Davide Fiore Bavaro

2.1k total citations
74 papers, 1.1k citations indexed

About

Davide Fiore Bavaro is a scholar working on Infectious Diseases, Epidemiology and Molecular Medicine. According to data from OpenAlex, Davide Fiore Bavaro has authored 74 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Infectious Diseases, 23 papers in Epidemiology and 14 papers in Molecular Medicine. Recurrent topics in Davide Fiore Bavaro's work include Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (11 papers) and COVID-19 Clinical Research Studies (9 papers). Davide Fiore Bavaro is often cited by papers focused on Antibiotic Resistance in Bacteria (14 papers), Antibiotic Use and Resistance (11 papers) and COVID-19 Clinical Research Studies (9 papers). Davide Fiore Bavaro collaborates with scholars based in Italy, United Kingdom and United States. Davide Fiore Bavaro's 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 and has published in prestigious journals such as SHILAP Revista de lepidopterología, International Journal of Molecular Sciences and Sensors.

In The Last Decade

Davide Fiore Bavaro

72 papers receiving 1.0k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Davide Fiore Bavaro Italy 18 421 243 205 180 154 74 1.1k
Benjamin Davido France 18 408 1.0× 347 1.4× 193 0.9× 124 0.7× 113 0.7× 108 1.0k
Yu Bin Seo South Korea 22 401 1.0× 763 3.1× 218 1.1× 72 0.4× 125 0.8× 100 1.3k
Shinya Tsuzuki Japan 21 512 1.2× 425 1.7× 75 0.4× 150 0.8× 36 0.2× 104 1.3k
Oryan Henig Israel 14 288 0.7× 183 0.8× 236 1.2× 111 0.6× 118 0.8× 39 805
Sarah B. Doernberg United States 19 376 0.9× 378 1.6× 116 0.6× 229 1.3× 113 0.7× 77 1.1k
Kerrie Watson Australia 16 340 0.8× 287 1.2× 173 0.8× 65 0.4× 42 0.3× 23 900
Masahiro Ishikane Japan 16 386 0.9× 420 1.7× 62 0.3× 216 1.2× 61 0.4× 120 1.1k
Antonios Papadopoulos Greece 18 300 0.7× 199 0.8× 71 0.3× 58 0.3× 60 0.4× 60 1.0k
Jessica P. Ridgway United States 22 926 2.2× 664 2.7× 38 0.2× 154 0.9× 108 0.7× 94 1.5k
Christopher M. Bland United States 19 212 0.5× 353 1.5× 105 0.5× 137 0.8× 291 1.9× 89 1.2k

Countries citing papers authored by Davide Fiore Bavaro

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

20 of 20 papers shown
1.
Merli, Michele, Andrea Costantini, Silvio Tafuri, et al.. (2024). Management of vaccinations in patients with non‐Hodgkin lymphoma. British Journal of Haematology. 204(5). 1617–1634. 1 indexed citations
2.
Segala, Francesco Vladimiro, Roberta Papagni, Sergio Cotugno, et al.. (2023). Stool Xpert MTB/RIF as a possible diagnostic alternative to sputum in Africa: a systematic review and meta-analysis. Frontiers in Public Health. 11. 1117709–1117709. 4 indexed citations
3.
Diella, Lucia, Davide Fiore Bavaro, Giacomo Loseto, et al.. (2023). Current therapies for chronic lymphocytic leukemia: risk and prophylaxis strategies for secondary/opportunistic infections. Expert Review of Hematology. 16(4). 267–276. 2 indexed citations
4.
5.
Cicco, Sebastiano, Claudia Morelli, Davide Fiore Bavaro, et al.. (2023). Lung Ultrasound Is Useful for Evaluating Lung Damage in COVID-19 Patients Treated with Bamlanivimab and Etesevimab: A Single-Center Pilot Study. Medicina. 59(2). 203–203. 1 indexed citations
6.
7.
Bartoletti, Michele, Linda Bussini, Davide Fiore Bavaro, & Valeria Cento. (2023). What do clinicians mean by epidemics' preparedness. Clinical Microbiology and Infection. 30(5). 586–591. 1 indexed citations
8.
Minoia, Carla, Lucia Diella, Tommasina Perrone, et al.. (2023). Oral anti‐viral therapy for early COVID‐19 infection in patients with haematological malignancies: A multicentre prospective cohort. British Journal of Haematology. 202(5). 928–936. 4 indexed citations
9.
10.
Bavaro, Davide Fiore, Andrea De Vito, Giuseppe Pasculli, et al.. (2022). Early versus delayed antiretroviral therapy based on genotypic resistance test: Results from a large retrospective cohort study. Journal of Medical Virology. 94(8). 3890–3899. 3 indexed citations
11.
Veronese, Nicola, Sergio Cotugno, Lee Smith, et al.. (2022). Interventions for Improving Long COVID-19 Symptomatology: A Systematic Review. Viruses. 14(9). 1863–1863. 32 indexed citations
12.
Vita, Elda De, et al.. (2022). Immunogenicity and safety of the BNT162b2 COVID‐19 mRNA vaccine in PLWH: A monocentric study in Bari, Italy. Journal of Medical Virology. 94(5). 2230–2236. 28 indexed citations
13.
Bavaro, Davide Fiore, Gaetano Brindicci, Giovanni Luzzi, et al.. (2021). Dalbavancin Efficacy and Impact on Hospital Length-of-Stay and Treatment Costs in Different Gram-Positive Bacterial Infections. Clinical Drug Investigation. 41(5). 437–448. 25 indexed citations
14.
Gennaro, Francesco Di, Rita Murri, Francesco Vladimiro Segala, et al.. (2021). Attitudes towards Anti-SARS-CoV2 Vaccination among Healthcare Workers: Results from a National Survey in Italy. Viruses. 13(3). 371–371. 136 indexed citations
15.
Altini, Nicola, Antonio Brunetti, Stefano Mazzoleni, et al.. (2021). Predictive Machine Learning Models and Survival Analysis for COVID-19 Prognosis Based on Hematochemical Parameters. Sensors. 21(24). 8503–8503. 10 indexed citations
16.
Bavaro, Davide Fiore, Alessandra Belati, Lucia Diella, et al.. (2021). Cefiderocol-Based Combination Therapy for “Difficult-to-Treat” Gram-Negative Severe Infections: Real-Life Case Series and Future Perspectives. Antibiotics. 10(6). 652–652. 73 indexed citations
17.
Gennaro, Francesco Di, Silvia Negri, Roberta Papagni, et al.. (2021). Low-Wage Agricultural Migrant Workers in Apulian Ghettos, Italy: General Health Conditions Assessment and HIV Screening. Tropical Medicine and Infectious Disease. 6(4). 184–184. 6 indexed citations
18.
19.
Lepore, Luciana, Claudia Fabrizio, Davide Fiore Bavaro, et al.. (2020). Gp120 substitutions at positions associated with resistance to fostemsavir in treatment-naive HIV-1-positive individuals. Journal of Antimicrobial Chemotherapy. 75(6). 1580–1587. 13 indexed citations
20.
Bavaro, Davide Fiore, Francesco Di Gennaro, Enrico Girardi, et al.. (2020). Lost to follow-up: a challenge over 10 years. AIDS Care. 33(12). 1621–1626. 3 indexed citations

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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