Davide Fiore Bavaro

120 total papers · 2.1k total citations
73 papers, 1.0k citations indexed

About

Davide Fiore Bavaro is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Davide Fiore Bavaro has authored 73 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 22 papers in Epidemiology and 14 papers in Molecular Medicine. Recurrent topics in Davide Fiore Bavaro's work include Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (11 papers) and COVID-19 Clinical Research Studies (9 papers). Davide Fiore Bavaro is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (11 papers) and COVID-19 Clinical Research Studies (9 papers). Davide Fiore Bavaro collaborates with scholars based in Italy, United Kingdom and Belgium. Davide Fiore Bavaro's co-authors include Annalisa Saracino, Francesco Di Gennaro, Massimo Fantoni, Rita Murri, Francesco Vladimiro Segala, Alessandra Belati, Claudia Marotta, Lucia Diella, Nicola Veronese and Lorenzo Cerruti and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Sensors.

In The Last Decade

Davide Fiore Bavaro

72 papers receiving 1.0k citations

Author Peers

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

Author Last Decade Papers Cites
Davide Fiore Bavaro 414 239 203 180 154 73 1.0k
Benjamin Davido 407 1.0× 339 1.4× 189 0.9× 123 0.7× 111 0.7× 108 1.0k
Michelle Brown 316 0.8× 390 1.6× 246 1.2× 131 0.7× 211 1.4× 48 973
Constantinos Tsioutis 346 0.8× 238 1.0× 290 1.4× 172 1.0× 138 0.9× 72 1.2k
Sarah B. Doernberg 372 0.9× 373 1.6× 116 0.6× 227 1.3× 113 0.7× 77 1.1k
Oryan Henig 287 0.7× 179 0.7× 232 1.1× 109 0.6× 117 0.8× 39 794
Antonios Papadopoulos 298 0.7× 198 0.8× 70 0.3× 57 0.3× 59 0.4× 59 1.0k
Kerrie Watson 339 0.8× 287 1.2× 171 0.8× 66 0.4× 42 0.3× 23 897
Masahiro Ishikane 379 0.9× 416 1.7× 58 0.3× 209 1.2× 61 0.4× 118 1.1k
Christopher M. Bland 210 0.5× 351 1.5× 104 0.5× 136 0.8× 290 1.9× 89 1.2k
Mohammed Garout 234 0.6× 140 0.6× 135 0.7× 118 0.7× 38 0.2× 68 952

Countries citing papers authored by Davide Fiore Bavaro

Since Specialization
Citations

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

Fields of papers citing papers by Davide Fiore Bavaro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide Fiore Bavaro. 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 Davide Fiore Bavaro. The network helps show where Davide Fiore Bavaro may publish in the future.

Co-authorship network of co-authors of Davide Fiore Bavaro

This figure shows the co-authorship network connecting the top 25 collaborators of Davide Fiore Bavaro. A scholar is included among the top collaborators of Davide Fiore Bavaro 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 Davide Fiore Bavaro. Davide Fiore Bavaro 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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