Claudio Verzilli
Impact in
- Neurology top 10%
- 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 3
- Prion Diseases and Protein Misfolding 2
- Co-authors
- John C. Whittaker (10 shared papers)Nigel Stallard (3 shared papers)Simon Mead (2 shared papers)Michael P. Alpers (2 shared papers)James Uphill (2 shared papers)Jerome Whitfield (2 shared papers)Mark Poulter (2 shared papers)Tracy Campbell (2 shared papers)
- Journals
- The American Journal of Human Genetics (4 papers)Genetic Epidemiology (4 papers)PLoS Genetics (1 paper)Bioinformatics (1 paper)New England Journal of Medicine (1 paper)
- Partner nations
- United KingdomAustraliaPapua New Guinea
In The Last Decade
Claudio Verzilli
16 papers receiving 572 citations
Peers
Comparison fields: 5 of 95
- Neurology 128
- Nutrition and Dietetics 80
- Genetics 145
- Small Animals 36
- Statistics and Probability 37
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 | 152 | |
| 2 | 2009 | 119 | |
| 3 | 2008 | 105 | |
| 4 | 2006 | 44 | |
| 5 | 2008 | 44 | |
| 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 Small Animals, having authored 16 papers that have together received 588 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), Gene expression and cancer classification (3 papers), Statistical Methods in Clinical Trials (3 papers), Prion Diseases and Protein Misfolding (2 papers), Advanced Causal Inference Techniques (2 papers) and Neurological diseases and metabolism (1 paper). The work is most often cited by research in Neurology (128 citations), Nutrition and Dietetics (80 citations), Genetics (145 citations), Small Animals (36 citations) and Statistics and Probability (37 citations). Claudio Verzilli has collaborated with scholars based in United Kingdom, Australia and Papua New Guinea. Frequent co-authors include John C. Whittaker, Nigel Stallard, Simon Mead, Michael P. Alpers, James Uphill, Jerome Whitfield, Mark Poulter, Tracy Campbell, John Collinge and Holger Hummerich. Their work appears in journals such as The American Journal of Human Genetics, Genetic Epidemiology, PLoS Genetics, Bioinformatics and New England Journal of Medicine.
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.