Giusi Cavezza

504 citations
4 papers · 60 · h-index 3

Impact in

Papers in

    • Infective Endocarditis Diagnosis and Management 2
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • Pneumonia and Respiratory Infections 1
    • Antibiotics Pharmacokinetics and Efficacy 2

Giusi Cavezza

4 papers receiving 59 citations

Peers

Giusi Cavezza
Comparison fields: 5 of 36
  • Molecular Medicine 33
  • Applied Microbiology and Biotechnology 11
  • Pharmacology 34
  • Clinical Biochemistry 7
  • Epidemiology 28
Replace Nita Munshi with:
Nita Munshi India
Andrew Pastewski United States
Kara Brady Australia
Chao Zhuo China
Jeannet C. Bos Netherlands
Giovanni Sarteschi Italy
S. Siméon France
Laura Barcelona Argentina
Amol Kothekar India
Beatriz Dietl Spain
Giusi Cavezza relative to Nita Munshi India Nita Munshi's profile →
Citations per field
00.5×4.5×
Nita Munshi · 1×
Citations per year

Countries citing papers authored by Giusi Cavezza

Since Specialization
Citations

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

Fields of papers citing papers by Giusi Cavezza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Giusi Cavezza, 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 Giusi Cavezza Line = papers co-authored together Giusi Cavezza links everyone, so they are left out of the graph.

All Works

4 of 4 papers shown

About Giusi Cavezza

Giusi Cavezza is a scholar working on Epidemiology, Pharmacology, Molecular Medicine, Infectious Diseases and Cardiology and Cardiovascular Medicine, having authored 4 papers that have together received 60 indexed citations. Recurring topics across this work include Infective Endocarditis Diagnosis and Management (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers), Antibiotic Resistance in Bacteria (2 papers), Antimicrobial Resistance in Staphylococcus (1 paper), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Antifungal resistance and susceptibility (1 paper), Pneumonia and Respiratory Infections (1 paper) and Cardiac Valve Diseases and Treatments (1 paper). The work is most often cited by research in Molecular Medicine (33 citations), Applied Microbiology and Biotechnology (11 citations), Pharmacology (34 citations), Clinical Biochemistry (7 citations) and Epidemiology (28 citations). Giusi Cavezza has collaborated with scholars based in Italy. Frequent co-authors include Riccardo Utili, Emanuele Durante‐Mangoni, Roberto Andini, Ciro Gallo, Claudia Trojaniello, Nicola Petrosillo, R. Andini, Antonio Corcione, Claudio Viscoli and Simona Signoriello. Their work appears in journals such as Clinical Microbiology and Infection, Infection, Journal of Clinical Medicine and International Journal of Antimicrobial Agents.

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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