Daniela Scribano
Impact in
- Endocrinology top 2%
- Escherichia coli research studies
- Molecular Medicine top 2%
- Antibiotic Resistance in Bacteria
Papers in
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- Escherichia coli research studies 14
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- Antibiotic Resistance in Bacteria 12
- Co-authors
- Cecilia Ambrosi (39 shared papers)Anna Teresa Palamara (30 shared papers)Meysam Sarshar (22 shared papers)Carlo Zagaglia (17 shared papers)Payam Behzadi (4 shared papers)Mauro Nicoletti (9 shared papers)Giovanni Di Bonaventura (3 shared papers)Arianna Pompilio (3 shared papers)
- Journals
- Pathogens (3 papers)International Journal of Molecular Sciences (2 papers)PLoS ONE (2 papers)International Journal of Environmental Research and Public Health (2 papers)Frontiers in Microbiology (2 papers)
- Partner nations
- ItalyIranSwitzerland
In The Last Decade
Daniela Scribano
45 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 84
- Endocrinology 184
- Molecular Medicine 259
- Physiology 63
- Microbiology 48
- Infectious Diseases 107
Countries citing papers authored by Daniela Scribano
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
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.
All Works
Showing the 20 most-cited of 47 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 152 | |
| 2 | 2020 | 121 | |
| 3 | 2017 | 91 | |
| 4 | 2019 | 83 | |
| 5 | 2021 | 71 | |
| 6 | 2020 | 55 | |
| 7 | 2020 | 54 | |
| 8 | 2020 | 49 | |
| 9 | 2020 | 46 | |
| 10 | 2017 | 37 | |
| 11 | 2012 | 36 | |
| 12 | 2020 | 36 | |
| 13 | 2017 | 33 | |
| 14 | 2019 | 27 | |
| 15 | 2014 | 26 | |
| 16 | 2014 | 25 | |
| 17 | 2016 | 23 | |
| 18 | 2024 | 20 | |
| 19 | 2019 | 18 | |
| 20 | 2017 | 16 |
About Daniela Scribano
Daniela Scribano is a scholar working on Endocrinology, Molecular Medicine, Oncology, Genetics and Infectious Diseases, having authored 47 papers that have together received 1.2k indexed citations. Recurring topics across this work include Escherichia coli research studies (14 papers), Antibiotic Resistance in Bacteria (12 papers), Polyomavirus and related diseases (6 papers), Bacterial Genetics and Biotechnology (5 papers), Bacterial biofilms and quorum sensing (4 papers), Urinary Tract Infections Management (4 papers), Gut microbiota and health (3 papers) and Adenosine and Purinergic Signaling (2 papers). The work is most often cited by research in Endocrinology (184 citations), Molecular Medicine (259 citations), Physiology (63 citations), Microbiology (48 citations) and Infectious Diseases (107 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, Giovanni Di Bonaventura, Arianna Pompilio, Carla Prezioso and Andrea Masotti. Their work appears in journals such as Pathogens, International Journal of Molecular Sciences, PLoS ONE, International Journal of Environmental Research and Public Health and Frontiers in Microbiology.
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.