Biagio De Simone

796 total citations
8 papers, 614 citations indexed

About

Biagio De Simone is a scholar working on Surgery, Cardiology and Cardiovascular Medicine and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Biagio De Simone has authored 8 papers receiving a total of 614 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Surgery, 4 papers in Cardiology and Cardiovascular Medicine and 3 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Biagio De Simone's work include Lipoproteins and Cardiovascular Health (3 papers), Ovarian function and disorders (2 papers) and Diagnosis and Treatment of Venous Diseases (2 papers). Biagio De Simone is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Ovarian function and disorders (2 papers) and Diagnosis and Treatment of Venous Diseases (2 papers). Biagio De Simone collaborates with scholars based in Italy, Germany and United States. Biagio De Simone's co-authors include Francesco Orio, Teresa Cascella, Fulvio Zullo, Stefano Palomba, Tiziana Russo, Annamaria Colao, Gaetano Lombardi, Sebastiano Di Biase, Donato Labella and Paolo Rubba and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The American Journal of Medicine and Atherosclerosis.

In The Last Decade

Biagio De Simone

8 papers receiving 588 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Biagio De Simone Italy	7	318	292	147	111	108	8	614
Marian Wald Myers United States	9	71 0.2×	86 0.3×	380 2.6×	128 1.2×	89 0.8×	15	746
Peter Bacher United States	15	49 0.2×	262 0.9×	146 1.0×	137 1.2×	21 0.2×	35	571
Michele Arcopinto Italy	17	42 0.1×	478 1.6×	417 2.8×	131 1.2×	22 0.2×	41	997
N. Scorpiglione Italy	13	36 0.1×	60 0.2×	168 1.1×	17 0.2×	38 0.4×	16	484
Thanh-Tam Guyene France	7	48 0.2×	311 1.1×	353 2.4×	16 0.1×	61 0.6×	8	638
James E. Lang United States	11	35 0.1×	60 0.2×	167 1.1×	15 0.1×	41 0.4×	12	497
L. Rota Italy	12	15 0.0×	116 0.4×	25 0.2×	105 0.9×	16 0.1×	15	533
Brian Dale Australia	9	41 0.1×	201 0.7×	35 0.2×	165 1.5×	10 0.1×	17	396
Joseph Nassif Lebanon	15	316 1.0×	61 0.2×	22 0.1×	6 0.1×	78 0.7×	42	734
S S Entman United States	7	136 0.4×	57 0.2×	24 0.2×	6 0.1×	66 0.6×	10	508

Countries citing papers authored by Biagio De Simone

Since Specialization

Citations

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

Fields of papers citing papers by Biagio De Simone

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Biagio De Simone

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

All Works

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8 of 8 papers shown

Rubba, Paolo, Marco Gentile, G. Marotta, et al.. (2017). Causative mutations and premature cardiovascular disease in patients with heterozygous familial hypercholesterolaemia. European Journal of Preventive Cardiology. 24(10). 1051–1059. 23 indexed citations

Cella, Chiara Alessandra, Giovanni Di Minno, Chiara Carlomagno, et al.. (2017). Preventing Venous Thromboembolism in Ambulatory Cancer Patients: The ONKOTEV Study. The Oncologist. 22(5). 601–608. 115 indexed citations

Gentile, Marco, Rosario Peluso, Matteo Nicola Dario Di Minno, et al.. (2016). Association between small dense LDL and sub-clinical atherosclerosis in patients with psoriatic arthritis. Clinical Rheumatology. 35(8). 2023–2029. 26 indexed citations

Orio, Francesco, Stefano Palomba, Teresa Cascella, et al.. (2005). Improvement in Endothelial Structure and Function after Metformin Treatment in Young Normal-Weight Women with Polycystic Ovary Syndrome: Results of a 6-Month Study. The Journal of Clinical Endocrinology & Metabolism. 90(11). 6072–6076. 112 indexed citations

Orio, Francesco, Stefano Palomba, Teresa Cascella, et al.. (2004). Early Impairment of Endothelial Structure and Function in Young Normal-Weight Women with Polycystic Ovary Syndrome. The Journal of Clinical Endocrinology & Metabolism. 89(9). 4588–4593. 259 indexed citations

Rubba, Paolo, Biagio De Simone, Luciano Carbone, et al.. (1991). Diabetes Mellitus and Localizations of Obliterating Arterial Disease of the Lower Limbs. Angiology. 42(4). 296–301. 6 indexed citations

Rubba, Paolo, Biagio De Simone, Alfredo Postiglione, et al.. (1988). Extracoronary atherosclerosis in familial hypercholesterolemia. Atherosclerosis. 71(2-3). 205–213. 15 indexed citations

Ferrara, L, et al.. (1986). Effects of alpha-adrenergic and beta-adrenergic receptor blockade on lipid metabolism. The American Journal of Medicine. 80(2). 104–108. 58 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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