Massimo Crapis
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria 5
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus 9
- COVID-19 Clinical Research Studies 5
- Clinical Biochemistry top 5%
- Bacterial Identification and Susceptibility Testing 5
- Pharmacology top 10%
- Antibiotics Pharmacokinetics and Efficacy 6
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- Infective Endocarditis Diagnosis and Management 9
- Sepsis Diagnosis and Treatment 6
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- Streptococcal Infections and Treatments 6
- Co-authors
- Pierluigi VialeFederico PeaFrancesco CristiniCamilla NegriMario FurlanutFederica PavanMatteo BassettiVeronica Ravasio
- Journals
- International Journal of Antimicrobial Agents (4 papers)Future Microbiology (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- ItalyUnited StatesVietnam
In The Last Decade
Massimo Crapis
30 papers receiving 583 citations
Peers
Comparison fields: 5 of 64
- Molecular Medicine 115
- Applied Microbiology and Biotechnology 45
- Infectious Diseases 284
- Clinical Biochemistry 93
- Pharmacology 157
Countries citing papers authored by Massimo Crapis
This map shows the geographic impact of Massimo Crapis'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 Massimo Crapis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Massimo Crapis more than expected).
Fields of papers citing papers by Massimo Crapis
This network shows the impact of papers produced by Massimo Crapis. 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 Massimo Crapis. The network helps show where Massimo Crapis may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Massimo Crapis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 2 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 0 | |
| 5 | 2024 | 0 | |
| 6 | 2023 | 1 | |
| 7 | 2023 | 0 | |
| 8 | 2023 | 4 | |
| 9 | 2022 | 14 | |
| 10 | 2022 | 1 | |
| 11 | 2022 | 0 | |
| 12 | 2016 | 33 | |
| 13 | 2016 | 57 | |
| 14 | 2014 | 71 | |
| 15 | 2013 | 12 | |
| 16 | 2008 | 32 | |
| 17 | 2008 | 27 | |
| 18 | 2008 | 13 | |
| 19 | 2006 | 5 | |
| 20 | 2006 | 23 |
About Massimo Crapis
Massimo Crapis is a scholar working on Applied Microbiology and Biotechnology, Infectious Diseases and Molecular Medicine, having authored 35 papers that have together received 590 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (9 papers), Infective Endocarditis Diagnosis and Management (9 papers), Streptococcal Infections and Treatments (6 papers), Sepsis Diagnosis and Treatment (6 papers), Antibiotics Pharmacokinetics and Efficacy (6 papers), Antibiotic Resistance in Bacteria (5 papers), COVID-19 Clinical Research Studies (5 papers) and Bacterial Identification and Susceptibility Testing (5 papers). The work is most often cited by research in Molecular Medicine (115 citations), Applied Microbiology and Biotechnology (45 citations) and Infectious Diseases (284 citations). Massimo Crapis has collaborated with scholars based in Italy, United States and Vietnam. Frequent co-authors include Pierluigi Viale, Federico Pea, Francesco Cristini, Camilla Negri, Mario Furlanut, Federica Pavan, Matteo Bassetti, Veronica Ravasio, Emanuele Durante‐Mangoni and Manuela Avolio. Their work appears in journals such as International Journal of Antimicrobial Agents, Future Microbiology, Antimicrobial Agents and Chemotherapy, Infection and Journal of Clinical Medicine.
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.