Marco Machetti

714 total citations
8 papers, 505 citations indexed

About

Marco Machetti is a scholar working on Epidemiology, Infectious Diseases and Cell Biology. According to data from OpenAlex, Marco Machetti has authored 8 papers receiving a total of 505 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Epidemiology, 5 papers in Infectious Diseases and 3 papers in Cell Biology. Recurrent topics in Marco Machetti's work include Fungal Infections and Studies (5 papers), Antifungal resistance and susceptibility (5 papers) and Plant Pathogens and Fungal Diseases (3 papers). Marco Machetti is often cited by papers focused on Fungal Infections and Studies (5 papers), Antifungal resistance and susceptibility (5 papers) and Plant Pathogens and Fungal Diseases (3 papers). Marco Machetti collaborates with scholars based in Italy and Brazil. Marco Machetti's co-authors include Claudio Viscoli, Oliviero E. Varnier, Maria Teresa Van Lint, Andrea Bacigalupo, Paola Cappellano, Paolo Bruzzi, Barbara Bucci, Paola Gazzola, Andrea De Maria and Francesca Gualandi and has published in prestigious journals such as Clinical Infectious Diseases, Journal of Clinical Microbiology and Medical Mycology.

In The Last Decade

Marco Machetti

8 papers receiving 484 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Marco Machetti Italy 6 340 324 164 98 82 8 505
Jean‐Philippe Talarmin France 10 173 0.5× 202 0.6× 55 0.3× 58 0.6× 20 0.2× 18 318
Margit Hummel Germany 12 440 1.3× 449 1.4× 94 0.6× 30 0.3× 139 1.7× 17 625
Marjorie Vieira Batista Brazil 13 247 0.7× 225 0.7× 113 0.7× 51 0.5× 15 0.2× 45 447
F Mateička Slovakia 10 160 0.5× 169 0.5× 47 0.3× 17 0.2× 30 0.4× 25 321
S. Matsuura United States 12 302 0.9× 1.1k 3.3× 61 0.4× 18 0.2× 30 0.4× 20 1.2k
Lily Blair United States 8 204 0.6× 109 0.3× 54 0.3× 105 1.1× 9 0.1× 12 316
Marjorie Cornu France 13 232 0.7× 267 0.8× 19 0.1× 25 0.3× 25 0.3× 24 400
Emmanuel De Laere Belgium 8 249 0.7× 282 0.9× 24 0.1× 28 0.3× 34 0.4× 17 391
Nicolas Guigue France 15 347 1.0× 259 0.8× 21 0.1× 9 0.1× 63 0.8× 26 475
Alexandre Vargas Schwarzbold Brazil 7 107 0.3× 112 0.3× 54 0.3× 22 0.2× 6 0.1× 20 210

Countries citing papers authored by Marco Machetti

Since Specialization
Citations

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

Fields of papers citing papers by Marco Machetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marco Machetti

This figure shows the co-authorship network connecting the top 25 collaborators of Marco Machetti. A scholar is included among the top collaborators of Marco Machetti 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 Marco Machetti. Marco Machetti is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

8 of 8 papers shown
1.
Orsi, Carlotta Francesca, William Gennari, Claudia Venturelli, et al.. (2012). Performance of 2 commercial real-time polymerase chain reaction assays for the detection of Aspergillus and Pneumocystis DNA in bronchoalveolar lavage fluid samples from critical care patients. Diagnostic Microbiology and Infectious Disease. 73(2). 138–143. 25 indexed citations
2.
Zotti, Mirca, et al.. (2010). A new species,Aspergillus persii, as an agent of onychomycosis. Medical Mycology. 48(4). 656–660. 16 indexed citations
3.
Machetti, Marco & Anna Marchese. (2009). Antigenic and anticorpal diagnosis of invasive aspergillosis and candidosis in immunocompromised host. Microbiologia medica. 24(1). 1 indexed citations
4.
Machetti, Marco & Claudio Viscoli. (2006). [Interactions and false positive results of galactomannan antigen detection for diagnosis of invasive aspergillosis].. PubMed. 14(4). 197–207. 1 indexed citations
5.
Viscoli, Claudio, Oliviero E. Varnier, & Marco Machetti. (2005). Infections in Patients with Febrile Neutropenia: Epidemiology, Microbiology, and Risk Stratification. Clinical Infectious Diseases. 40(Supplement_4). S240–S245. 162 indexed citations
6.
Viscoli, Claudio, Marco Machetti, Paola Cappellano, et al.. (2004). False‐Positive Galactomannan PlateliaAspergillusTest Results for Patients Receiving Piperacillin‐Tazobactam. Clinical Infectious Diseases. 38(6). 913–916. 191 indexed citations
7.
Viscoli, Claudio, Marco Machetti, Paola Gazzola, et al.. (2002). Aspergillus Galactomannan Antigen in the Cerebrospinal Fluid of Bone Marrow Transplant Recipients with Probable Cerebral Aspergillosis. Journal of Clinical Microbiology. 40(4). 1496–1499. 101 indexed citations
8.
Burlando, Bruno, et al.. (1996). A study of the genetic variability in populations of the European woodcock(scolopax rusticola)by random amplification of polymorphic dna. Italian Journal of Zoology. 63(1). 31–36. 8 indexed citations

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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