G. Ventura
- Epidemiology
- Infectious Diseases top 10%
- Surgery
- Applied Microbiology and Biotechnology top 5%
- Molecular Medicine top 10%
- Co-authors
- Roberto CaudaMaurizio SanguinettiMassimo FantoniMothanje Barbara LuciaEnrica TamburriniBrunella PosteraroRita MurriAndrea Antinori
- Topics
- Pneumocystis jirovecii pneumonia detection and treatment (12 papers)Pneumonia and Respiratory Infections (5 papers)Antifungal resistance and susceptibility (5 papers)
- Journals
- SHILAP Revista de lepidopterologíaEuropean Respiratory JournalJournal of Medical Microbiology
- Partner nations
- ItalyUnited StatesJapan
In The Last Decade
G. Ventura
35 papers receiving 443 citations
Peers
Comparison fields: 5 of 91
- Epidemiology 239
- Infectious Diseases 215
- Surgery 61
- Applied Microbiology and Biotechnology 61
- Molecular Medicine 51
Countries citing papers authored by G. Ventura
This map shows the geographic impact of G. Ventura'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 G. Ventura with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Ventura more than expected).
Fields of papers citing papers by G. Ventura
This network shows the impact of papers produced by G. Ventura. 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 G. Ventura. The network helps show where G. Ventura may publish in the future.
Co-authorship network of co-authors of G. Ventura
This figure shows the co-authorship network connecting the top 25 collaborators of G. Ventura. A scholar is included among the top collaborators of G. Ventura 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 G. Ventura. G. Ventura is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 23 | |
| 2 | 12 | |
| 3 | Performance evaluation of the (1,3)-β-D-glucan detection assay in non-intensive care unit adult patients | 0 |
| 4 | 13 | |
| 5 | 15 | |
| 6 | 12 | |
| 7 | 20 | |
| 8 | 21 | |
| 9 | 5 | |
| 10 | 17 | |
| 11 | 16 | |
| 12 | 26 | |
| 13 | 12 | |
| 14 | 13 | |
| 15 | 41 | |
| 16 | 30 | |
| 17 | 1 | |
| 18 | [Natural killer (NK) activity in patients with HIV infection]. | 1 |
| 19 | 2 | |
| 20 | 9 |
About G. Ventura
G. Ventura is a scholar working on Applied Microbiology and Biotechnology, Space and Planetary Science and Infectious Diseases, having authored 38 papers that have together received 454 indexed citations. Recurring topics across this work include Pneumocystis jirovecii pneumonia detection and treatment (12 papers), Pneumonia and Respiratory Infections (5 papers) and Antifungal resistance and susceptibility (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (61 citations), Infectious Diseases (215 citations) and Molecular Medicine (51 citations). G. Ventura has collaborated with scholars based in Italy, United States and Japan. Frequent co-authors include Roberto Cauda, Maurizio Sanguinetti, Massimo Fantoni, Mothanje Barbara Lucia, Enrica Tamburrini, Brunella Posteraro, Rita Murri, Andrea Antinori, G. Maiuro and Giancarlo Scoppettuolo. Their work appears in journals such as SHILAP Revista de lepidopterología, European Respiratory Journal and Journal of Medical Microbiology.
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.