Matteo Augello

56 total papers · 1.0k total citations
24 papers, 160 citations indexed

About

Matteo Augello is a scholar working on Infectious Diseases, Neurology and Surgery. According to data from OpenAlex, Matteo Augello has authored 24 papers receiving a total of 160 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Infectious Diseases, 5 papers in Neurology and 4 papers in Surgery. Recurrent topics in Matteo Augello's work include COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Long-Term Effects of COVID-19 (5 papers). Matteo Augello is often cited by papers focused on COVID-19 Clinical Research Studies (10 papers), SARS-CoV-2 and COVID-19 Research (9 papers) and Long-Term Effects of COVID-19 (5 papers). Matteo Augello collaborates with scholars based in Italy, United States and United Kingdom. Matteo Augello's co-authors include Giulia Marchetti, Valeria Bono, Camilla Tincati, Antonella d’Arminio Monforte, Roberta Rovito, Esther Merlini, Elvira Stefania Cannizzo, Francesca Bai, Andrea Calcagno and Alessandra Barassi and has published in prestigious journals such as SHILAP Revista de lepidopterología, Scientific Reports and Frontiers in Immunology.

In The Last Decade

Matteo Augello

20 papers receiving 160 citations

Author Peers

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

Author Last Decade Papers Cites
Matteo Augello 99 36 33 27 26 24 160
Rosaria Viglietti 105 1.1× 37 1.0× 44 1.3× 29 1.1× 20 0.8× 19 219
Camilla Ajassa 121 1.2× 14 0.4× 65 2.0× 19 0.7× 50 1.9× 27 218
Elizabeth Laidlaw 110 1.1× 31 0.9× 66 2.0× 45 1.7× 36 1.4× 33 259
Maria Grazia Colao 145 1.5× 34 0.9× 76 2.3× 18 0.7× 33 1.3× 23 237
Renaud Cezar 53 0.5× 54 1.5× 26 0.8× 17 0.6× 21 0.8× 19 135
Gerrit Ahrenstorf 53 0.5× 17 0.5× 21 0.6× 40 1.5× 10 0.4× 20 206
Carlos Dueñas 159 1.6× 16 0.4× 73 2.2× 19 0.7× 53 2.0× 29 234
Eleonora Tartaglia 128 1.3× 9 0.3× 36 1.1× 62 2.3× 45 1.7× 18 249
Mohsen Dashti 103 1.0× 13 0.4× 21 0.6× 18 0.7× 26 1.0× 25 189
Erin A. Goecker 209 2.1× 119 3.3× 40 1.2× 34 1.3× 10 0.4× 17 258

Countries citing papers authored by Matteo Augello

Since Specialization
Citations

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

Fields of papers citing papers by Matteo Augello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Augello

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