Claudio Verzilli

1.9k citations
17 papers · 639 · h-index 11

Impact in

Papers in

    • Genetic Associations and Epidemiology 9
    • Genetic Mapping and Diversity in Plants and Animals 6
    • Genetic and phenotypic traits in livestock 5
    • Gene expression and cancer classification 2
    • Prion Diseases and Protein Misfolding 2
    • RNA and protein synthesis mechanisms 1

Claudio Verzilli

17 papers receiving 613 citations

Peers

Claudio Verzilli
Comparison fields: 5 of 94
  • Neurology 129
  • Nutrition and Dietetics 78
  • Genetics 143
  • Molecular Biology 292
  • Statistics and Probability 36
Replace Mitsunori Kayano with:
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Cecília J. G. de Almeida Brazil
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Citations per field
00.5×2×4×6×8×9.9×
Mitsunori Kayano · 1×
Citations per year

Countries citing papers authored by Claudio Verzilli

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Claudio Verzilli Line = papers co-authored together Claudio Verzilli links everyone, so they are left out of the graph.

All Works

17 of 17 papers shown
#Work
1 2010161
2 2009135
3 2008115
4 200650
5 200845
6 200726
7 200522
8 200921
9 200415
10 201212
11 200210
12 20096
13 20075
14 20025
15 20084
16 20114
17
Adjustment for Covariates
20063

About Claudio Verzilli

Claudio Verzilli is a scholar working on Genetics, Molecular Biology, Statistics and Probability, Surgery and Pathology and Forensic Medicine, having authored 17 papers that have together received 639 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 RNA and protein synthesis mechanisms (1 paper). The work is most often cited by research in Neurology (129 citations), Nutrition and Dietetics (78 citations), Genetics (143 citations), Molecular Biology (292 citations) and Statistics and Probability (36 citations). Claudio Verzilli has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include John C. Whittaker, Nigel Stallard, Mark Poulter, John Collinge, Simon Mead, Tracy Campbell, James Uphill, Jerome Whitfield, Holger Hummerich and Michael P. Alpers. Their work appears in journals such as Genetic Epidemiology, The American Journal of Human Genetics, Bioinformatics, Journal of the Royal Statistical Society Series C (Applied Statistics) and PLoS Genetics.

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.

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