Pasquale De Cata

1.4k total citations · 1 hit paper
19 papers, 869 citations indexed

About

Pasquale De Cata is a scholar working on Endocrinology, Diabetes and Metabolism, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Pasquale De Cata has authored 19 papers receiving a total of 869 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Endocrinology, Diabetes and Metabolism, 4 papers in Molecular Biology and 4 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Pasquale De Cata's work include Diabetes Management and Research (4 papers), Diabetes Management and Education (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Pasquale De Cata is often cited by papers focused on Diabetes Management and Research (4 papers), Diabetes Management and Education (3 papers) and Liver Disease Diagnosis and Treatment (3 papers). Pasquale De Cata collaborates with scholars based in Italy, United Kingdom and Spain. Pasquale De Cata's co-authors include Luca Chiovato, Riccardo Bellazzi, Arianna Dagliati, Lucia Sacchi, Valentina Tibollo, Giulia Cogni, Marsida Teliti, Simone Marini, P. Fratino and L. Sciangula and has published in prestigious journals such as SHILAP Revista de lepidopterología, World Journal of Gastroenterology and Journal of Internal Medicine.

In The Last Decade

Pasquale De Cata

19 papers receiving 830 citations

Hit Papers

Machine Learning Methods to Predict Diabetes Complications 2017 2026 2020 2023 2017 50 100 150 200 250

Peers

Pasquale De Cata
Bassam Farran United Kingdom
David Sutton United Kingdom
Jason Gordon United Kingdom
Subhi J. Al’Aref United States
Roberta Forlano United Kingdom
Uri Kartoun United States
Pasquale De Cata
Citations per year, relative to Pasquale De Cata Pasquale De Cata (= 1×) peers Sven Van Poucke

Countries citing papers authored by Pasquale De Cata

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale De Cata

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Pasquale De Cata. 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 Pasquale De Cata. The network helps show where Pasquale De Cata may publish in the future.

Co-authorship network of co-authors of Pasquale De Cata

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale De Cata. A scholar is included among the top collaborators of Pasquale De Cata 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 Pasquale De Cata. Pasquale De Cata 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.
Merla, Cristina, Marta Corbella, Stefano Gaiarsa, et al.. (2024). Bloodstream Infection Caused by Erysipelothrix rhusiopathiae in an Immunocompetent Patient. Microorganisms. 12(5). 942–942. 3 indexed citations
2.
Martínez-Millana, Antonio, Lucia Sacchi, Carlos Fernández-Llatas, et al.. (2019). Clustering Cardiovascular Risk Trajectories of Patients with Type 2 Diabetes Using Process Mining. PubMed. 139. 341–344. 7 indexed citations
3.
Ferraioli, Giovanna, Laura Maiocchi, Maria Vittoria Raciti, et al.. (2019). Detection of Liver Steatosis With a Novel Ultrasound-Based Technique: A Pilot Study Using MRI-Derived Proton Density Fat Fraction as the Gold Standard. Clinical and Translational Gastroenterology. 10(10). e00081–e00081. 123 indexed citations
4.
Teliti, Marsida, Giulia Cogni, Lucia Sacchi, et al.. (2018). Risk factors for the development of micro-vascular complications of type 2 diabetes in a single-centre cohort of patients. Diabetes and Vascular Disease Research. 15(5). 424–432. 30 indexed citations
5.
Dagliati, Arianna, Valentina Tibollo, Lucia Sacchi, et al.. (2018). Big Data as a Driver for Clinical Decision Support Systems: A Learning Health Systems Perspective. SHILAP Revista de lepidopterología. 5. 22 indexed citations
6.
Moramarco, Lorenzo Paolo, et al.. (2017). Disabling portosystemic encephalopathy in a non-cirrhotic patient: Successful endovascular treatment of a giant inferior mesenteric-caval shuntviathe left internal iliac vein. World Journal of Gastroenterology. 23(47). 8426–8431. 3 indexed citations
7.
Bianchi, Luca, Camillo Porta, Andrea Rinaldi, et al.. (2017). Integrated cardiovascular/respiratory control in type 1 diabetes evidences functional imbalance: Possible role of hypoxia. International Journal of Cardiology. 244. 254–259. 7 indexed citations
8.
Dagliati, Arianna, Lucia Sacchi, Valentina Tibollo, et al.. (2017). A dashboard-based system for supporting diabetes care. Journal of the American Medical Informatics Association. 25(5). 538–547. 52 indexed citations
9.
Dagliati, Arianna, Simone Marini, Lucia Sacchi, et al.. (2017). Machine Learning Methods to Predict Diabetes Complications. Journal of Diabetes Science and Technology. 12(2). 295–302. 252 indexed citations breakdown →
10.
Dagliati, Arianna, Alberto Malovini, Pasquale De Cata, et al.. (2016). Hierarchical Bayesian Logistic Regression to forecast metabolic control in type 2 DM patients.. PubMed. 2016. 470–479. 7 indexed citations
11.
Dagliati, Arianna, Andrea Marinoni, Pasquale De Cata, et al.. (2015). Integration of Administrative, Clinical, and Environmental Data to Support the Management of Type 2 Diabetes Mellitus. Journal of Diabetes Science and Technology. 10(1). 19–26. 15 indexed citations
12.
Sacchi, Lucia, Arianna Dagliati, Valentina Tibollo, et al.. (2015). Improving Clinical Decisions on T2DM Patients Integrating Clinical, Administrative and Environmental Data. Studies in health technology and informatics. 216. 682–6. 5 indexed citations
13.
Cappelli, Carlo, Mario Rotondi, Ilenia Pirola, et al.. (2014). Metformin-induced thyrotropin suppression is not associated with cardiac effects. HORMONES. 13(2). 252–258. 10 indexed citations
14.
Dagliati, Arianna, Lucia Sacchi, Paola Leporati, et al.. (2014). Temporal data mining and process mining techniques to identify cardiovascular risk-associated clinical pathways in Type 2 diabetes patients. 240–243. 18 indexed citations
15.
Giardini, Anna, Pasquale De Cata, Barbara Pirali, et al.. (2014). Diabetes Management in End of Life. American Journal of Hospice and Palliative Medicine®. 32(6). 588–593. 5 indexed citations
16.
Rotondi, Mario, Carlo Cappelli, Flavia Magri, et al.. (2011). Thyroidal effect of metformin treatment in patients with polycystic ovary syndrome. Clinical Endocrinology. 75(3). 378–381. 56 indexed citations
17.
Stefanelli, Mario, Pietro Ferrari, Pasquale De Cata, et al.. (2006). The M2DM Project. Methods of Information in Medicine. 45(1). 79–84. 33 indexed citations
18.
Bellazzi, Riccardo, Pietro Ferrari, Pasquale De Cata, et al.. (2004). Management of Patients with Diabetes Through Information Technology: Tools for Monitoring and Control of the Patients' Metabolic Behavior. Diabetes Technology & Therapeutics. 6(5). 567–578. 35 indexed citations
19.
Faglia, Ezio, Manuela Mantero, Maurizio Caminiti, et al.. (2002). Extensive use of peripheral angioplasty, particularly infrapopliteal, in the treatment of ischaemic diabetic foot ulcers: clinical results of a multicentric study of 221 consecutive diabetic subjects. Journal of Internal Medicine. 252(3). 225–232. 186 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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