Francesca Davato

1.0k total citations
9 papers, 125 citations indexed

About

Francesca Davato is a scholar working on Physiology, Genetics and Molecular Biology. According to data from OpenAlex, Francesca Davato has authored 9 papers receiving a total of 125 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Physiology, 3 papers in Genetics and 2 papers in Molecular Biology. Recurrent topics in Francesca Davato's work include Diabetes and associated disorders (3 papers), Diet and metabolism studies (2 papers) and Adipose Tissue and Metabolism (1 paper). Francesca Davato is often cited by papers focused on Diabetes and associated disorders (3 papers), Diet and metabolism studies (2 papers) and Adipose Tissue and Metabolism (1 paper). Francesca Davato collaborates with scholars based in Italy, Germany and United Kingdom. Francesca Davato's co-authors include Marina Cardellini, Massimo Federici, Rossella Menghini, Iris Cardolini, Marta Ballanti, Stefano Rizza, Ottavia Porzio, Arnaldo Ippoliti, Alessio Farcomeni and Viviana Casagrande and has published in prestigious journals such as Diabetes, Atherosclerosis and Nutrition Metabolism and Cardiovascular Diseases.

In The Last Decade

Francesca Davato

9 papers receiving 123 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Francesca Davato Italy 7 42 31 30 29 22 9 125
Huacong Deng China 5 32 0.8× 52 1.7× 25 0.8× 14 0.5× 15 0.7× 12 113
Avgi Andreou United Kingdom 5 66 1.6× 20 0.6× 31 1.0× 38 1.3× 22 1.0× 8 241
Marta Fanlo‐Maresma Spain 8 19 0.5× 26 0.8× 25 0.8× 25 0.9× 12 0.5× 13 119
Igor A. Sklyanik Russia 6 50 1.2× 31 1.0× 46 1.5× 20 0.7× 10 0.5× 27 121
Mohamed Sami Mourali Tunisia 7 27 0.6× 17 0.5× 30 1.0× 76 2.6× 14 0.6× 48 175
M. Bala Germany 6 26 0.6× 78 2.5× 53 1.8× 26 0.9× 39 1.8× 10 152
Émilie Gobeil Canada 7 27 0.6× 63 2.0× 23 0.8× 38 1.3× 11 0.5× 15 121

Countries citing papers authored by Francesca Davato

Since Specialization
Citations

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

Fields of papers citing papers by Francesca Davato

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Francesca Davato

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

All Works

9 of 9 papers shown
1.
Rizza, Stefano, Alessio Farcomeni, Marina Cardellini, et al.. (2021). IL-6 Levels Influence 3-Month All-Cause Mortality in Frail Hospitalized Older Patients. Aging and Disease. 12(2). 353–353. 8 indexed citations
2.
Rizza, Stefano, Marcello Chiocchi, Alfonso Bellia, et al.. (2021). Metabolic characteristics in patients with COVID-19 and no-COVID-19 interstitial pneumonia with mild-to-moderate symptoms and similar radiological severity. Nutrition Metabolism and Cardiovascular Diseases. 31(11). 3227–3235. 3 indexed citations
3.
Cardellini, Marina, Valentina Rovella, Manuel Scimeca, et al.. (2018). Chronic Kidney Disease Is Linked to Carotid Nodular Calcification, An Unstable Plaque Not Correlated to Inflammation. Aging and Disease. 10(1). 71–71. 14 indexed citations
4.
Cardellini, Marina, Stefano Rizza, Viviana Casagrande, et al.. (2018). Soluble ST2 is a biomarker for cardiovascular mortality related to abnormal glucose metabolism in high-risk subjects. Acta Diabetologica. 56(3). 273–280. 16 indexed citations
5.
Cardellini, Marina, Marta Ballanti, Francesca Davato, et al.. (2018). 2-hydroxycaproate predicts cardiovascular mortality in patients with atherosclerotic disease. Atherosclerosis. 277. 179–185. 7 indexed citations
6.
Cardellini, Marina, Alessio Farcomeni, Marta Ballanti, et al.. (2017). C-peptide: A predictor of cardiovascular mortality in subjects with established atherosclerotic disease. Diabetes and Vascular Disease Research. 14(5). 395–399. 28 indexed citations
7.
Rizza, Stefano, Marina Cardellini, Chiara Pecchioli, et al.. (2015). A1c value for diabetes diagnosis in subjects with established cardiovascular disease. Acta Diabetologica. 52(5). 999–1001. 1 indexed citations
8.
Menghini, Rossella, Viviana Casagrande, Marina Cardellini, et al.. (2015). FoxO1 regulates asymmetric dimethylarginine via downregulation of dimethylaminohydrolase 1 in human endothelial cells and subjects with atherosclerosis. Atherosclerosis. 242(1). 230–235. 21 indexed citations
9.
Cardellini, Marina, Rossella Menghini, Francesca Davato, et al.. (2011). Decreased IRS2 and TIMP3 Expression in Monocytes From Offspring of Type 2 Diabetic Patients Is Correlated With Insulin Resistance and Increased Intima-Media Thickness. Diabetes. 60(12). 3265–3270. 27 indexed citations

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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