Francesca Scatozza

2.7k citations
12 papers · 155 · h-index 7

Impact in

Papers in

    • vaccines and immunoinformatics approaches 2
    • Cancer Immunotherapy and Biomarkers 2
    • Cancer-related Molecular Pathways 2
    • Peptidase Inhibition and Analysis 1
    • Chemokine receptors and signaling 1

Francesca Scatozza

10 papers receiving 151 citations

Peers

Francesca Scatozza
Comparison fields: 5 of 55
  • Cancer Research 25
  • Oncology 43
  • Geriatrics and Gerontology 6
  • Immunology 31
  • Dermatology 11
Replace Xirun Zheng with:
Xirun Zheng China
Judit Márton Hungary
C. Scalbert France
Wenna Chi China
David Vilanova Spain
Natasa Broit Australia
Ezanee Azlina Mohamad Hanif Malaysia
Susan Fish United States
Valerie Glutsch Germany
Xibin Zhuang China
Francesca Scatozza relative to Xirun Zheng China Xirun Zheng's profile →
Citations per field
00.5×1.5×
Xirun Zheng · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Francesca Scatozza, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Francesca Scatozza Line = papers co-authored together Francesca Scatozza links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 202047
2 201846
3 201923
4 202013
5 20209
6 20226
7 20206
8 20222
9 20231
10 20241
11 20231
12 20250

About Francesca Scatozza

Francesca Scatozza is a scholar working on Molecular Biology, Oncology, Epidemiology, Immunology and Dermatology, having authored 12 papers that have together received 155 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (2 papers), Cancer-related Molecular Pathways (2 papers), Immunotherapy and Immune Responses (2 papers), vaccines and immunoinformatics approaches (2 papers), Nail Diseases and Treatments (1 paper), Peptidase Inhibition and Analysis (1 paper), Chemokine receptors and signaling (1 paper) and Statistical Methods and Bayesian Inference (1 paper). The work is most often cited by research in Cancer Research (25 citations), Oncology (43 citations), Geriatrics and Gerontology (6 citations), Immunology (31 citations) and Dermatology (11 citations). Francesca Scatozza has collaborated with scholars based in Italy and Vietnam. Frequent co-authors include Antonio Facchiano, Claudia Giampietri, Francesco Facchiano, Daniela D’Arcangelo, Stefania Rossi, Claudio Tabolacci, Enrico Proietti, Federica Moschella, Paolo Marchetti and Luana Tomaipitinca. Their work appears in journals such as Cancers, Journal of Translational Medicine, Computational Statistics & Data Analysis, Anticancer Research and International Journal of Molecular Sciences.

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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