Daniela Cugino

610 total citations
8 papers, 272 citations indexed

About

Daniela Cugino is a scholar working on Epidemiology, Endocrinology, Diabetes and Metabolism and Molecular Biology. According to data from OpenAlex, Daniela Cugino has authored 8 papers receiving a total of 272 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Epidemiology, 3 papers in Endocrinology, Diabetes and Metabolism and 2 papers in Molecular Biology. Recurrent topics in Daniela Cugino's work include Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Associations and Epidemiology (2 papers) and Renin-Angiotensin System Studies (2 papers). Daniela Cugino is often cited by papers focused on Adipokines, Inflammation, and Metabolic Diseases (3 papers), Genetic Associations and Epidemiology (2 papers) and Renin-Angiotensin System Studies (2 papers). Daniela Cugino collaborates with scholars based in Italy, Estonia and United Kingdom. Daniela Cugino's co-authors include Licia Iacoviello, Francesco Gianfagna, Giovanni de Gaetano, Maria Benedetta Donati, Iolanda Santimone, Augusto Di Castelnuovo, Chiara Cerletti, Maria Spinelli, Amalia De Curtis and Emanuela Napoleone and has published in prestigious journals such as PLoS ONE, International Journal of Obesity and International Journal of Cardiology.

In The Last Decade

Daniela Cugino

8 papers receiving 264 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Daniela Cugino Italy 7 78 66 55 39 36 8 272
Loni Perrenoud United States 10 38 0.5× 37 0.6× 93 1.7× 24 0.6× 22 0.6× 13 362
Mitchell S Elkind United States 4 25 0.3× 112 1.7× 22 0.4× 65 1.7× 37 1.0× 19 243
Kristian Harms Germany 9 23 0.3× 18 0.3× 79 1.4× 69 1.8× 38 1.1× 13 340
Carlos Martínez‐Murillo Mexico 9 21 0.3× 27 0.4× 41 0.7× 27 0.7× 15 0.4× 63 266
Ilaria De Simone Netherlands 9 17 0.2× 48 0.7× 43 0.8× 16 0.4× 14 0.4× 20 334
Filiz Özen Türkiye 9 39 0.5× 34 0.5× 98 1.8× 15 0.4× 22 0.6× 34 350
M. Cremonesi Italy 10 85 1.1× 59 0.9× 83 1.5× 20 0.5× 39 1.1× 19 344
Alina Sokup Poland 9 42 0.5× 31 0.5× 81 1.5× 26 0.7× 47 1.3× 20 263
Eimantas Švedas Sweden 8 21 0.3× 38 0.6× 71 1.3× 17 0.4× 14 0.4× 10 334

Countries citing papers authored by Daniela Cugino

Since Specialization
Citations

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

Fields of papers citing papers by Daniela Cugino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Daniela Cugino

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

All Works

8 of 8 papers shown
1.
Landolfi, Alessandro, Giulio Selvetella, Daniela Cugino, et al.. (2016). Hemorrhagic transformation of acute ischemic stroke is limited in hypertensive patients with cardiac hypertrophy. International Journal of Cardiology. 219. 362–366. 3 indexed citations
2.
Gianfagna, Francesco, Daniela Cugino, Wolfgang Ahrens, et al.. (2013). Understanding the Links among neuromedin U Gene, beta2-adrenoceptor Gene and Bone Health: An Observational Study in European Children. PLoS ONE. 8(8). e70632–e70632. 22 indexed citations
3.
Cugino, Daniela, Francesco Gianfagna, Wolfgang Ahrens, et al.. (2013). Polymorphisms of matrix metalloproteinase gene and adiposity indices in European children: results of the IDEFICS study. International Journal of Obesity. 37(12). 1539–1544. 6 indexed citations
4.
Napoleone, Emanuela, Daniela Cugino, Concetta Amore, et al.. (2011). Inhibition of the renin-angiotensin system downregulates tissue factor and vascular endothelial growth factor in human breast carcinoma cells. Thrombosis Research. 129(6). 736–742. 33 indexed citations
5.
Gianfagna, Francesco, Daniela Cugino, Iolanda Santimone, & Licia Iacoviello. (2011). From candidate gene to genome-wide association studies in cardiovascular disease. Thrombosis Research. 129(3). 320–324. 20 indexed citations
6.
Cugino, Daniela, Francesco Gianfagna, Iolanda Santimone, et al.. (2011). Type 2 diabetes and polymorphisms on chromosome 9p21: A meta-analysis. Nutrition Metabolism and Cardiovascular Diseases. 22(8). 619–625. 39 indexed citations
7.
Santimone, Iolanda, Augusto Di Castelnuovo, Amalia De Curtis, et al.. (2011). White blood cell count, sex and age are major determinants of heterogeneity of platelet indices in an adult general population: results from the MOLI-SANI project. Haematologica. 96(8). 1180–1188. 134 indexed citations
8.
Napoleone, Emanuela, Daniela Cugino, Maria Carmela Latella, et al.. (2011). Leptin upregulates tissue factor expression in human breast cancer MCF-7 cells. Thrombosis Research. 129(5). 641–647. 15 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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