Claudio Verzilli
Impact in
- Neurology top 5%
- Neurological diseases and metabolism
-
- Trace Elements in Health
Papers in
- Genetics 10
- Genetic Associations and Epidemiology 9
- Genetic Mapping and Diversity in Plants and Animals 6
- Genetic and phenotypic traits in livestock 5
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- Gene expression and cancer classification 2
- Prion Diseases and Protein Misfolding 2
- Co-authors
- John C. Whittaker (10 shared papers)Nigel Stallard (3 shared papers)John Collinge (2 shared papers)Mark Poulter (2 shared papers)Tracy Campbell (2 shared papers)Simon Mead (2 shared papers)Michael P. Alpers (2 shared papers)Holger Hummerich (2 shared papers)
- Journals
- Genetic Epidemiology (4 papers)The American Journal of Human Genetics (4 papers)PLoS Genetics (1 paper)Journal of the Royal Statistical Society Series C (Applied Statistics) (1 paper)PLoS ONE (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
Claudio Verzilli
16 papers receiving 581 citations
Peers
Comparison fields: 5 of 92
- Neurology 119
- Nutrition and Dietetics 74
- Genetics 134
- Molecular Biology 272
- Epidemiology 119
Countries citing papers authored by Claudio Verzilli
This map shows the geographic impact of Claudio Verzilli'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 Claudio Verzilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Claudio Verzilli more than expected).
Fields of papers citing papers by Claudio Verzilli
This network shows the impact of papers produced by Claudio Verzilli. 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 Claudio Verzilli. The network helps show where Claudio Verzilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Claudio Verzilli, 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 | 2010 | 156 | |
| 2 | 2009 | 122 | |
| 3 | 2008 | 107 | |
| 4 | 2006 | 44 | |
| 5 | 2008 | 43 | |
| 6 | 2007 | 26 | |
| 7 | 2005 | 22 | |
| 8 | 2009 | 18 | |
| 9 | 2004 | 14 | |
| 10 | 2012 | 12 | |
| 11 | 2002 | 9 | |
| 12 | 2009 | 6 | |
| 13 | 2007 | 5 | |
| 14 | 2002 | 5 | |
| 15 | 2008 | 4 | |
| 16 | 2011 | 3 |
About Claudio Verzilli
Claudio Verzilli is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Surgery and Pathology and Forensic Medicine, having authored 16 papers that have together received 596 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (9 papers), Genetic Mapping and Diversity in Plants and Animals (6 papers), Genetic and phenotypic traits in livestock (5 papers), Statistical Methods in Clinical Trials (3 papers), Gene expression and cancer classification (2 papers), Advanced Causal Inference Techniques (2 papers), Prion Diseases and Protein Misfolding (2 papers) and Bayesian Modeling and Causal Inference (1 paper). The work is most often cited by research in Neurology (119 citations), Nutrition and Dietetics (74 citations), Genetics (134 citations), Molecular Biology (272 citations) and Epidemiology (119 citations). Claudio Verzilli has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include John C. Whittaker, Nigel Stallard, John Collinge, Mark Poulter, Tracy Campbell, Simon Mead, Michael P. Alpers, Holger Hummerich, Jerome Whitfield and James Uphill. Their work appears in journals such as Genetic Epidemiology, The American Journal of Human Genetics, PLoS Genetics, Journal of the Royal Statistical Society Series C (Applied Statistics) and PLoS ONE.
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.