Giulia Tasca

1.2k citations
27 papers · 524 · h-index 11

Impact in

  • Oncology top 10%
    • Cancer Immunotherapy and Biomarkers
    • HER2/EGFR in Cancer Research
    • Breast Cancer Treatment Studies

Papers in

Giulia Tasca

24 papers receiving 517 citations

Peers

Giulia Tasca
Comparison fields: 5 of 42
  • Oncology 201
  • Cancer Research 103
  • Reproductive Medicine 44
  • Obstetrics and Gynecology 36
  • Pathology and Forensic Medicine 86
Replace Giovana Tardin Torrezan with:
Giovana Tardin Torrezan Brazil
Roberta Merola Italy
Evan Rosenbaum United States
Natalie Danziger United States
Mark J. Mentrikoski United States
Ha Young Woo South Korea
Pritesh Trivedi United Kingdom
Michael J. Quist United States
Shelley A. Roberts United States
Agnieszka Dansonka‐Mieszkowska Poland
Giulia Tasca relative to Giovana Tardin Torrezan Brazil Giovana Tardin Torrezan's profile →
Citations per field
00.5×1.5×2.3×
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 201380
2 201861
3 199560
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 20242
17 20172
18 20192
19 20162
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 524 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 (201 citations), Cancer Research (103 citations), Reproductive Medicine (44 citations), Obstetrics and Gynecology (36 citations) and Pathology and Forensic Medicine (86 citations). Giulia Tasca has collaborated with scholars based in Italy, United Kingdom and South Korea. Frequent co-authors include Valentina Guarneri, Gaia Griguolo, Maria Vittoria Dieci, Carlo Alberto Giorgi, Vassilena Tsvetkova, PierFranco Conte, Federica Miglietta, Grazia Maria Vernaci, Enrico Orvieto and Giovanni Faggioni. Their work appears in journals such as Annals of Oncology, ESMO Open, Cancer Research, Frontiers in Oncology and Journal of Clinical Oncology.

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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