Davide Pirolli
Impact in
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- Sirtuins and Resveratrol in Medicine
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- Antimicrobial Peptides and Activities
Papers in
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- Ubiquitin and proteasome pathways 4
- Muscle Physiology and Disorders 2
- Cancer therapeutics and mechanisms 2
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- Toxin Mechanisms and Immunotoxins 2
- Co-authors
- Maria Cristina De Rosa (25 shared papers)Bruno Giardina (11 shared papers)Benedetta Righino (13 shared papers)Francesco Ria (5 shared papers)Gabriele Di Sante (4 shared papers)Silvana Ficarra (5 shared papers)Manuela Bozzi (3 shared papers)Francesca Sciandra (3 shared papers)
In The Last Decade
Davide Pirolli
27 papers receiving 393 citations
Peers
Comparison fields: 5 of 96
- Geriatrics and Gerontology 21
- Microbiology 22
- Molecular Biology 212
- Computational Theory and Mathematics 47
- Immunology 49
Countries citing papers authored by Davide Pirolli
This map shows the geographic impact of Davide Pirolli'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 Davide Pirolli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Pirolli more than expected).
Fields of papers citing papers by Davide Pirolli
This network shows the impact of papers produced by Davide Pirolli. 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 Davide Pirolli. The network helps show where Davide Pirolli may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Pirolli, 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 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 40 | |
| 2 | 2014 | 39 | |
| 3 | 2023 | 36 | |
| 4 | 2011 | 30 | |
| 5 | 2018 | 28 | |
| 6 | 2016 | 22 | |
| 7 | 2013 | 21 | |
| 8 | 2015 | 19 | |
| 9 | 2021 | 18 | |
| 10 | 2010 | 18 | |
| 11 | 2011 | 16 | |
| 12 | 2022 | 15 | |
| 13 | 2012 | 12 | |
| 14 | 2011 | 11 | |
| 15 | 2015 | 11 | |
| 16 | 2015 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2017 | 8 | |
| 19 | 2018 | 7 | |
| 20 | 2019 | 7 |
About Davide Pirolli
Davide Pirolli is a scholar working on Molecular Biology, Immunology, Physiology, Cell Biology and Oncology, having authored 28 papers that have together received 396 indexed citations. Recurring topics across this work include Erythrocyte Function and Pathophysiology (5 papers), Hemoglobin structure and function (4 papers), Ubiquitin and proteasome pathways (4 papers), Muscle Physiology and Disorders (2 papers), Hemoglobinopathies and Related Disorders (2 papers), Computational Drug Discovery Methods (2 papers), Cancer therapeutics and mechanisms (2 papers) and Toxin Mechanisms and Immunotoxins (2 papers). The work is most often cited by research in Geriatrics and Gerontology (21 citations), Microbiology (22 citations), Molecular Biology (212 citations), Computational Theory and Mathematics (47 citations) and Immunology (49 citations). Davide Pirolli has collaborated with scholars based in Italy, Sweden and Norway. Frequent co-authors include Maria Cristina De Rosa, Bruno Giardina, Benedetta Righino, Francesco Ria, Gabriele Di Sante, Silvana Ficarra, Manuela Bozzi, Francesca Sciandra, Andrea Brancaccio and Antonio Galtieri. Their work appears in journals such as Scientific Reports, Journal of Molecular Graphics and Modelling, PLoS ONE, iScience and European Journal of Medicinal Chemistry.
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.