Francesca Cattaneo

1.1k citations
28 papers · 811 indexed · h-index 16
Topics
Chronic Lymphocytic Leukemia Research (5 papers)PI3K/AKT/mTOR signaling in cancer (3 papers)Cancer Genomics and Diagnostics (3 papers)
Partner nations
ItalyUnited StatesCanada

In The Last Decade

Francesca Cattaneo

25 papers receiving 794 citations

Peers

Francesca Cattaneo
Comparison fields: 5 of 104
  • Molecular Biology 332
  • Pathology and Forensic Medicine 274
  • Oncology 225
  • Cancer Research 152
  • Surgery 120
Replace Vanida A. Serna with:
Vanida A. Serna United States
James Amos‐Landgraf United States
Deanne Tibbitts United States
Ihtisham Bukhari China
Rita Lopes United Kingdom
Jan‐Gowth Chang Taiwan
Haritz Irizar Spain
Zhen Sun China
T. Fujiwara Japan
Margaret Coutts United States
Francesca Cattaneo relative to Vanida A. Serna United States Vanida A. Serna's profile →
Citations per field
00.5×6.4×
Vanida A. Serna · 1×
Citations per year

Countries citing papers authored by Francesca Cattaneo

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Cattaneo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Cattaneo

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Cattaneo. A scholar is included among the top collaborators of Francesca Cattaneo 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 Francesca Cattaneo. Francesca Cattaneo 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 0
2 0
3 7
4 1
5 6
6 15
7 21
8 15
9 23
10 20
11 17
12 21
13 47
14 1
15 37
16 50
17 44
18 13
19 56
20 76

About Francesca Cattaneo

Francesca Cattaneo is a scholar working on Genetics, Hematology and Pathology and Forensic Medicine, having authored 28 papers that have together received 811 indexed citations. Recurring topics across this work include Chronic Lymphocytic Leukemia Research (5 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Cancer Genomics and Diagnostics (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (274 citations), Cancer Research (152 citations) and Oncology (225 citations). Francesca Cattaneo has collaborated with scholars based in Italy, United States and Canada. Frequent co-authors include Giuseppina Nucifora, So Fan Yim, Eitan Friedman, Guglielmina Nadia Ranzani, Yick Fu Wong, Richard Hamelin, Olivier Buhard, Alex Duval, Jean–François Fléjou and Fabrizio De Mattia. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Oncology and Journal of Neuroscience.

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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