Francesca Scatozza

2.9k citations
12 papers · 161 · h-index 7

Impact in

Papers in

    • vaccines and immunoinformatics approaches 2
    • Ion channel regulation and function 1
    • Cancer Immunotherapy and Biomarkers 2
    • Chemokine receptors and signaling 1

Francesca Scatozza

10 papers receiving 157 citations

Peers

Francesca Scatozza
Comparison fields: 5 of 55
  • Oncology 35
  • Dermatology 11
  • Immunology 27
  • Geriatrics and Gerontology 4
  • Cancer Research 17
Replace Xirun Zheng with:
Xirun Zheng China
Natasa Broit Australia
C. Scalbert France
Željko Mijušković Serbia
Jennifer J. Lee United States
Yongyan Dang China
Wenna Chi China
Zhaofu Wang China
Judit Márton Hungary
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 202049
2 201846
3 201923
4 202013
5 202010
6 20227
7 20206
8 20223
9 20242
10 20231
11 20231
12 20250

About Francesca Scatozza

Francesca Scatozza is a scholar working on Molecular Biology, Oncology, Dermatology, Epidemiology and Immunology, having authored 12 papers that have together received 161 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (2 papers), Cancer Immunotherapy and Biomarkers (2 papers), vaccines and immunoinformatics approaches (2 papers), Contact Dermatitis and Allergies (1 paper), Microbial Inactivation Methods (1 paper), Ion channel regulation and function (1 paper), Chemokine receptors and signaling (1 paper) and Statistical Methods in Clinical Trials (1 paper). The work is most often cited by research in Oncology (35 citations), Dermatology (11 citations), Immunology (27 citations), Geriatrics and Gerontology (4 citations) and Cancer Research (17 citations). Francesca Scatozza has collaborated with scholars based in Italy and Vietnam. Frequent co-authors include Antonio Facchiano, Claudia Giampietri, Daniela D’Arcangelo, Francesco Facchiano, Claudio Tabolacci, Stefania Rossi, Enrico Proietti, Federica Moschella, Paolo Marchetti and Luana Tomaipitinca. Their work appears in journals such as Cancers, Oxidative Medicine and Cellular Longevity, Anticancer Research, Journal of Experimental & Clinical Cancer Research and Computational Statistics & Data Analysis.

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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