Davide Fiore Bavaro
- Infectious Diseases top 5%
- Epidemiology
- Molecular Medicine top 2%
- Applied Microbiology and Biotechnology top 1%
- Pharmacology top 10%
- Co-authors
- Annalisa SaracinoFrancesco Di GennaroMassimo FantoniRita MurriFrancesco Vladimiro SegalaAlessandra BelatiClaudia MarottaLucia Diella
- Topics
- Antibiotic Resistance in Bacteria (14 papers)Antibiotic Use and Resistance (11 papers)COVID-19 Clinical Research Studies (9 papers)
- Journals
- SHILAP Revista de lepidopterologíaInternational Journal of Molecular SciencesSensors
- Partner nations
- ItalyUnited KingdomSpain
In The Last Decade
Davide Fiore Bavaro
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 103
- Infectious Diseases 421
- Epidemiology 243
- Molecular Medicine 205
- Applied Microbiology and Biotechnology 180
- Pharmacology 154
Countries citing papers authored by Davide Fiore Bavaro
This map shows the geographic impact of Davide Fiore Bavaro'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 Davide Fiore Bavaro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Fiore Bavaro more than expected).
Fields of papers citing papers by Davide Fiore Bavaro
This network shows the impact of papers produced by Davide Fiore Bavaro. 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 Davide Fiore Bavaro. The network helps show where Davide Fiore Bavaro may publish in the future.
Co-authorship network of co-authors of Davide Fiore Bavaro
This figure shows the co-authorship network connecting the top 25 collaborators of Davide Fiore Bavaro. A scholar is included among the top collaborators of Davide Fiore Bavaro 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 Davide Fiore Bavaro. Davide Fiore Bavaro is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 4 | |
| 5 | 1 | |
| 6 | 18 | |
| 7 | 1 | |
| 8 | 3 | |
| 9 | 1 | |
| 10 | 32 | |
| 11 | 28 | |
| 12 | 25 | |
| 13 | 136 | |
| 14 | 73 | |
| 15 | 10 | |
| 16 | 6 | |
| 17 | 5 | |
| 18 | 10 | |
| 19 | 3 | |
| 20 | 13 |
About Davide Fiore Bavaro
Davide Fiore Bavaro is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Virology, having authored 74 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (11 papers) and COVID-19 Clinical Research Studies (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (180 citations), Molecular Medicine (205 citations) and Infectious Diseases (421 citations). Davide Fiore Bavaro has collaborated with scholars based in Italy, United Kingdom and Spain. Frequent co-authors include Annalisa Saracino, Francesco Di Gennaro, Massimo Fantoni, Rita Murri, Francesco Vladimiro Segala, Alessandra Belati, Claudia Marotta, Lucia Diella, Amina Abdulle and Nicola Veronese. Their work appears in journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Sensors.
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.