Michele Bartoletti

118 papers receiving 3.6k citations

Peers

Michele Bartoletti
Comparison fields: 5 of 118
  • Molecular Medicine 1.2k
  • Applied Microbiology and Biotechnology 456
  • Hepatology 348
  • Clinical Biochemistry 286
  • Infectious Diseases 734
Replace Emanuele Durante‐Mangoni with:
Emanuele Durante‐Mangoni Italy
Sara Tedeschi Italy
Maddalena Giannella Italy
Leanne B. Gasink United States
Manuel Almela Spain
Francesco Cristini Italy
Hande Arslan Türkiye
Simone Ambretti Italy
Małgorzata Mikulska Italy
Gopi Patel United States
Michele Bartoletti relative to Emanuele Durante‐Mangoni Italy Emanuele Durante‐Mangoni's profile →
Citations per field
00.5×1.6×
Emanuele Durante‐Mangoni · 1×
Citations per year

Countries citing papers authored by Michele Bartoletti

Since Specialization
Citations

This map shows the geographic impact of Michele Bartoletti'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 Michele Bartoletti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michele Bartoletti more than expected).

Fields of papers citing papers by Michele Bartoletti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michele Bartoletti. 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 Michele Bartoletti. The network helps show where Michele Bartoletti may publish in the future.

Co-authors

The 25 scholars most cited alongside Michele Bartoletti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michele Bartoletti Line = papers co-authored together Michele Bartoletti links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 126 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015408
2 2014199
3 2018133
4 2017110
5 2014101
6 2021101
7 202199
8 201595
9 201493
10 202093
11 202178
12 201475
13 202174
14 202168
15 201666
16 201465
17 201464
18 202260
19 202157
20 201856

About Michele Bartoletti

Michele Bartoletti is a scholar working on Infectious Diseases, Epidemiology, Molecular Medicine, Pharmacology and Hepatology, having authored 126 papers that have together received 3.6k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (28 papers), Antibiotics Pharmacokinetics and Efficacy (16 papers), COVID-19 Clinical Research Studies (12 papers), Antibiotic Use and Resistance (11 papers), Liver Disease and Transplantation (11 papers), Bacterial Identification and Susceptibility Testing (9 papers), Antifungal resistance and susceptibility (8 papers) and Infective Endocarditis Diagnosis and Management (8 papers). The work is most often cited by research in Molecular Medicine (1.2k citations), Applied Microbiology and Biotechnology (456 citations), Hepatology (348 citations), Clinical Biochemistry (286 citations) and Infectious Diseases (734 citations). Michele Bartoletti has collaborated with scholars based in Italy, Spain and United States. Frequent co-authors include Pierluigi Viale, Maddalena Giannella, Sara Tedeschi, Russell E. Lewis, Simone Ambretti, Paolo Gaibani, Linda Bussini, Fabio Tumietto, Francesco Cristini and Renato Pascale. Their work appears in journals such as Clinical Microbiology and Infection, Journal of Antimicrobial Chemotherapy, International Journal of Antimicrobial Agents, European Journal of Clinical Microbiology & Infectious Diseases and Journal of Hepatology.

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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