Francesca Pisano

2.0k total citations
47 papers, 435 citations indexed

About

Francesca Pisano is a scholar working on Surgery, Cognitive Neuroscience and Urology. According to data from OpenAlex, Francesca Pisano has authored 47 papers receiving a total of 435 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Surgery, 11 papers in Cognitive Neuroscience and 9 papers in Urology. Recurrent topics in Francesca Pisano's work include Bladder and Urothelial Cancer Treatments (15 papers), Urinary and Genital Oncology Studies (14 papers) and Neurobiology of Language and Bilingualism (10 papers). Francesca Pisano is often cited by papers focused on Bladder and Urothelial Cancer Treatments (15 papers), Urinary and Genital Oncology Studies (14 papers) and Neurobiology of Language and Bilingualism (10 papers). Francesca Pisano collaborates with scholars based in Italy, Spain and Poland. Francesca Pisano's co-authors include Paola Marangolo, Carlo Caltagirone, Paolo Gontero, Alberto Breda, Valentina Fiori, Alberto Priori, Joan Palou, Francesco Soria, Chiara Fiorito and Ó. Rodríguez Faba and has published in prestigious journals such as Stroke, The Journal of Urology and Journal of Cognitive Neuroscience.

In The Last Decade

Francesca Pisano

42 papers receiving 425 citations

Peers

Francesca Pisano
Comparison fields: 5 of 78
  • Surgery 179
  • Cognitive Neuroscience 88
  • Urology 83
  • Neurology 75
  • Molecular Biology 54
Replace Márcia Maiumi Fukujima with:
Márcia Maiumi Fukujima Brazil
F. Motta Italy
Helmut Pschera Sweden
Jasmine Tan United Kingdom
Charles Wang United States
Ulrich Seidel Germany
Francesco Massoni Italy
Wenhui Jiang China
So Ra Kang South Korea
Halim Yılmaz Türkiye
Márcia Maiumi Fukujima Brazil View profile →
Citations per field, relative to Francesca Pisano
Francesca Pisano · 1×
Citations per year, relative to Francesca Pisano
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Countries citing papers authored by Francesca Pisano

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Pisano

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Pisano

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Pisano. A scholar is included among the top collaborators of Francesca Pisano 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 Pisano. Francesca Pisano 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
# Work Indexed citations
1 0
2 0
3 7
4 0
5 13
6 5
7 3
8 7
9 3
10 2
11 1
12 9
13 6
14 23
15 5
16 41
17 10
18 26
19 1
20 4

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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