Daniela Scribano

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

Impact in

Papers in

Daniela Scribano

40 papers receiving 1.1k citations

Peers

Daniela Scribano
Comparison fields: 5 of 107
  • Molecular Medicine 291
  • Endocrinology 258
  • Physiology 69
  • Microbiology 66
  • Infectious Diseases 186
Replace Cecilia Ambrosi with:
Cecilia Ambrosi Italy
Brooke A. Napier United States
Siddharth Pratap United States
Evangelos D. Anastassiou Greece
Tahir Hussain United States
Hafid Soualhine Canada
Young Ree Kim South Korea
Pierre Sauvanet France
Jonathon P. Audia United States
Soichiro Kimura Japan
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 43 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2021143
2 2020114
3 201788
4 201975
5 202158
6 202053
7 202051
8 202047
9 202042
10 202036
11 201235
12 201735
13 201731
14 201926
15 201422
16 201421
17 201621
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 43 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), Adenosine and Purinergic Signaling (3 papers) and Full-Duplex Wireless Communications (3 papers). The work is most often cited by research in Molecular Medicine (291 citations), Endocrinology (258 citations), Physiology (69 citations), Microbiology (66 citations) and Infectious Diseases (186 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, Giovanni Di Bonaventura, Arianna Pompilio and Andrea Masotti. Their work appears in journals such as Pathogens, PLoS ONE, Frontiers in Microbiology, International Journal of Molecular Sciences and International Journal of Environmental Research and Public Health.

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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