M. Borra

507 total citations
9 papers, 337 citations indexed

About

M. Borra is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Infectious Diseases. According to data from OpenAlex, M. Borra has authored 9 papers receiving a total of 337 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Cardiology and Cardiovascular Medicine, 3 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Infectious Diseases. Recurrent topics in M. Borra's work include Cardiac electrophysiology and arrhythmias (3 papers), ECG Monitoring and Analysis (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M. Borra is often cited by papers focused on Cardiac electrophysiology and arrhythmias (3 papers), ECG Monitoring and Analysis (2 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (2 papers). M. Borra collaborates with scholars based in Italy, Philippines and United Kingdom. M. Borra's co-authors include M. Veglio, Paolo Cavallo Perin, J. H. Fuller, Linda Stevens, Graziella Bruno, P. Cavallo‐Perin, G Bargero, G. F. Pagano, Alessandra Chinaglia and Gianfranco Pagano and has published in prestigious journals such as Diabetes Care, Diabetologia and Journal of Internal Medicine.

In The Last Decade

M. Borra

9 papers receiving 313 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
M. Borra Italy	6	240	73	65	44	31	9	337
Tomáš Janota Czechia	10	166 0.7×	112 1.5×	82 1.3×	23 0.5×	11 0.4×	34	303
Åke Hjalmarson Sweden	6	256 1.1×	64 0.9×	26 0.4×	71 1.6×	13 0.4×	10	371
Stephanie Kiencke Switzerland	8	231 1.0×	35 0.5×	15 0.2×	23 0.5×	71 2.3×	12	317
L. Gemma United States	5	165 0.7×	191 2.6×	48 0.7×	47 1.1×	15 0.5×	6	340
Francesco Maranta Italy	9	108 0.5×	88 1.2×	39 0.6×	48 1.1×	5 0.2×	26	228
Francesca Lanni Italy	9	239 1.0×	68 0.9×	74 1.1×	52 1.2×	7 0.2×	16	331
Johanna E. Emmens Netherlands	9	147 0.6×	48 0.7×	47 0.7×	25 0.6×	6 0.2×	16	245
Fang Yong China	7	96 0.4×	105 1.4×	48 0.7×	29 0.7×	6 0.2×	19	269
Roberto Manfrini Italy	7	81 0.3×	184 2.5×	50 0.8×	48 1.1×	15 0.5×	15	253
V A Koivisto Finland	5	75 0.3×	239 3.3×	67 1.0×	33 0.8×	89 2.9×	7	362

Countries citing papers authored by M. Borra

Since Specialization

Citations

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

Fields of papers citing papers by M. Borra

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of M. Borra

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

All Works

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9 of 9 papers shown

Hannawi, Suad, Xiaohong Wu, Ralph Elvi Villalobos, et al.. (2024). Efficacy, immunogenicity, and safety of a monovalent mRNA vaccine, ABO1020, in adults: A randomized, double-blind, placebo-controlled, phase 3 trial. Med. 5(10). 1282–1292.e3. 4 indexed citations

Borra, M., et al.. (2009). The value of the post-take ward round: are new working patterns compromising junior doctor education?. Clinical Medicine. 9(4). 323–326. 13 indexed citations

Veglio, M., Graziella Bruno, M. Borra, et al.. (2002). Prevalence of increased QT interval duration and dispersion in type 2 diabetic patients and its relationship with coronary heart disease: a population‐based cohort. Journal of Internal Medicine. 251(4). 317–324. 98 indexed citations

Borra, M., M. Veglio, Giacomo Matteo Bruno, et al.. (1999). Prevalence of QTc prolongation in type 2 diabetic; An Italian population-based cohort. Diabetologia. 4 indexed citations

Veglio, M., M. Borra, Linda Stevens, J. H. Fuller, & Paolo Cavallo Perin. (1999). The relation between QTc interval prolongation and diabetic complications. The EURODIAB IDDM Complication Study Group. Diabetologia. 42(1). 68–75. 129 indexed citations

Bruno, Graziella, M. Borra, N. Del Grosso, et al.. (1999). Clinical, immunological, and genetic heterogeneity of diabetes in an Italian population-based cohort of lean newly diagnosed patients aged 30-54 years. Piedmont Study Group for Diabetes Epidemiology.. Diabetes Care. 22(1). 50–55. 28 indexed citations

Bruno, Graziella, et al.. (1999). Hyperfibrinogenemia, metabolic syndrome and coronary heart disease in type 2 diabetes: a population-based study. 1 indexed citations

Bruno, Graziella, et al.. (1998). Glycaemic control and cardiovascular risk factors in Type 2 diabetes: a population-based study. Diabetic Medicine. 15(4). 304–307. 26 indexed citations

Veglio, M., Alessandra Chinaglia, M. Borra, & Paolo Cavallo Perin. (1995). Does Abnormal QT Interval Prolongation Reflect Autonomic Dysfunction in Diabetic Patients? QTc Interval Measure Versus Standardized Tests in Diabetic Autonomic Neuropathy. Diabetic Medicine. 12(4). 302–306. 34 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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