Arturo C. Verrotti

19 total papers · 828 total citations
18 papers, 686 citations indexed

About

Arturo C. Verrotti is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Cell Biology. According to data from OpenAlex, Arturo C. Verrotti has authored 18 papers receiving a total of 686 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 3 papers in Public Health, Environmental and Occupational Health and 2 papers in Cell Biology. Recurrent topics in Arturo C. Verrotti's work include RNA Research and Splicing (10 papers), RNA modifications and cancer (6 papers) and Cancer-related gene regulation (4 papers). Arturo C. Verrotti is often cited by papers focused on RNA Research and Splicing (10 papers), RNA modifications and cancer (6 papers) and Cancer-related gene regulation (4 papers). Arturo C. Verrotti collaborates with scholars based in Italy, United States and Spain. Arturo C. Verrotti's co-authors include Sidney Strickland, Christopher Wreden, Federica Piccioni, Vincenzo Zappavigna, Jennifer A Schisa, Robin P. Wharton, Mie Kristensen, Sunnie R. Thompson, Marvin Wickens and Francesco Di Blasi and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Arturo C. Verrotti

18 papers receiving 677 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Arturo C. Verrotti 603 122 99 63 49 18 686
Ronan Le Bouffant 388 0.6× 144 1.2× 117 1.2× 38 0.6× 39 0.8× 22 561
Do‐Hwan Lim 584 1.0× 72 0.6× 51 0.5× 61 1.0× 98 2.0× 30 745
Robert Poulhe 471 0.8× 78 0.6× 120 1.2× 159 2.5× 77 1.6× 27 604
Pei‐Chih Lee 502 0.8× 73 0.6× 102 1.0× 33 0.5× 75 1.5× 22 648
Harry W. Goodall 403 0.7× 137 1.1× 225 2.3× 82 1.3× 37 0.8× 12 592
V. N. Parfenov 525 0.9× 77 0.6× 228 2.3× 88 1.4× 89 1.8× 42 721
Mark Hiller 658 1.1× 240 2.0× 38 0.4× 51 0.8× 133 2.7× 12 773
Maura Lane 534 0.9× 147 1.2× 84 0.8× 60 1.0× 92 1.9× 14 680
Lei Zhang 533 0.9× 130 1.1× 38 0.4× 30 0.5× 95 1.9× 22 745
Takehiro Kawano 462 0.8× 98 0.8× 47 0.5× 140 2.2× 22 0.4× 17 681

Countries citing papers authored by Arturo C. Verrotti

Since Specialization
Citations

This map shows the geographic impact of Arturo C. Verrotti'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 Arturo C. Verrotti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Arturo C. Verrotti more than expected).

Fields of papers citing papers by Arturo C. Verrotti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Arturo C. Verrotti. 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 Arturo C. Verrotti. The network helps show where Arturo C. Verrotti may publish in the future.

Co-authorship network of co-authors of Arturo C. Verrotti

This figure shows the co-authorship network connecting the top 25 collaborators of Arturo C. Verrotti. A scholar is included among the top collaborators of Arturo C. Verrotti based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Arturo C. Verrotti. Arturo C. Verrotti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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