Francesca Paino

3.4k total citations
48 papers, 2.8k citations indexed

About

Francesca Paino is a scholar working on Molecular Biology, Genetics and Oncology. According to data from OpenAlex, Francesca Paino has authored 48 papers receiving a total of 2.8k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 20 papers in Genetics and 17 papers in Oncology. Recurrent topics in Francesca Paino's work include Mesenchymal stem cell research (20 papers), Cancer Cells and Metastasis (12 papers) and Tissue Engineering and Regenerative Medicine (9 papers). Francesca Paino is often cited by papers focused on Mesenchymal stem cell research (20 papers), Cancer Cells and Metastasis (12 papers) and Tissue Engineering and Regenerative Medicine (9 papers). Francesca Paino collaborates with scholars based in Italy, United Kingdom and United States. Francesca Paino's co-authors include Virginia Tirino, Gianpaolo Papaccio, Vincenzo Desiderio, Alfredo De Rosa, Federica Papaccio, Marcella La Noce, Luigi Laino, Giuseppe Pirozzi, Tarik Regad and Francesco De Francesco and has published in prestigious journals such as PLoS ONE, The FASEB Journal and International Journal of Molecular Sciences.

In The Last Decade

Francesca Paino

46 papers receiving 2.7k citations

Peers

Francesca Paino
Comparison fields: 5 of 123
  • Molecular Biology 1.2k
  • Genetics 886
  • Oncology 825
  • Cancer Research 607
  • Surgery 507
Xuetao Pei China
Olivia Fromigué France
Béatrice Dozin Italy
Abdullah Aldahmash Saudi Arabia
Aideen E. Ryan Ireland
Reza Izadpanah United States
Marie Maumus France
Thomas J. Bartosh United States
Karin Stenderup Denmark
Gianluca D’Ippolito United States
Xuetao Pei China View profile →
Citations per field, relative to Francesca Paino
Francesca Paino · 1×
Citations per year, relative to Francesca Paino
Francesca Paino · 1×

Countries citing papers authored by Francesca Paino

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Paino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Paino

This figure shows the co-authorship network connecting the top 25 collaborators of Francesca Paino. A scholar is included among the top collaborators of Francesca Paino 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 Paino. Francesca Paino 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 2
2 0
3 1
4 10
5 5
6 3
7 6
8 14
9 5
10 7
11 10
12 62
13 29
14 67
15 138
16 55
17 47
18 21
19 79
20 13

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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