Corrado Pancotti

26 total papers · 475 total citations
12 papers, 221 citations indexed

About

Corrado Pancotti is a scholar working on Molecular Biology, Artificial Intelligence and Cancer Research. According to data from OpenAlex, Corrado Pancotti has authored 12 papers receiving a total of 221 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 2 papers in Artificial Intelligence and 2 papers in Cancer Research. Recurrent topics in Corrado Pancotti's work include RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Corrado Pancotti is often cited by papers focused on RNA and protein synthesis mechanisms (4 papers), Protein Structure and Dynamics (4 papers) and Microbial Metabolic Engineering and Bioproduction (2 papers). Corrado Pancotti collaborates with scholars based in Italy, Belgium and Switzerland. Corrado Pancotti's co-authors include Piero Fariselli, Giovanni Birolo, Silvia Benevenuta, Tiziana Sanavia, Emidio Capriotti, Dennis Lal, Ludovica Montanucci, Umberto Manera, Barbara Di Camillo and Adriano Chiò and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Corrado Pancotti

12 papers receiving 218 citations

Author Peers

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

Author						Papers	Cites
Corrado Pancotti	169	45	24	21	16	12	221
Joseph J. Noh	120 0.7×	20 0.4×	14 0.6×	4 0.2×	26 1.6×	7	233
Viktor Ambrus	283 1.7×	32 0.7×	9 0.4×	24 1.1×	5 0.3×	10	326
Fernando A. Gonzales-Zubiate	239 1.4×	17 0.4×	16 0.7×	15 0.7×	5 0.3×	18	289
Cristina Visentin	167 1.0×	21 0.5×	6 0.3×	12 0.6×	12 0.8×	19	238
Ruchi Chauhan	140 0.8×	9 0.2×	21 0.9×	17 0.8×	6 0.4×	18	241
Michael Silk	151 0.9×	12 0.3×	89 3.7×	7 0.3×	27 1.7×	11	215
Silvia Benevenuta	200 1.2×	50 1.1×	40 1.7×	2 0.1×	16 1.0×	10	230
Matteo Cagiada	255 1.5×	37 0.8×	94 3.9×	11 0.5×	12 0.8×	16	311
Giulia Babbi	150 0.9×	13 0.3×	60 2.5×	4 0.2×	14 0.9×	20	197
Julian Baur	220 1.3×	33 0.7×	12 0.5×	11 0.5×	7 0.4×	12	250

Countries citing papers authored by Corrado Pancotti

Since Specialization

Citations

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

Fields of papers citing papers by Corrado Pancotti

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Corrado Pancotti. 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 Corrado Pancotti. The network helps show where Corrado Pancotti may publish in the future.

Co-authorship network of co-authors of Corrado Pancotti

This figure shows the co-authorship network connecting the top 25 collaborators of Corrado Pancotti. A scholar is included among the top collaborators of Corrado Pancotti 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 Corrado Pancotti. Corrado Pancotti 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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