Daniela Barbarini

770 citations
27 papers · 499 indexed · h-index 12

Impact in

Papers in

Daniela Barbarini

25 papers receiving 484 citations

Peers

Daniela Barbarini
Comparison fields: 5 of 66
  • Endocrinology 181
  • Molecular Medicine 136
  • Clinical Biochemistry 183
  • Infectious Diseases 191
  • Applied Microbiology and Biotechnology 14
Replace David Velasco with:
David Velasco Spain
Jae Il Yoo South Korea
Kiyoko Tamai Japan
Jung Sik Yoo South Korea
María Eliecer Cano Spain
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Michel Auzou France
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Barbarini

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Barbarini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Daniela Barbarini, 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 Daniela Barbarini Line = papers co-authored together Daniela Barbarini links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20240
2 20240
3 20243
4 20226
5 20202
6 20196
7 201430
8 201411
9 201229
10 201135
11 200863
12 200732
13 200630
14 200531
15 20043
16
Colonizzazioni e infezioni da Staphylococcus aureus meticillino-resistente (SAMR) in una terapia intensiva polivalente: Analisi su un anno di osservazione
20011
17 200118
18
[Methicillin-resistant Staphylococcus aureus (MRSA) in an intensive care unit: a one-year survey].
20013
19 19973
20 199022

About Daniela Barbarini

Daniela Barbarini is a scholar working on Clinical Biochemistry, Microbiology, Endocrinology, Molecular Medicine and Infectious Diseases, having authored 27 papers that have together received 499 indexed citations. Recurring topics across this work include Bacterial Identification and Susceptibility Testing (10 papers), Antimicrobial Resistance in Staphylococcus (9 papers), Mycobacterium research and diagnosis (7 papers), Tuberculosis Research and Epidemiology (5 papers), Antibiotic Resistance in Bacteria (5 papers), Enterobacteriaceae and Cronobacter Research (3 papers), Genomics and Phylogenetic Studies (3 papers) and Infective Endocarditis Diagnosis and Management (3 papers). The work is most often cited by research in Endocrinology (181 citations), Molecular Medicine (136 citations), Clinical Biochemistry (183 citations), Infectious Diseases (191 citations) and Applied Microbiology and Biotechnology (14 citations). Daniela Barbarini has collaborated with scholars based in Italy, Netherlands and France. Frequent co-authors include Edoardo Carretto, P. Marone, Giuseppe Russello, Claudio Farina, Sylvain Brisse, Simona Scalone, Giancarlo Basaglia, Antonio Goglio, Paolo De Paoli and Mario Venditti. Their work appears in journals such as Journal of Clinical Microbiology, Infection Genetics and Evolution, Clinical Microbiology and Infection, Journal of Chemotherapy and International Journal of Infectious Diseases.

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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