M. Ferrari

80 total papers · 835 total citations
63 papers, 678 citations indexed

About

M. Ferrari is a scholar working on Epidemiology, Infectious Diseases and Agronomy and Crop Science. According to data from OpenAlex, M. Ferrari has authored 63 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 21 papers in Infectious Diseases and 19 papers in Agronomy and Crop Science. Recurrent topics in M. Ferrari's work include Herpesvirus Infections and Treatments (21 papers), Viral gastroenteritis research and epidemiology (21 papers) and Animal Disease Management and Epidemiology (19 papers). M. Ferrari is often cited by papers focused on Herpesvirus Infections and Treatments (21 papers), Viral gastroenteritis research and epidemiology (21 papers) and Animal Disease Management and Epidemiology (19 papers). M. Ferrari collaborates with scholars based in Italy, Belgium and United States. M. Ferrari's co-authors include G Castrucci, F. Frigeri, V. Cilli, Silvia Dotti, A. Corradi, Daniela Salvatori, Riccardo Villa, Bennie I. Osburn, R Gatti and Paolo Ajmone‐Marsan and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Vaccine.

In The Last Decade

M. Ferrari

62 papers receiving 645 citations

Author Peers

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

Author Last Decade Papers Cites
M. Ferrari 335 200 199 158 141 63 678
S. B. Mohanty 316 0.9× 207 1.0× 105 0.5× 113 0.7× 122 0.9× 45 612
Z. Dinter 287 0.9× 152 0.8× 279 1.4× 109 0.7× 145 1.0× 59 728
Bryans Jt 364 1.1× 149 0.7× 225 1.1× 150 0.9× 279 2.0× 33 771
Margaret Sabine 382 1.1× 145 0.7× 122 0.6× 116 0.7× 180 1.3× 31 763
Aspen M. Workman 311 0.9× 147 0.7× 166 0.8× 295 1.9× 134 1.0× 44 721
Wenliang Li 230 0.7× 241 1.2× 217 1.1× 83 0.5× 145 1.0× 53 616
Oskar‐Rüger Kaaden 320 1.0× 301 1.5× 99 0.5× 125 0.8× 99 0.7× 24 716
Rejane Schaefer 300 0.9× 208 1.0× 295 1.5× 58 0.4× 154 1.1× 47 641
G Castrucci 351 1.0× 244 1.2× 269 1.4× 186 1.2× 110 0.8× 75 724
Armando Damiani 582 1.7× 106 0.5× 223 1.1× 153 1.0× 82 0.6× 41 766

Countries citing papers authored by M. Ferrari

Since Specialization
Citations

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

Fields of papers citing papers by M. Ferrari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Ferrari

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