Matteo Pecoraro

48 total papers · 2.0k total citations
14 papers, 1.1k citations indexed

About

Matteo Pecoraro is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, Matteo Pecoraro has authored 14 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Immunology and 4 papers in Oncology. Recurrent topics in Matteo Pecoraro's work include Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (3 papers) and RNA Research and Splicing (3 papers). Matteo Pecoraro is often cited by papers focused on Immune Cell Function and Interaction (4 papers), Prostate Cancer Treatment and Research (3 papers) and RNA Research and Splicing (3 papers). Matteo Pecoraro collaborates with scholars based in Switzerland, Germany and Spain. Matteo Pecoraro's co-authors include William M. Keyes, Reut Yosef, Alexandre Robert‐Moreno, Mekayla A. Storer, Noam Pilpel, James Sharpe, Valery Krizhanovsky, Xuecui Guo, Victoria Aranda and Alea A. Mills and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Matteo Pecoraro

13 papers receiving 1.1k citations

Hit Papers

Senescence Is a Developme... 2013 2026 2017 2021 2013 250 500 750

Author Peers

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

Author Last Decade Papers Cites
Matteo Pecoraro 637 623 264 181 165 14 1.1k
Jean-Philippe Coppé 584 0.9× 556 0.9× 238 0.9× 189 1.0× 154 0.9× 7 1.1k
Jeff S. Pawlikowski 596 0.9× 414 0.7× 248 0.9× 202 1.1× 118 0.7× 16 1.1k
Katerina I. Leonova 663 1.0× 436 0.7× 377 1.4× 131 0.7× 133 0.8× 12 1.2k
Peter Krasnov 449 0.7× 422 0.7× 329 1.2× 179 1.0× 250 1.5× 14 1.2k
Nicolas Malaquin 541 0.8× 532 0.9× 246 0.9× 185 1.0× 112 0.7× 19 1.0k
Tristan V. de Jong 555 0.9× 405 0.7× 180 0.7× 109 0.6× 179 1.1× 10 1.0k
Jacob A. Boyer 433 0.7× 376 0.6× 301 1.1× 205 1.1× 85 0.5× 9 1.1k
Martina Gluscevic 531 0.8× 425 0.7× 211 0.8× 76 0.4× 131 0.8× 11 1.1k
Ilka Wappler 834 1.3× 486 0.8× 162 0.6× 113 0.6× 142 0.9× 14 1.5k
Cristina Pantoja 1.0k 1.6× 474 0.8× 153 0.6× 293 1.6× 156 0.9× 18 1.4k

Countries citing papers authored by Matteo Pecoraro

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Pecoraro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Pecoraro

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