Gaia Giannone

1.3k citations
32 papers · 740 indexed · h-index 14
Topics
Ovarian cancer diagnosis and treatment (18 papers)PARP inhibition in cancer therapy (7 papers)Cancer Genomics and Diagnostics (5 papers)

In The Last Decade

Gaia Giannone

32 papers receiving 730 citations

Peers

Gaia Giannone
Comparison fields: 5 of 74
  • Oncology 341
  • Molecular Biology 262
  • Reproductive Medicine 204
  • Cancer Research 169
  • Immunology 156
Replace Rong‐Miao Zhou with:
Rong‐Miao Zhou China
Yoshimichi Tanaka Japan
Afroditi Karathanasi United Kingdom
Jiasen Xu China
Andrew Shih United States
Eliane T. Taube Germany
Alexander J. Cole Australia
Yuanming Shen China
Rhona J. McVey United Kingdom
Hyo Pyo Lee South Korea
Gaia Giannone relative to Rong‐Miao Zhou China Rong‐Miao Zhou's profile →
Citations per field
00.5×4.5×
Rong‐Miao Zhou · 1×
Citations per year

Countries citing papers authored by Gaia Giannone

Since Specialization
Citations

This map shows the geographic impact of Gaia Giannone'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 Gaia Giannone with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaia Giannone more than expected).

Fields of papers citing papers by Gaia Giannone

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gaia Giannone. 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 Gaia Giannone. The network helps show where Gaia Giannone may publish in the future.

Co-authorship network of co-authors of Gaia Giannone

This figure shows the co-authorship network connecting the top 25 collaborators of Gaia Giannone. A scholar is included among the top collaborators of Gaia Giannone 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 Gaia Giannone. Gaia Giannone is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 4
2 6
3 13
4 4
5 28
6 33
7 3
8 4
9 3
10 15
11 9
12 60
13 7
14 23
15 28
16 70
17 17
18 26
19 1
20
Cytoreductive surgery (cs) and hyperthermic intraperitoneal chemotherapy (hipec) in treatment of peritoneal surface malignances: report of a phase II clinical study.
3

About Gaia Giannone

Gaia Giannone is a scholar working on Reproductive Medicine, Oncology and Obstetrics and Gynecology, having authored 32 papers that have together received 740 indexed citations. Recurring topics across this work include Ovarian cancer diagnosis and treatment (18 papers), PARP inhibition in cancer therapy (7 papers) and Cancer Genomics and Diagnostics (5 papers). The work is most often cited by research in Reproductive Medicine (204 citations), Obstetrics and Gynecology (103 citations) and Oncology (341 citations). Gaia Giannone has collaborated with scholars based in Italy, United Kingdom and United States. Frequent co-authors include Giorgio Valabrega, Eleonora Ghisoni, Sofia Genta, Gloria Mittica, Massimo Aglietta, Valentina Tuninetti, Giulia Scotto, Anna Sapino, Fulvio Borella and Dionyssios Katsaros. Their work appears in journals such as Clinical Cancer Research, International Journal of Molecular Sciences and Annals of 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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