Francesca Scatozza
Impact in
- Epidemiology top 2%
- Autophagy in Disease and Therapy
- Physiology top 2%
- Calcium signaling and nucleotide metabolism
Papers in
- Oncology 4
- Cancer Immunotherapy and Biomarkers 2
- Co-authors
- Antonio Facchiano (12 shared papers)Claudia Giampietri (7 shared papers)Francesco Facchiano (5 shared papers)Daniela D’Arcangelo (5 shared papers)Stefania Rossi (2 shared papers)Claudio Tabolacci (2 shared papers)Enrico Proietti (1 shared paper)Federica Moschella (1 shared paper)
In The Last Decade
Francesca Scatozza
14 papers receiving 2.2k citations
Francesca Scatozza's Hit Papers
Peers
Comparison fields: 5 of 127
- Epidemiology 1.1k
- Physiology 148
- Geriatrics and Gerontology 70
- Aging 34
- Cell Biology 302
Countries citing papers authored by Francesca Scatozza
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
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.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | Guidelines for the use and interpretation of assays for monitoring autophagy (4th edition) 1 Hit paper breakdown → | 2021 | 2038 |
| 2 | 2018 | 50 | |
| 3 | 2020 | 49 | |
| 4 | 2019 | 24 | |
| 5 | 2020 | 15 | |
| 6 | 2020 | 11 | |
| 7 | 2022 | 7 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2022 | 4 | |
| 11 | 2024 | 3 | |
| 12 | 2023 | 2 | |
| 13 | 2023 | 1 | |
| 14 | 2021 | 1 | |
| 15 | 2025 | 0 | |
| 16 | 2019 | 0 |
About Francesca Scatozza
Francesca Scatozza is a scholar working on Cancer Research, Oncology, Dermatology, Molecular Biology and Epidemiology, having authored 16 papers that have together received 2.2k indexed citations. Recurring topics across this work include Autophagy in Disease and Therapy (3 papers), Cancer Immunotherapy and Biomarkers (2 papers), RNA Interference and Gene Delivery (2 papers), vaccines and immunoinformatics approaches (2 papers), RNA regulation and disease (2 papers), Immunotherapy and Immune Responses (2 papers), Statistical Methods in Clinical Trials (1 paper) and Biochemical and Molecular Research (1 paper). The work is most often cited by research in Epidemiology (1.1k citations), Physiology (148 citations), Geriatrics and Gerontology (70 citations), Aging (34 citations) and Cell Biology (302 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, Autophagy, International Journal of Molecular Sciences, Anticancer Research and Journal of Experimental & Clinical Cancer Research.
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.