Giulia Tasca
Impact in
- Oncology top 10%
- Cancer Immunotherapy and Biomarkers
- HER2/EGFR in Cancer Research
- Cancer Cells and Metastasis
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- Breast Cancer Treatment Studies
Papers in
- Oncology 15
- Cancer Immunotherapy and Biomarkers 5
- Lung Cancer Research Studies 3
- Cancer Cells and Metastasis 2
- Co-authors
- Valentina Guarneri (13 shared papers)Maria Vittoria Dieci (10 shared papers)Gaia Griguolo (10 shared papers)Carlo Alberto Giorgi (9 shared papers)Vassilena Tsvetkova (7 shared papers)Pierfranco Conté (12 shared papers)Federica Miglietta (9 shared papers)Grazia Maria Vernaci (6 shared papers)
In The Last Decade
Giulia Tasca
23 papers receiving 493 citations
Peers
Comparison fields: 5 of 48
- Oncology 271
- Cancer Research 139
- Reproductive Medicine 74
- Pathology and Forensic Medicine 107
- Genetics 56
Countries citing papers authored by Giulia Tasca
This map shows the geographic impact of Giulia Tasca'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 Giulia Tasca with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giulia Tasca more than expected).
Fields of papers citing papers by Giulia Tasca
This network shows the impact of papers produced by Giulia Tasca. 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 Giulia Tasca. The network helps show where Giulia Tasca may publish in the future.
Co-authors
The 25 scholars most cited alongside Giulia Tasca, 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 26 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 78 | |
| 2 | 2018 | 59 | |
| 3 | 1995 | 59 | |
| 4 | 2021 | 53 | |
| 5 | 2022 | 45 | |
| 6 | 2019 | 44 | |
| 7 | 2020 | 39 | |
| 8 | 2023 | 36 | |
| 9 | 2020 | 19 | |
| 10 | 2019 | 18 | |
| 11 | 2019 | 14 | |
| 12 | 2018 | 9 | |
| 13 | 2016 | 8 | |
| 14 | 2020 | 5 | |
| 15 | 2024 | 3 | |
| 16 | 2016 | 2 | |
| 17 | 2015 | 2 | |
| 18 | 2024 | 2 | |
| 19 | 2017 | 2 | |
| 20 | 2019 | 2 |
About Giulia Tasca
Giulia Tasca is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Reproductive Medicine and Obstetrics and Gynecology, having authored 26 papers that have together received 502 indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (6 papers), Ovarian cancer diagnosis and treatment (6 papers), Endometrial and Cervical Cancer Treatments (5 papers), Cancer Immunotherapy and Biomarkers (5 papers), Lung Cancer Research Studies (3 papers), Immune Cell Function and Interaction (3 papers), Breast Lesions and Carcinomas (3 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Oncology (271 citations), Cancer Research (139 citations), Reproductive Medicine (74 citations), Pathology and Forensic Medicine (107 citations) and Genetics (56 citations). Giulia Tasca has collaborated with scholars based in Italy, Spain and Australia. Frequent co-authors include Valentina Guarneri, Maria Vittoria Dieci, Gaia Griguolo, Carlo Alberto Giorgi, Vassilena Tsvetkova, Pierfranco Conté, Federica Miglietta, Grazia Maria Vernaci, Emanuele Biasutti and Giovanni Faggioni. Their work appears in journals such as Annals of Oncology, ESMO Open, Frontiers in Oncology, Cancer Research and Blood.
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.