Matteo Boattini

89 total papers · 1.2k total citations
66 papers, 764 citations indexed

About

Matteo Boattini is a scholar working on Molecular Medicine, Clinical Biochemistry and Epidemiology. According to data from OpenAlex, Matteo Boattini has authored 66 papers receiving a total of 764 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Molecular Medicine, 23 papers in Clinical Biochemistry and 22 papers in Epidemiology. Recurrent topics in Matteo Boattini's work include Antibiotic Resistance in Bacteria (41 papers), Bacterial Identification and Susceptibility Testing (23 papers) and Antibiotics Pharmacokinetics and Efficacy (17 papers). Matteo Boattini is often cited by papers focused on Antibiotic Resistance in Bacteria (41 papers), Bacterial Identification and Susceptibility Testing (23 papers) and Antibiotics Pharmacokinetics and Efficacy (17 papers). Matteo Boattini collaborates with scholars based in Italy, Portugal and Switzerland. Matteo Boattini's co-authors include Gabriele Bianco, Cristina Costa, Rossana Cavallo, Marco Iannaccone, Sara Comini, Alessandro Bondi, Paolo Gaibani, Roberto Casale, Giuliana Banche and Francesco Giuseppe De Rosa and has published in prestigious journals such as Journal of Clinical Microbiology, Antimicrobial Agents and Chemotherapy and Journal of Antimicrobial Chemotherapy.

In The Last Decade

Matteo Boattini

63 papers receiving 757 citations

Author Peers

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

Author						Papers	Cites
Matteo Boattini	450	233	223	215	160	66	764
Adam G. Stewart	311 0.7×	119 0.5×	229 1.0×	162 0.8×	115 0.7×	73	857
Sang Yop Shin	464 1.0×	147 0.6×	365 1.6×	127 0.6×	166 1.0×	35	844
Marinês Dalla Valle Martino	282 0.6×	174 0.7×	367 1.6×	121 0.6×	205 1.3×	55	868
Claudette Muller‐Serieys	338 0.8×	126 0.5×	334 1.5×	255 1.2×	93 0.6×	40	807
Theodoros Karampatakis	475 1.1×	116 0.5×	162 0.7×	144 0.7×	173 1.1×	35	677
María Isabel Morosini	477 1.1×	131 0.6×	200 0.9×	157 0.7×	103 0.6×	42	717
Michael Malczynski	406 0.9×	200 0.9×	207 0.9×	171 0.8×	179 1.1×	40	899
Rosa Gómez-Gil	554 1.2×	227 1.0×	220 1.0×	208 1.0×	135 0.8×	32	789
Seung Soon Lee	300 0.7×	147 0.6×	284 1.3×	99 0.5×	124 0.8×	38	688
W. R. Heizmann	197 0.4×	155 0.7×	234 1.0×	136 0.6×	88 0.6×	57	737

Countries citing papers authored by Matteo Boattini

Since Specialization

Citations

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

Fields of papers citing papers by Matteo Boattini

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matteo Boattini

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