Giulia Tasca

1.2k citations
27 papers · 529 · h-index 11

Impact in

    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Breast Cancer Treatment Studies

Papers in

Giulia Tasca

24 papers receiving 522 citations

Peers

Giulia Tasca
Comparison fields: 5 of 42
  • Oncology 202
  • Cancer Research 103
  • Reproductive Medicine 45
  • Pathology and Forensic Medicine 87
  • Obstetrics and Gynecology 36
Replace Giovana Tardin Torrezan with:
Giovana Tardin Torrezan Brazil
Mark J. Mentrikoski United States
Yufeng Luo China
Evan Rosenbaum United States
Aparna Pallavajjala United States
Natalie Danziger United States
Ha Young Woo South Korea
Shelley A. Roberts United States
Inga Rose United States
Pritesh Trivedi United Kingdom
Giulia Tasca relative to Giovana Tardin Torrezan Brazil Giovana Tardin Torrezan's profile →
Citations per field
00.5×1.5×2×2.3×
Giovana Tardin Torrezan · 1×
Citations per year

Countries citing papers authored by Giulia Tasca

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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.

Border = papers with Giulia Tasca Line = papers co-authored together Giulia Tasca links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201382
2 201862
3 199561
4 202156
5 201948
6 202246
7 202042
8 202337
9 202021
10 201918
11 201914
12 201810
13 20168
14 20205
15 20244
16 20163
17 20242
18 20172
19 20192
20 20152

About Giulia Tasca

Giulia Tasca is a scholar working on Oncology, Pulmonary and Respiratory Medicine, Cancer Research, Obstetrics and Gynecology and Pathology and Forensic Medicine, having authored 27 papers that have together received 529 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (5 papers), Endometrial and Cervical Cancer Treatments (5 papers), Breast Cancer Treatment Studies (4 papers), Ovarian cancer diagnosis and treatment (3 papers), Breast Lesions and Carcinomas (3 papers), Lung Cancer Research Studies (3 papers), Sarcoma Diagnosis and Treatment (2 papers) and Advanced Breast Cancer Therapies (2 papers). The work is most often cited by research in Oncology (202 citations), Cancer Research (103 citations), Reproductive Medicine (45 citations), Pathology and Forensic Medicine (87 citations) and Obstetrics and Gynecology (36 citations). Giulia Tasca has collaborated with scholars based in Italy, United Kingdom and South Korea. Frequent co-authors include Valentina Guarneri, Carlo Alberto Giorgi, Gaia Griguolo, Maria Vittoria Dieci, Vassilena Tsvetkova, PierFranco Conte, Federica Miglietta, Grazia Maria Vernaci, Giuseppe Cazzato and Giovanni Masè. Their work appears in journals such as Annals of Oncology, Frontiers in Oncology, ESMO Open, Cancer Research and Calcified Tissue International.

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.

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