Daniela Scribano

1.5k citations
44 papers · 1.1k · h-index 18

Impact in

Papers in

Daniela Scribano

41 papers receiving 1.1k citations

Peers

Daniela Scribano
Comparison fields: 5 of 107
  • Molecular Medicine 294
  • Endocrinology 269
  • Physiology 69
  • Infectious Diseases 194
  • Microbiology 66
Replace Cecilia Ambrosi with:
Cecilia Ambrosi Italy
Brooke A. Napier United States
Tahir Hussain United States
Siddharth Pratap United States
Hafid Soualhine Canada
Young Ree Kim South Korea
Evangelos D. Anastassiou Greece
Jonathon P. Audia United States
Soichiro Kimura Japan
Benito Regueiro Spain
Daniela Scribano relative to Cecilia Ambrosi Italy Cecilia Ambrosi's profile →
Citations per field
00.5×8.6×
Cecilia Ambrosi · 1×
Citations per year

Countries citing papers authored by Daniela Scribano

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Scribano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Daniela Scribano, 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 Scribano Line = papers co-authored together Daniela Scribano 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 2021146
2 2020115
3 201790
4 201976
5 202159
6 202053
7 202053
8 202047
9 202045
10 202036
11 201236
12 201735
13 201732
14 201926
15 201425
16 201425
17 201622
18 202417
19 201916
20 201716

About Daniela Scribano

Daniela Scribano is a scholar working on Endocrinology, Molecular Medicine, Molecular Biology, Infectious Diseases and Epidemiology, having authored 44 papers that have together received 1.1k indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (13 papers), Escherichia coli research studies (13 papers), Vibrio bacteria research studies (5 papers), Polyomavirus and related diseases (5 papers), Bacterial biofilms and quorum sensing (5 papers), Bacterial Genetics and Biotechnology (4 papers), Full-Duplex Wireless Communications (3 papers) and Urinary Tract Infections Management (3 papers). The work is most often cited by research in Molecular Medicine (294 citations), Endocrinology (269 citations), Physiology (69 citations), Infectious Diseases (194 citations) and Microbiology (66 citations). Daniela Scribano has collaborated with scholars based in Italy, Iran and Switzerland. Frequent co-authors include Cecilia Ambrosi, Anna Teresa Palamara, Meysam Sarshar, Carlo Zagaglia, Payam Behzadi, Mauro Nicoletti, Carla Prezioso, Arianna Pompilio, Giovanni Di Bonaventura and Andrea Masotti. Their work appears in journals such as Pathogens, Frontiers in Microbiology, International Journal of Environmental Research and Public Health, International Journal of Molecular Sciences and PLoS ONE.

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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