Francesco Monaco

40 total papers · 501 total citations
17 papers, 263 citations indexed

About

Francesco Monaco is a scholar working on Molecular Medicine, Epidemiology and Infectious Diseases. According to data from OpenAlex, Francesco Monaco has authored 17 papers receiving a total of 263 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Medicine, 5 papers in Epidemiology and 4 papers in Infectious Diseases. Recurrent topics in Francesco Monaco's work include Antibiotic Resistance in Bacteria (7 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Francesco Monaco is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers) and Bacterial Identification and Susceptibility Testing (2 papers). Francesco Monaco collaborates with scholars based in Italy, Lebanon and Türkiye. Francesco Monaco's co-authors include Pier Giulio Conaldi, Gian María Rossolini, Vincenzo Di Pilato, Marco Coppi, Tommaso Giani, Nicola Cuscino, Bruno Douradinha, Cristina Boccagni, Francesca Cardinale and Floriana Barbera and has published in prestigious journals such as Neurology, Clinical Infectious Diseases and Antimicrobial Agents and Chemotherapy.

In The Last Decade

Francesco Monaco

16 papers receiving 254 citations

Author Peers

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

Author Last Decade Papers Cites
Francesco Monaco 119 77 52 48 40 17 263
Qiwen Yang 131 1.1× 68 0.9× 61 1.2× 47 1.0× 36 0.9× 22 274
Kévin Alexandre 106 0.9× 65 0.8× 80 1.5× 66 1.4× 61 1.5× 20 310
Dorji Harnod 146 1.2× 36 0.5× 47 0.9× 50 1.0× 28 0.7× 15 260
Manoj Kumar Sah 79 0.7× 30 0.4× 33 0.6× 27 0.6× 37 0.9× 30 314
Yanping Xu 134 1.1× 39 0.5× 56 1.1× 25 0.5× 42 1.1× 22 257
Andreu Coello Pelegrin 165 1.4× 101 1.3× 85 1.6× 29 0.6× 19 0.5× 12 285
Б. Чарра 132 1.1× 73 0.9× 13 0.3× 78 1.6× 44 1.1× 27 244
Jie He 125 1.1× 31 0.4× 71 1.4× 22 0.5× 55 1.4× 14 302
Puja Amatya 100 0.8× 53 0.7× 28 0.5× 20 0.4× 18 0.5× 18 176
Chen Chen 87 0.7× 65 0.8× 91 1.8× 18 0.4× 22 0.6× 15 331

Countries citing papers authored by Francesco Monaco

Since Specialization
Citations

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

Fields of papers citing papers by Francesco Monaco

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesco Monaco

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