Francesca Scatozza

2.7k total citations
12 papers, 155 citations indexed

About

Francesca Scatozza is a scholar working on Molecular Biology, Oncology and Epidemiology. According to data from OpenAlex, Francesca Scatozza has authored 12 papers receiving a total of 155 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Epidemiology. Recurrent topics in Francesca Scatozza's work include Cancer Immunotherapy and Biomarkers (2 papers), vaccines and immunoinformatics approaches (2 papers) and Immunotherapy and Immune Responses (2 papers). Francesca Scatozza is often cited by papers focused on Cancer Immunotherapy and Biomarkers (2 papers), vaccines and immunoinformatics approaches (2 papers) and Immunotherapy and Immune Responses (2 papers). Francesca Scatozza collaborates with scholars based in Italy and Vietnam. Francesca Scatozza's co-authors include Antonio Facchiano, Claudia Giampietri, Daniela D’Arcangelo, Francesco Facchiano, Stefania Rossi, Claudio Tabolacci, Enrico Proietti, Federica Moschella, Paolo Marchetti and Luana Tomaipitinca and has published in prestigious journals such as International Journal of Molecular Sciences, Oxidative Medicine and Cellular Longevity and Cancers.

In The Last Decade

Francesca Scatozza

10 papers receiving 151 citations

Peers

Francesca Scatozza
Comparison fields: 5 of 55
  • Molecular Biology 84
  • Oncology 43
  • Immunology 31
  • Epidemiology 30
  • Cancer Research 25
Replace Natasa Broit with:
Natasa Broit Australia
Xirun Zheng China
Valerie Glutsch Germany
Judit Márton Hungary
Sarina Cameron Australia
Whitney S. Henry United States
Jennifer J. Lee United States
C. Scalbert France
Susan Fish United States
Natasa Broit Australia View profile →
Citations per field, relative to Francesca Scatozza
Francesca Scatozza · 1×
Citations per year, relative to Francesca Scatozza
Francesca Scatozza · 1×

Countries citing papers authored by Francesca Scatozza

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Scatozza

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Scatozza

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

All Works

12 of 12 papers shown
# Work Indexed citations
1 0
2 1
3 1
4 1
5 6
6 2
7 13
8 47
9 6
10 9
11 23
12 46

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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