Maurizio Callari
- Cancer Research top 1%
- Cancer Genomics and Diagnostics 18
- MicroRNA in disease regulation 16
- Cancer-related molecular mechanisms research 15
- Molecular Biology top 5%
- Molecular Biology Techniques and Applications 10
- Gene expression and cancer classification 7
- Oncology top 5%
- Cancer Cells and Metastasis 11
- HER2/EGFR in Cancer Research 5
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- Advanced Breast Cancer Therapies 5
- Co-authors
- Maria Grazia DaidonePaola TiberioValentina AppiertoPaolo GandelliniValentina AngeloniMatteo DugoVera CappellettiValeria Musella
- Partner nations
- ItalyUnited KingdomUnited States
In The Last Decade
Maurizio Callari
56 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 109
- Cancer Research 1.1k
- Molecular Biology 1.3k
- Oncology 456
- Pulmonary and Respiratory Medicine 216
- Immunology 119
Countries citing papers authored by Maurizio Callari
This map shows the geographic impact of Maurizio Callari'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 Maurizio Callari with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maurizio Callari more than expected).
Fields of papers citing papers by Maurizio Callari
This network shows the impact of papers produced by Maurizio Callari. 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 Maurizio Callari. The network helps show where Maurizio Callari may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Maurizio Callari, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 0 | |
| 2 | 2024 | 0 | |
| 3 | 2023 | 6 | |
| 4 | 2021 | 15 | |
| 5 | 2021 | 5 | |
| 6 | 2020 | 12 | |
| 7 | 2020 | 2 | |
| 8 | 2019 | 34 | |
| 9 | 2018 | 3 | |
| 10 | 2018 | 41 | |
| 11 | 2018 | 32 | |
| 12 | 2017 | 30 | |
| 13 | 2015 | 36 | |
| 14 | 2015 | 9 | |
| 15 | By promoting cell differentiation, miR-100 sensitizes basal-like breast cancer stem cells to hormonal therapy | 2014 | 1 |
| 16 | 2014 | 8 | |
| 17 | 2013 | 66 | |
| 18 | 2013 | 23 | |
| 19 | 2013 | 83 | |
| 20 | 2012 | 47 |
About Maurizio Callari
Maurizio Callari is a scholar working on Cancer Research, Oncology and Molecular Biology, having authored 59 papers that have together received 1.9k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (18 papers), MicroRNA in disease regulation (16 papers), Cancer-related molecular mechanisms research (15 papers), Cancer Cells and Metastasis (11 papers), Molecular Biology Techniques and Applications (10 papers), Gene expression and cancer classification (7 papers), HER2/EGFR in Cancer Research (5 papers) and Advanced Breast Cancer Therapies (5 papers). The work is most often cited by research in Cancer Research (1.1k citations), Molecular Biology (1.3k citations) and Oncology (456 citations). Maurizio Callari has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Maria Grazia Daidone, Paola Tiberio, Valentina Appierto, Paolo Gandellini, Valentina Angeloni, Matteo Dugo, Vera Cappelletti, Valeria Musella, Silvia Veneroni and Loris De Cecco. Their work appears in journals such as Journal of Clinical Oncology, PLoS ONE and Cancer Research.
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.