Chiara Tuccilli
Impact in
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- Thyroid Cancer Diagnosis and Treatment
- Thyroid Disorders and Treatments
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- Cancer-related Molecular Pathways
- Cancer Immunotherapy and Biomarkers
Papers in
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- Thyroid Cancer Diagnosis and Treatment 9
- Thyroid Disorders and Treatments 4
- Oncology 6
- Cancer-related Molecular Pathways 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Enke Baldini (17 shared papers)Salvatore Ulisse (17 shared papers)Salvatore Sorrenti (16 shared papers)A Catania (13 shared papers)Natalie Prinzi (11 shared papers)M D’Armiento (8 shared papers)Carmela Coccaro (8 shared papers)Alessandro Antonelli (6 shared papers)
In The Last Decade
Chiara Tuccilli
17 papers receiving 294 citations
Peers
Comparison fields: 5 of 55
- Endocrinology, Diabetes and Metabolism 180
- Oncology 109
- Cancer Research 37
- Cell Biology 36
- Pathology and Forensic Medicine 31
Countries citing papers authored by Chiara Tuccilli
This map shows the geographic impact of Chiara Tuccilli'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 Chiara Tuccilli with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chiara Tuccilli more than expected).
Fields of papers citing papers by Chiara Tuccilli
This network shows the impact of papers produced by Chiara Tuccilli. 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 Chiara Tuccilli. The network helps show where Chiara Tuccilli may publish in the future.
Co-authors
The 25 scholars most cited alongside Chiara Tuccilli, 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 | 2019 | 36 | |
| 2 | 2014 | 35 | |
| 3 | 2015 | 28 | |
| 4 | 2018 | 27 | |
| 5 | 2014 | 27 | |
| 6 | 2015 | 26 | |
| 7 | 2018 | 26 | |
| 8 | 2017 | 22 | |
| 9 | PAPILLARY THYROID CANCER IS CHARACTERIZED BY ALTERED EXPRESSION OF GENES INVOLVED IN THE SUMOYLATION PROCESS. | 2015 | 16 |
| 10 | 2014 | 14 | |
| 11 | 2015 | 10 | |
| 12 | 2022 | 10 | |
| 13 | 2015 | 7 | |
| 14 | Selective inhibitors of aurora kinases inhibit proliferation, reduce cell viability and impair cell cycle progression in papillary thyroid carcinoma cells. | 2016 | 7 |
| 15 | The dual Aurora kinase inhibitor ZM447439 prevents anaplastic thyroid cancer cell growth and tumorigenicity. | 2013 | 6 |
| 16 | New molecular approaches in the diagnosis and prognosis of thyroid cancer patients. | 2013 | 3 |
| 17 | 2013 | 2 |
About Chiara Tuccilli
Chiara Tuccilli is a scholar working on Endocrinology, Diabetes and Metabolism, Oncology, Cell Biology, Molecular Biology and Genetics, having authored 17 papers that have together received 302 indexed citations. Recurring topics across this work include Thyroid Cancer Diagnosis and Treatment (9 papers), Microtubule and mitosis dynamics (5 papers), Thyroid Disorders and Treatments (4 papers), Cancer-related Molecular Pathways (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), BRCA gene mutations in cancer (3 papers), Cancer Immunotherapy and Biomarkers (2 papers) and Protist diversity and phylogeny (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (180 citations), Oncology (109 citations), Cancer Research (37 citations), Cell Biology (36 citations) and Pathology and Forensic Medicine (31 citations). Chiara Tuccilli has collaborated with scholars based in Italy, France and Bulgaria. Frequent co-authors include Enke Baldini, Salvatore Ulisse, Salvatore Sorrenti, A Catania, Natalie Prinzi, M D’Armiento, Carmela Coccaro, Alessandro Antonelli, Daniele Pironi and Enrico De Antoni. Their work appears in journals such as Nutrition, International Journal of Molecular Sciences, PLoS ONE, International Journal of Surgery and Breast Cancer Research and Treatment.
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.