M.P. Molinari

15 papers receiving 1.1k citations

Peers

M.P. Molinari
Comparison fields: 5 of 80
  • Applied Microbiology and Biotechnology 202
  • Molecular Medicine 275
  • Infectious Diseases 672
  • Clinical Biochemistry 151
  • Critical Care and Intensive Care Medicine 93
Replace Manuel Guzmán-Blanco with:
Manuel Guzmán-Blanco Brazil
Gregory Eschenauer United States
Carlos Fernández-Mazarrasa Spain
Vered Schechner Israel
Myrto Christofidou Greece
Daisuke Sakanashi Japan
Sungmin Kiem South Korea
Elisabeth Paramythiotou Greece
Sofia Maraki Greece
Matthew G. Stilwell United States
M.P. Molinari relative to Manuel Guzmán-Blanco Brazil Manuel Guzmán-Blanco's profile →
Citations per field
00.5×1.5×
Manuel Guzmán-Blanco · 1×
Citations per year

Countries citing papers authored by M.P. Molinari

Since Specialization
Citations

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

Fields of papers citing papers by M.P. Molinari

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside M.P. Molinari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with M.P. Molinari Line = papers co-authored together M.P. Molinari links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2006271
2 2011177
3 2007135
4 2011103
5 201195
6 200977
7 201363
8 200736
9 200733
10 201232
11 201120
12 197714
13 200613
14
Hyperdense mucoid impaction in allergic bronchopulmonary aspergillosis: CT appearance.
200410
15 20096
16
Baculovirus recombinantes como inmunógenos
20061

About M.P. Molinari

M.P. Molinari is a scholar working on Infectious Diseases, Molecular Medicine, Pharmacology, Critical Care and Intensive Care Medicine and Epidemiology, having authored 16 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antifungal resistance and susceptibility (6 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Nosocomial Infections in ICU (4 papers), Antibiotics Pharmacokinetics and Efficacy (4 papers), Antibiotic Use and Resistance (4 papers), Bacterial Identification and Susceptibility Testing (3 papers) and Fungal Infections and Studies (2 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (202 citations), Molecular Medicine (275 citations), Infectious Diseases (672 citations), Clinical Biochemistry (151 citations) and Critical Care and Intensive Care Medicine (93 citations). M.P. Molinari has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Claudio Viscoli, Matteo Bassetti, Michele Mussap, Elda Righi, F. Bobbio Pallavicini, R. Fasce, Raffaella Rosso, Alessandro Costa, Lucia Taramasso and Elena Nicco. Their work appears in journals such as Journal of Chemotherapy, Journal of Antimicrobial Chemotherapy, Clinical Microbiology and Infection, Epidemiology and Infection and Diagnostic Microbiology and Infectious Disease.

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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