Daniela Califano
Impact in
- Cancer Research top 5%
- Cancer-related molecular mechanisms research
- MicroRNA in disease regulation
- Oncology top 5%
- Cancer-related Molecular Pathways
Papers in
-
- Ovarian cancer diagnosis and treatment 11
- Oncology 29
- Cancer-related Molecular Pathways 11
- PARP inhibition in cancer therapy 7
- Cancer Immunotherapy and Biomarkers 5
- Co-authors
- Alfredo FuscoGiuseppe VigliettoGennaro ChiappettaMaria Letizia MottiMassimo SantoroGiovanni SantelliAmelia D’AlessioPaola Bruni
- Journals
- Cancer Treatment Reviews (3 papers)Journal of Biological Chemistry (3 papers)Oncotarget (3 papers)Journal of Medicinal Chemistry (3 papers)Journal of Cellular Physiology (2 papers)
- Partner nations
- ItalyUnited StatesFrance
In The Last Decade
Daniela Califano
60 papers receiving 2.5k citations
Hit Papers
Peers
Comparison fields: 5 of 91
- Cancer Research 577
- Oncology 964
- Molecular Biology 1.6k
- Reproductive Medicine 174
- Endocrinology, Diabetes and Metabolism 289
Countries citing papers authored by Daniela Califano
This map shows the geographic impact of Daniela Califano'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 Califano with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniela Califano more than expected).
Fields of papers citing papers by Daniela Califano
This network shows the impact of papers produced by Daniela Califano. 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 Califano. The network helps show where Daniela Califano may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Daniela Califano, 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 | 1 | |
| 2 | 2025 | 0 | |
| 3 | 2023 | 4 | |
| 4 | 2022 | 9 | |
| 5 | 2022 | 18 | |
| 6 | 2020 | 2 | |
| 7 | 2017 | 119 | |
| 8 | 2017 | 67 | |
| 9 | 2016 | 62 | |
| 10 | 2011 | 48 | |
| 11 | 2011 | 28 | |
| 12 | 2008 | 59 | |
| 13 | 2007 | 31 | |
| 14 | 2005 | 5 | |
| 15 | 2000 | 35 | |
| 16 | 2000 | 49 | |
| 17 | 1999 | 88 | |
| 18 | 1997 | 91 | |
| 19 | 1996 | 32 | |
| 20 | 1993 | 7 |
About Daniela Califano
Daniela Califano is a scholar working on Reproductive Medicine, Oncology, Cell Biology, Toxicology and Cancer Research, having authored 62 papers that have together received 2.6k indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (11 papers), Ovarian cancer diagnosis and treatment (11 papers), PARP inhibition in cancer therapy (7 papers), Microtubule and mitosis dynamics (6 papers), Cellular Mechanics and Interactions (6 papers), Thyroid Cancer Diagnosis and Treatment (6 papers), Ubiquitin and proteasome pathways (5 papers) and Cancer Immunotherapy and Biomarkers (5 papers). The work is most often cited by research in Cancer Research (577 citations), Oncology (964 citations), Molecular Biology (1.6k citations), Reproductive Medicine (174 citations) and Endocrinology, Diabetes and Metabolism (289 citations). Daniela Califano has collaborated with scholars based in Italy, United States and France. Frequent co-authors include Alfredo Fusco, Giuseppe Viglietto, Gennaro Chiappetta, Maria Letizia Motti, Massimo Santoro, Giovanni Santelli, Amelia D’Alessio, Paola Bruni, Rosa Marina Melillo and Alfonso Bellacosa. Their work appears in journals such as Cancer Treatment Reviews, Journal of Biological Chemistry, Oncotarget, Journal of Medicinal Chemistry and Journal of Cellular Physiology.
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.