Giuseppe D’Aiuto

4.1k citations
90 papers · 2.8k indexed · h-index 28
Topics
Breast Cancer Treatment Studies (31 papers)Cancer Treatment and Pharmacology (22 papers)Estrogen and related hormone effects (15 papers)

In The Last Decade

Giuseppe D’Aiuto

89 papers receiving 2.7k citations

Peers

Giuseppe D’Aiuto
Comparison fields: 5 of 114
  • Oncology 1.4k
  • Cancer Research 1.2k
  • Molecular Biology 697
  • Genetics 533
  • Radiology, Nuclear Medicine and Imaging 346
Replace E. McDermott with:
E. McDermott Ireland
M. Bontenbal Netherlands
Ann Knoop Denmark
Masakuni Noguchi Japan
Agustí Barnadas Spain
J.-C. Gazet United Kingdom
Katsumasa Kuroi Japan
Björn Erikstein Norway
Kathleen M. Darcy United States
Timothy G. Cooke United Kingdom
Giuseppe D’Aiuto relative to E. McDermott Ireland E. McDermott's profile →
Citations per field
00.5×1.6×
E. McDermott · 1×
Citations per year

Countries citing papers authored by Giuseppe D’Aiuto

Since Specialization
Citations

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

Fields of papers citing papers by Giuseppe D’Aiuto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Giuseppe D’Aiuto. 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 Giuseppe D’Aiuto. The network helps show where Giuseppe D’Aiuto may publish in the future.

Co-authorship network of co-authors of Giuseppe D’Aiuto

This figure shows the co-authorship network connecting the top 25 collaborators of Giuseppe D’Aiuto. A scholar is included among the top collaborators of Giuseppe D’Aiuto 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 Giuseppe D’Aiuto. Giuseppe D’Aiuto 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 7
2 71
3 9
4 44
5 169
6 20
7 54
8 121
9 56
10 107
11 17
12 10
13 173
14 41
15 1
16 26
17 4
18 23
19 2
20 1

About Giuseppe D’Aiuto

Giuseppe D’Aiuto is a scholar working on Cancer Research, Oncology and Immunology and Allergy, having authored 90 papers that have together received 2.8k indexed citations. Recurring topics across this work include Breast Cancer Treatment Studies (31 papers), Cancer Treatment and Pharmacology (22 papers) and Estrogen and related hormone effects (15 papers). The work is most often cited by research in Cancer Research (1.2k citations), Oncology (1.4k citations) and Immunology and Allergy (158 citations). Giuseppe D’Aiuto has collaborated with scholars based in Italy, United States and Malaysia. Frequent co-authors include Gerardo Botti, Silvana Del Vecchio, Maria Vincenza Carriero, Marco Salvatore, Maria Patrizia Stoppelli, Renato Thomas, Massimo Rinaldo, Massimiliano D’Aiuto, Andrea Ciarmiello and Paola Franco. Their work appears in journals such as Circulation, Journal of Clinical Oncology and JNCI Journal of the National Cancer Institute.

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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