Giuditta Cuccuru
- Molecular Biology
- Oncology
- Endocrinology, Diabetes and Metabolism top 10%
- Cancer Research
- Pathology and Forensic Medicine
- Co-authors
- Giuliana CassinelliCinzia LanziFranco ZuninoGraziella PratesiMonica TortoretoGiovanna PetrangoliniDiletta LaccabueChiara Zanchi
- Topics
- Cancer-related Molecular Pathways (8 papers)Thyroid Cancer Diagnosis and Treatment (5 papers)Ubiquitin and proteasome pathways (4 papers)
- Journals
- JNCI Journal of the National Cancer InstituteAnnals of the New York Academy of SciencesCellular and Molecular Life Sciences
- Partner nations
- ItalyUnited StatesCyprus
In The Last Decade
Giuditta Cuccuru
17 papers receiving 487 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 265
- Oncology 185
- Endocrinology, Diabetes and Metabolism 120
- Cancer Research 68
- Pathology and Forensic Medicine 55
Countries citing papers authored by Giuditta Cuccuru
This map shows the geographic impact of Giuditta Cuccuru'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 Giuditta Cuccuru with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giuditta Cuccuru more than expected).
Fields of papers citing papers by Giuditta Cuccuru
This network shows the impact of papers produced by Giuditta Cuccuru. 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 Giuditta Cuccuru. The network helps show where Giuditta Cuccuru may publish in the future.
Co-authorship network of co-authors of Giuditta Cuccuru
This figure shows the co-authorship network connecting the top 25 collaborators of Giuditta Cuccuru. A scholar is included among the top collaborators of Giuditta Cuccuru based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Giuditta Cuccuru. Giuditta Cuccuru is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 43 | |
| 2 | 9 | |
| 3 | 8 | |
| 4 | 23 | |
| 5 | 6 | |
| 6 | 16 | |
| 7 | 31 | |
| 8 | 39 | |
| 9 | 96 | |
| 10 | 42 | |
| 11 | 5 | |
| 12 | Cellular bases of the antitumor activity of the novel taxane IDN 5109 (BAY59-8862) on hormone-refractory prostate cancer. | 32 |
| 13 | 63 | |
| 14 | 48 | |
| 15 | 2 | |
| 16 | 37 | |
| 17 | [Nutritional habits of homozygote beta-thalassemic subjects]. | 2 |
About Giuditta Cuccuru
Giuditta Cuccuru is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology and Hematology, having authored 17 papers that have together received 502 indexed citations. Recurring topics across this work include Cancer-related Molecular Pathways (8 papers), Thyroid Cancer Diagnosis and Treatment (5 papers) and Ubiquitin and proteasome pathways (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (120 citations), Oncology (185 citations) and Cancer Research (68 citations). Giuditta Cuccuru has collaborated with scholars based in Italy, United States and Cyprus. Frequent co-authors include Giuliana Cassinelli, Cinzia Lanzi, Franco Zunino, Graziella Pratesi, Monica Tortoreto, Giovanna Petrangolini, Diletta Laccabue, Chiara Zanchi, Valentina Zuco and Rosanna Supino. Their work appears in journals such as JNCI Journal of the National Cancer Institute, Annals of the New York Academy of Sciences and Cellular and Molecular Life Sciences.
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.