Leonardo Sorci

58 total papers · 1.9k total citations
42 papers, 1.4k citations indexed

About

Leonardo Sorci is a scholar working on Molecular Biology, Physiology and Materials Chemistry. According to data from OpenAlex, Leonardo Sorci has authored 42 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 15 papers in Physiology and 11 papers in Materials Chemistry. Recurrent topics in Leonardo Sorci's work include Biochemical and Molecular Research (18 papers), Calcium signaling and nucleotide metabolism (13 papers) and Enzyme Structure and Function (10 papers). Leonardo Sorci is often cited by papers focused on Biochemical and Molecular Research (18 papers), Calcium signaling and nucleotide metabolism (13 papers) and Enzyme Structure and Function (10 papers). Leonardo Sorci collaborates with scholars based in Italy, United States and Russia. Leonardo Sorci's co-authors include Nadia Raffaelli, Andrei L. Osterman, Giulio Magni, Giuseppe Orsomando, Adolfo Amici, Francesca Mazzola, Irina A. Rodionova, Silverio Ruggieri, Riccardo Petrelli and Loredana Cappellacci 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

Leonardo Sorci

41 papers receiving 1.3k citations

Author Peers

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

Author Last Decade Papers Cites
Leonardo Sorci 711 350 292 251 227 42 1.4k
Daniel Gigot 851 1.2× 187 0.5× 98 0.3× 194 0.8× 272 1.2× 35 1.4k
Christine Schlicker 835 1.2× 549 1.6× 122 0.4× 100 0.4× 307 1.4× 23 1.6k
Ke Yang 1.1k 1.5× 286 0.8× 68 0.2× 117 0.5× 171 0.8× 71 1.8k
Kwan Yong Choi 1.0k 1.4× 142 0.4× 59 0.2× 313 1.2× 212 0.9× 56 1.8k
Qijun Wang 877 1.2× 190 0.5× 27 0.1× 182 0.7× 156 0.7× 39 1.8k
Wael M. Rabeh 827 1.2× 78 0.2× 80 0.3× 126 0.5× 109 0.5× 38 1.5k
G Sala 1.0k 1.4× 184 0.5× 113 0.4× 97 0.4× 567 2.5× 37 1.6k
André Arigony Souto 531 0.7× 154 0.4× 32 0.1× 239 1.0× 112 0.5× 61 1.4k
Alessandra Nurisso 997 1.4× 58 0.2× 41 0.1× 190 0.8× 103 0.5× 48 1.8k
Dylan J. Sorensen 1.1k 1.5× 236 0.7× 25 0.1× 244 1.0× 158 0.7× 14 1.6k

Countries citing papers authored by Leonardo Sorci

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo Sorci

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Leonardo Sorci

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