Valério Berdini

70 total papers · 2.1k total citations
22 papers, 900 citations indexed

About

Valério Berdini is a scholar working on Molecular Biology, Organic Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Valério Berdini has authored 22 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 9 papers in Organic Chemistry and 4 papers in Computational Theory and Mathematics. Recurrent topics in Valério Berdini's work include Biochemical and Molecular Research (5 papers), Computational Drug Discovery Methods (4 papers) and Microtubule and mitosis dynamics (3 papers). Valério Berdini is often cited by papers focused on Biochemical and Molecular Research (5 papers), Computational Drug Discovery Methods (4 papers) and Microtubule and mitosis dynamics (3 papers). Valério Berdini collaborates with scholars based in United Kingdom, Italy and Brazil. Valério Berdini's co-authors include Marcel L. Verdonk, Christopher W. Murray, Wijnand T. M. Mooij, Michael J. Hartshorn, Richard D. Taylor, Paul Watson, Marcello Allegretti, Michelle D. Garrett, Thomas G. Davies and Alessandra Topai and has published in prestigious journals such as Journal of the American Chemical Society, Cancer Research and FEBS Letters.

In The Last Decade

Valério Berdini

21 papers receiving 857 citations

Author Peers

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

Author						Papers	Cites
Valério Berdini	564	347	292	98	95	22	900
Patrizio Mattei	460 0.8×	175 0.5×	201 0.7×	167 1.7×	120 1.3×	24	975
Yasuhisa Kurogi	482 0.9×	277 0.8×	359 1.2×	165 1.7×	65 0.7×	21	980
John Eksterowicz	375 0.7×	199 0.6×	271 0.9×	207 2.1×	74 0.8×	26	884
Tami Marrone	575 1.0×	247 0.7×	176 0.6×	64 0.7×	154 1.6×	26	873
Martin Peters	626 1.1×	232 0.7×	234 0.8×	112 1.1×	139 1.5×	21	934
Stéphane Bourg	466 0.8×	177 0.5×	463 1.6×	95 1.0×	52 0.5×	42	980
John G. Cumming	294 0.5×	220 0.6×	499 1.7×	71 0.7×	68 0.7×	30	876
Jörg Bentzien	323 0.6×	133 0.4×	184 0.6×	77 0.8×	70 0.7×	24	738
N. Nagasundaram	549 1.0×	118 0.3×	190 0.7×	93 0.9×	112 1.2×	45	1.0k
Andy Merritt	427 0.8×	172 0.5×	223 0.8×	71 0.7×	55 0.6×	32	811

Countries citing papers authored by Valério Berdini

Since Specialization

Citations

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

Fields of papers citing papers by Valério Berdini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Valério Berdini

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