Davide Cirillo
Impact in
- Health Informatics top 0.5%
- Artificial Intelligence in Healthcare and Education
- Cancer Research top 10%
- Cancer-related molecular mechanisms research
Papers in
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- RNA Research and Splicing 8
- Bioinformatics and Genomic Networks 5
- Genomics and Chromatin Dynamics 4
- RNA modifications and cancer 2
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- COVID-19 diagnosis using AI 2
- Co-authors
- Gian Gaetano Tartaglia (15 shared papers)Alfonso Valencia (15 shared papers)Federico Agostini (9 shared papers)Benedetta Bolognesi (4 shared papers)Doménica Marchese (4 shared papers)Petr Klus (3 shared papers)Andreas Zanzoni (2 shared papers)María José Rementeria (5 shared papers)
- Journals
- Bioinformatics (3 papers)Nucleic Acids Research (3 papers)Journal of Medical Internet Research (2 papers)iScience (2 papers)npj Digital Medicine (2 papers)
- Partner nations
- SpainItalyUnited States
In The Last Decade
Davide Cirillo
37 papers receiving 1.7k citations
Davide Cirillo's Hit Papers
Peers
Comparison fields: 5 of 149
- Health Informatics 192
- Cancer Research 233
- Molecular Biology 895
- Health Information Management 59
- Safety Research 52
Countries citing papers authored by Davide Cirillo
This map shows the geographic impact of Davide Cirillo'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 Cirillo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Cirillo more than expected).
Fields of papers citing papers by Davide Cirillo
This network shows the impact of papers produced by Davide Cirillo. 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 Cirillo. The network helps show where Davide Cirillo may publish in the future.
Co-authors
The 25 scholars most cited alongside Davide Cirillo, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Sex and gender differences and biases in artificial intelligence for biomedicine and healthcare Hit paper breakdown → | 2020 | 362 |
| 2 | 2016 | 226 | |
| 3 | 2013 | 218 | |
| 4 | 2019 | 182 | |
| 5 | 2016 | 93 | |
| 6 | 2014 | 86 | |
| 7 | 2012 | 59 | |
| 8 | 2011 | 40 | |
| 9 | 2013 | 39 | |
| 10 | 2012 | 39 | |
| 11 | 2015 | 38 | |
| 12 | 2014 | 33 | |
| 13 | 2011 | 29 | |
| 14 | 2021 | 28 | |
| 15 | 2020 | 24 | |
| 16 | 2012 | 23 | |
| 17 | 2021 | 21 | |
| 18 | 2012 | 20 | |
| 19 | 2014 | 20 | |
| 20 | 2023 | 19 |
About Davide Cirillo
Davide Cirillo is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging, Health Informatics, Artificial Intelligence and Public Health, Environmental and Occupational Health, having authored 39 papers that have together received 1.7k indexed citations. Recurring topics across this work include RNA Research and Splicing (8 papers), Bioinformatics and Genomic Networks (5 papers), Genomics and Chromatin Dynamics (4 papers), Sex and Gender in Healthcare (4 papers), COVID-19 diagnosis using AI (2 papers), Diversity and Career in Medicine (2 papers), RNA modifications and cancer (2 papers) and Misinformation and Its Impacts (2 papers). The work is most often cited by research in Health Informatics (192 citations), Cancer Research (233 citations), Molecular Biology (895 citations), Health Information Management (59 citations) and Safety Research (52 citations). Davide Cirillo has collaborated with scholars based in Spain, Italy and United States. Frequent co-authors include Gian Gaetano Tartaglia, Alfonso Valencia, Federico Agostini, Benedetta Bolognesi, Doménica Marchese, Petr Klus, Andreas Zanzoni, María José Rementeria, Antonella Santuccione Chadha and Silvina Catuara‐Solarz. Their work appears in journals such as Bioinformatics, Nucleic Acids Research, Journal of Medical Internet Research, iScience and npj Digital Medicine.
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.