Cristina Zanoni

463 total citations
19 papers, 369 citations indexed

About

Cristina Zanoni is a scholar working on Public Health, Environmental and Occupational Health, Surgery and Physiology. According to data from OpenAlex, Cristina Zanoni has authored 19 papers receiving a total of 369 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Public Health, Environmental and Occupational Health, 5 papers in Surgery and 5 papers in Physiology. Recurrent topics in Cristina Zanoni's work include Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Cristina Zanoni is often cited by papers focused on Obesity, Physical Activity, Diet (6 papers), Nutritional Studies and Diet (3 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (3 papers). Cristina Zanoni collaborates with scholars based in Italy and France. Cristina Zanoni's co-authors include Francesco Martino, Eliana Martino, Francesco Barillà, Paolo Emilio Puddu, Giuseppe Pannarale, Roberto Carnevale, Lorenzo Loffredo, Pasquale Pignatelli, Francesco Violi and Alessandra Magenta and has published in prestigious journals such as PEDIATRICS, Medicine and Atherosclerosis.

In The Last Decade

Cristina Zanoni

19 papers receiving 359 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cristina Zanoni Italy 11 112 88 65 64 59 19 369
Fatemeh Sadabadi Iran 10 89 0.8× 103 1.2× 68 1.0× 83 1.3× 14 0.2× 24 449
Mateusz Lejawa Poland 10 61 0.5× 76 0.9× 49 0.8× 85 1.3× 14 0.2× 33 361
Sung Kyu Ha South Korea 7 102 0.9× 92 1.0× 123 1.9× 40 0.6× 23 0.4× 10 400
Talha Rafiq Canada 6 92 0.8× 85 1.0× 87 1.3× 59 0.9× 26 0.4× 10 335
Aris Plastiras Greece 9 116 1.0× 105 1.2× 51 0.8× 43 0.7× 18 0.3× 21 433
Szilvia Bokor Hungary 12 56 0.5× 121 1.4× 101 1.6× 82 1.3× 98 1.7× 24 562
Jeanne Ishimwe United States 9 69 0.6× 45 0.5× 133 2.0× 91 1.4× 31 0.5× 19 372
Sara Bonafini Italy 13 72 0.6× 59 0.7× 33 0.5× 111 1.7× 15 0.3× 24 364
И. Д. Стражеско Russia 13 182 1.6× 39 0.4× 118 1.8× 167 2.6× 64 1.1× 73 491
Yoshimi Kubota Japan 11 52 0.5× 120 1.4× 33 0.5× 80 1.3× 23 0.4× 28 368

Countries citing papers authored by Cristina Zanoni

Since Specialization
Citations

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

Fields of papers citing papers by Cristina Zanoni

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Cristina Zanoni

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

All Works

19 of 19 papers shown
1.
Martino, Francesco, Eliana Martino, Carlina V. Albanese, et al.. (2022). The Abnormal Ratio of Android-Gynoid Fat, Measured by Dual-Energy X-Ray Absorptiometry (DEXA) Scans, is Moderately Useful for Diagnosing Metabolic Syndrome in Children and Adolescents. Journal of Clinical Densitometry. 26(1). 16–22. 1 indexed citations
2.
3.
Martino, Francesco, et al.. (2019). Lifestyle and awareness of cholesterol blood levels among 29159 community school children in Italy. Nutrition Metabolism and Cardiovascular Diseases. 29(8). 802–807. 6 indexed citations
4.
D'agostino, M, Francesco Martino, Francesco Barillà, et al.. (2017). Circulating miR-200c is up-regulated in paediatric patients with familial hypercholesterolaemia and correlates with miR-33a/b levels: implication of a ZEB1-dependent mechanism. Clinical Science. 131(18). 2397–2408. 29 indexed citations
5.
Martino, Francesco, Paolo Emilio Puddu, Cristina Zanoni, et al.. (2016). Mediterranean diet and physical activity impact on metabolic syndrome among children and adolescents from Southern Italy: Contribution from the Calabrian Sierras Community Study (CSCS). International Journal of Cardiology. 225. 284–288. 23 indexed citations
6.
Martino, Francesco, Alessandra Magenta, Giuseppe Pannarale, et al.. (2016). Epigenetics and cardiovascular risk in childhood. Journal of Cardiovascular Medicine. 17(8). 539–546. 21 indexed citations
7.
Martino, Francesco, Giuseppe Pannarale, Paolo Emilio Puddu, et al.. (2015). Is it possible a new definition of metabolic syndrome in childhood?. PubMed. 19(22). 4324–31. 8 indexed citations
8.
Arnoldi, Anna, Giovanna Boschin, Cristina Zanoni, Gilda Aiello, & Carmen Lammi. (2015). The health benefits of lupin in cardiovascular prevention: ten years of successful investigations.. 77–80. 1 indexed citations
9.
Martino, Francesco, Daniele Avitabile, Luca Persico, et al.. (2015). Circulating miR-33a and miR-33b are up-regulated in familial hypercholesterolaemia in paediatric age. Clinical Science. 129(11). 963–972. 51 indexed citations
10.
Martino, Francesco, Paolo Emilio Puddu, Giuseppe Pannarale, et al.. (2014). Metabolic syndrome among children and adolescents from Southern Italy: Contribution from the Calabrian Sierras Community Study (CSCS). International Journal of Cardiology. 177(2). 455–460. 24 indexed citations
11.
Vitarelli, Antonio, Francesco Martino, Lidia Capotosto, et al.. (2014). Early Myocardial Deformation Changes in Hypercholesterolemic and Obese Children and Adolescents. Medicine. 93(12). e71–e71. 48 indexed citations
12.
Martino, Francesco, Paolo Emilio Puddu, Giuseppe Pannarale, et al.. (2013). Low dose chromium-polynicotinate or policosanol is effective in hypercholesterolemic children only in combination with glucomannan. Atherosclerosis. 228(1). 198–202. 27 indexed citations
13.
Martino, Francesco, Paolo Emilio Puddu, Giuseppe Pannarale, et al.. (2013). Hypertension in children and adolescents attending a lipid clinic. European Journal of Pediatrics. 172(12). 1573–1579. 12 indexed citations
14.
Loffredo, Lorenzo, Pasquale Pignatelli, Francesco Martino, et al.. (2013). Early increase of NOX2-derived oxidative stress in children: relationship with age. Pediatric Research. 73(6). 788–793. 9 indexed citations
15.
Martino, Francesco, Paolo Emilio Puddu, Giuseppe Pannarale, et al.. (2012). Arterial blood pressure and serum lipids in a population of children and adolescents from Southern Italy: The Calabrian Sierras Community Study (CSCS). International Journal of Cardiology. 168(2). 1108–1114. 17 indexed citations
16.
Pignatelli, Pasquale, Lorenzo Loffredo, Francesco Martino, et al.. (2008). Myeloperoxidase overexpression in children with hypercholesterolemia. Atherosclerosis. 205(1). 239–243. 16 indexed citations
17.
18.
Fantoni, A, et al.. (1996). [Translaryngeal tracheostomy. A new era?].. PubMed. 62(10). 313–25. 8 indexed citations
19.
Gentile, M. G., Maria Rita Ciceri, G. M. Manna, et al.. (1995). The role of fibre in the treatment of secondary hyperlipidaemia in nephrotic patients.. PubMed. 49 Suppl 3. S239–41. 1 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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