Daniela Visaggio

42 papers receiving 1.6k citations

Peers

Daniela Visaggio
Comparison fields: 5 of 99
  • Molecular Medicine 266
  • Clinical Biochemistry 77
  • Applied Microbiology and Biotechnology 35
  • Endocrinology 55
  • Genetics 241
Replace Arnaud Gutierrez with:
Arnaud Gutierrez France
Asher Brauner Israel
Patrick R. Secor United States
Ofer Fridman Israel
Wenming Zhu United States
Nitaya Indrawattana Thailand
Joanne L. Fothergill United Kingdom
Kasper Nørskov Kragh Denmark
Leo Y.-C. Lin United States
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Citations per field
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Citations per year

Countries citing papers authored by Daniela Visaggio

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Visaggio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 44 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016178
2 2013137
3 2018121
4 201189
5 201987
6 202376
7 201372
8 201770
9 201667
10 201465
11 201656
12 201951
13 201947
14 201544
15 201943
16 201840
17 202033
18 201222
19 202122
20 202221

About Daniela Visaggio

Daniela Visaggio is a scholar working on Molecular Medicine, Infectious Diseases, Molecular Biology, Genetics and Organic Chemistry, having authored 44 papers that have together received 1.6k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (13 papers), Bacterial Genetics and Biotechnology (7 papers), Antibiotic Resistance in Bacteria (6 papers), Antimicrobial Resistance in Staphylococcus (4 papers), Antimicrobial agents and applications (4 papers), Pneumonia and Respiratory Infections (2 papers), Microbial Community Ecology and Physiology (2 papers) and Inhalation and Respiratory Drug Delivery (2 papers). The work is most often cited by research in Molecular Medicine (266 citations), Clinical Biochemistry (77 citations), Applied Microbiology and Biotechnology (35 citations), Endocrinology (55 citations) and Genetics (241 citations). Daniela Visaggio has collaborated with scholars based in Italy, Germany and United Kingdom. Frequent co-authors include Paolo Visca, Emanuela Frangipani, Francesco Imperi, Mattia Pirolo, Livia Leoni, Carlo Bonchi, Marcella Facchini, Alessandra Bragonzi, Massimiliano Lucidi and Lawrence R. Bernstein. Their work appears in journals such as Antimicrobial Agents and Chemotherapy, Virulence, Preventive Veterinary Medicine, Applied and Environmental Microbiology and Microbiology Spectrum.

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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