Di Corato has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include G. Bellini, Mauro Ceroni, Cristina Cereda, Emanuela Cova, G. Vegni, E. Fiorini, F.X. Gentit, P. Mühlemann, K. Freudenreich and M. Letheren. Their work appears in journals such as Nuclear Physics B, Physical Review Letters, Neurotoxicity Research, Physics Letters B and Journal of Hypertension.
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.