Marco Mattoccia

31 total papers · 661 total citations
25 papers, 535 citations indexed

About

Marco Mattoccia is a scholar working on Global and Planetary Change, Genetics and Molecular Biology. According to data from OpenAlex, Marco Mattoccia has authored 25 papers receiving a total of 535 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Global and Planetary Change, 9 papers in Genetics and 6 papers in Molecular Biology. Recurrent topics in Marco Mattoccia's work include Genetic diversity and population structure (8 papers), Amphibian and Reptile Biology (7 papers) and Genomics and Phylogenetic Studies (4 papers). Marco Mattoccia is often cited by papers focused on Genetic diversity and population structure (8 papers), Amphibian and Reptile Biology (7 papers) and Genomics and Phylogenetic Studies (4 papers). Marco Mattoccia collaborates with scholars based in Italy, Poland and Spain. Marco Mattoccia's co-authors include Valerio Sbordoni, Elvira De Matthaeis, M. Cobolli Sbordoni, Antonio Romano, Felicita Scapini, Silvio Marta, Valentina Rimatori, Corrado Costa, Paolo Menesatti and Francesca Antonucci and has published in prestigious journals such as SHILAP Revista de lepidopterología, Methods in enzymology on CD-ROM/Methods in enzymology and Soil Biology and Biochemistry.

In The Last Decade

Marco Mattoccia

24 papers receiving 493 citations

Author Peers

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

Author Last Decade Papers Cites
Marco Mattoccia 210 177 175 112 93 25 535
Åse Jespersen 219 1.0× 92 0.5× 105 0.6× 62 0.6× 78 0.8× 33 542
Richard A. Pimentel 230 1.1× 136 0.8× 95 0.5× 164 1.5× 40 0.4× 19 594
Ana R. Amaral 359 1.7× 102 0.6× 74 0.4× 81 0.7× 24 0.3× 17 460
Amélie Crespel 286 1.4× 81 0.5× 142 0.8× 75 0.7× 142 1.5× 30 516
Karin Breugelmans 227 1.1× 126 0.7× 168 1.0× 204 1.8× 12 0.1× 28 539
Regina L. Cunha 276 1.3× 116 0.7× 227 1.3× 57 0.5× 36 0.4× 32 592
Lauren Mathews 377 1.8× 116 0.7× 160 0.9× 149 1.3× 79 0.8× 27 543
Rafaela Amaro 293 1.4× 215 1.2× 94 0.5× 59 0.5× 53 0.6× 27 555
Tomoyuki Kokita 243 1.2× 212 1.2× 232 1.3× 108 1.0× 88 0.9× 34 549
Christopher M. Martinez 177 0.8× 90 0.5× 124 0.7× 62 0.6× 93 1.0× 33 553

Countries citing papers authored by Marco Mattoccia

Since Specialization
Citations

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

Fields of papers citing papers by Marco Mattoccia

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Mattoccia

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