Ambrogio Curtolo
- Molecular Medicine top 5%
- Epidemiology
- Infectious Diseases
- Dermatology top 10%
- Surgery
- Co-authors
- Alessandra OlivaMario VendittiFrancesco Cogliati DezzaGiammarco RaponiClaudio Maria MastroianniLorenzo VolpicelliGiancarlo CeccarelliParni Nijhawan
- Topics
- Antibiotic Resistance in Bacteria (5 papers)COVID-19 Clinical Research Studies (4 papers)Bacterial Identification and Susceptibility Testing (3 papers)
In The Last Decade
Ambrogio Curtolo
13 papers receiving 239 citations
Peers
Comparison fields: 5 of 54
- Molecular Medicine 76
- Epidemiology 76
- Infectious Diseases 61
- Dermatology 55
- Surgery 49
Countries citing papers authored by Ambrogio Curtolo
This map shows the geographic impact of Ambrogio Curtolo'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 Ambrogio Curtolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ambrogio Curtolo more than expected).
Fields of papers citing papers by Ambrogio Curtolo
This network shows the impact of papers produced by Ambrogio Curtolo. 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 Ambrogio Curtolo. The network helps show where Ambrogio Curtolo may publish in the future.
Co-authorship network of co-authors of Ambrogio Curtolo
This figure shows the co-authorship network connecting the top 25 collaborators of Ambrogio Curtolo. A scholar is included among the top collaborators of Ambrogio Curtolo 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 Ambrogio Curtolo. Ambrogio Curtolo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 12 | |
| 2 | 3 | |
| 3 | 2 | |
| 4 | Convalescent plasma for haematological patients with SARS-CoV-2 pneumonia and severe depletion of B-cell lymphocytes following anti-CD20 therapy: a single-centre experience and review of the literature | 7 |
| 5 | 13 | |
| 6 | 24 | |
| 7 | 24 | |
| 8 | 0 | |
| 9 | 62 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | 13 | |
| 13 | Monocyte absolute count as a preliminary tool to distinguish between SARS-CoV-2 and influenza A/B infections in patients requiring hospitalization. | 3 |
| 14 | 54 |
About Ambrogio Curtolo
Ambrogio Curtolo is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Clinical Biochemistry, having authored 14 papers that have together received 240 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (5 papers), COVID-19 Clinical Research Studies (4 papers) and Bacterial Identification and Susceptibility Testing (3 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (43 citations), Molecular Medicine (76 citations) and Dermatology (55 citations). Ambrogio Curtolo has collaborated with scholars based in Italy and Myanmar. Frequent co-authors include Alessandra Oliva, Mario Venditti, Francesco Cogliati Dezza, Giammarco Raponi, Claudio Maria Mastroianni, Lorenzo Volpicelli, Giancarlo Ceccarelli, Parni Nijhawan, Camilla Ajassa and L. Mantovani. Their work appears in journals such as Frontiers in Immunology, International Journal of Antimicrobial Agents 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.