Francesco Talotta

16 total papers · 1.1k total citations
12 papers, 806 citations indexed

About

Francesco Talotta is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Francesco Talotta has authored 12 papers receiving a total of 806 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 6 papers in Oncology and 5 papers in Cancer Research. Recurrent topics in Francesco Talotta's work include Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Francesco Talotta is often cited by papers focused on Ubiquitin and proteasome pathways (5 papers), Cancer-related Molecular Pathways (4 papers) and Protease and Inhibitor Mechanisms (2 papers). Francesco Talotta collaborates with scholars based in Italy, France and Denmark. Francesco Talotta's co-authors include Pasquale Verde, Laura Casalino, Amelia Cimmino, Moshé Yaniv, Jonathan B Weitzman, Maria R. Matarazzo, Maurizio D’Esposito, Gabriella De Vita, Roberto Di Lauro and Maurizio Risolino and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The EMBO Journal and Oncogene.

In The Last Decade

Francesco Talotta

12 papers receiving 800 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Talotta 616 408 169 67 61 12 806
Jia‐Quan Qu 555 0.9× 328 0.8× 205 1.2× 68 1.0× 79 1.3× 17 752
Jing-Hui Hou 510 0.8× 334 0.8× 177 1.0× 87 1.3× 66 1.1× 12 718
Sally Gaddis 546 0.9× 221 0.5× 218 1.3× 61 0.9× 57 0.9× 15 766
Skjalg Bruheim 682 1.1× 436 1.1× 211 1.2× 46 0.7× 99 1.6× 15 919
Guanglun Yang 525 0.9× 364 0.9× 350 2.1× 62 0.9× 63 1.0× 17 851
Ya‐Ching Lu 466 0.8× 342 0.8× 142 0.8× 50 0.7× 51 0.8× 12 744
Hanhua Huang 591 1.0× 261 0.6× 182 1.1× 126 1.9× 94 1.5× 13 863
Fanghui Ren 504 0.8× 457 1.1× 140 0.8× 48 0.7× 76 1.2× 20 802
Kirsten Ruigrok-Ritstier 525 0.9× 291 0.7× 310 1.8× 47 0.7× 72 1.2× 18 808
Min-Wei Chen 785 1.3× 256 0.6× 195 1.2× 96 1.4× 82 1.3× 14 973

Countries citing papers authored by Francesco Talotta

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Talotta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Talotta

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