S Cuomo

686 total citations
31 papers, 514 citations indexed

About

S Cuomo is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Complementary and alternative medicine. According to data from OpenAlex, S Cuomo has authored 31 papers receiving a total of 514 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Cardiology and Cardiovascular Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 4 papers in Complementary and alternative medicine. Recurrent topics in S Cuomo's work include Heart Rate Variability and Autonomic Control (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Cardiovascular Health and Disease Prevention (5 papers). S Cuomo is often cited by papers focused on Heart Rate Variability and Autonomic Control (9 papers), Cardiac electrophysiology and arrhythmias (7 papers) and Cardiovascular Health and Disease Prevention (5 papers). S Cuomo collaborates with scholars based in Italy and United States. S Cuomo's co-authors include Brunella Capaldo, Nicola Moio, Girolamo Sibilio, D Sabatini, Procolo Di Bonito, Giuseppe Limongelli, Raffaella Scarafile, Raffaele Calabrò, Pio Caso and Gemma Salerno and has published in prestigious journals such as Circulation, European Heart Journal and Fertility and Sterility.

In The Last Decade

S Cuomo

26 papers receiving 496 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
S Cuomo Italy 11 416 95 73 52 49 31 514
Lale Tokgözoğlu Türkiye 15 475 1.1× 73 0.8× 68 0.9× 21 0.4× 52 1.1× 27 529
Tansel Erol Türkiye 12 220 0.5× 75 0.8× 76 1.0× 45 0.9× 76 1.6× 31 382
Paolo Verdecchia Italy 12 765 1.8× 172 1.8× 75 1.0× 110 2.1× 31 0.6× 21 824
Olga Zoneraich United States 12 304 0.7× 90 0.9× 40 0.5× 25 0.5× 38 0.8× 32 410
Kenneth Schectman United States 3 266 0.6× 97 1.0× 45 0.6× 19 0.4× 66 1.3× 5 397
Tomoki Shokawa Japan 7 329 0.8× 143 1.5× 147 2.0× 32 0.6× 106 2.2× 13 556
Giuseppe M.C. Rosano Italy 8 220 0.5× 58 0.6× 33 0.5× 139 2.7× 18 0.4× 15 392
James R. Hickman United States 10 262 0.6× 209 2.2× 80 1.1× 70 1.3× 34 0.7× 19 454
Dimitris Syrseloudis Greece 12 373 0.9× 80 0.8× 79 1.1× 23 0.4× 57 1.2× 24 491
Patrick De Coster Belgium 8 133 0.3× 201 2.1× 51 0.7× 16 0.3× 70 1.4× 21 392

Countries citing papers authored by S Cuomo

Since Specialization
Citations

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

Fields of papers citing papers by S Cuomo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of S Cuomo

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

All Works

20 of 20 papers shown
1.
2.
Cusato, Jessica, Anna Mulasso, Sergio Ferrara, et al.. (2024). Studying the Changes in Physical Functioning and Oxidative Stress-Related Molecules in People Living with HIV after Switching from Triple to Dual Therapy. Antioxidants. 13(5). 518–518. 2 indexed citations
3.
Mulasso, Anna, et al.. (2023). “Stay at Home” during the COVID-19 Pandemic: Effects on Physical Activity and Sedentary Behavior in an Italian Academic Community. International Journal of Environmental Research and Public Health. 20(2). 1168–1168.
4.
Frau, Jessica, Anna Mulasso, Giancarlo Coghe, et al.. (2023). Multidimensional frailty and its association with quality of life and disability: A cross-sectional study in people with multiple sclerosis. Multiple Sclerosis and Related Disorders. 79. 105036–105036. 9 indexed citations
5.
Gaeta, G, et al.. (2010). Parental history of premature myocardial infarction is a stronger predictor of increased carotid intima-media thickness than parental history of hypertension. Nutrition Metabolism and Cardiovascular Diseases. 21(6). 391–397. 4 indexed citations
6.
D’Andrea, Antonello, Eduardo Bossone, Raffaella Scarafile, et al.. (2010). Right ventricular myocardial involvement in either physiological or pathological left ventricular hypertrophy: an ultrasound speckle-tracking two-dimensional strain analysis. European Journal of Echocardiography. 11(6). 492–500. 63 indexed citations
7.
Calabrò, Paolo, et al.. (2010). Use of NaCl saline hydration and N-Acetyl Cysteine to prevent contrast induced nephropathy in different populations of patients at high and low risk undergoing coronary artery angiography.. PubMed. 58(1). 35–40. 5 indexed citations
8.
Gaeta, Giovanni Battista, et al.. (2009). Early increase of carotid intima-media thickness in children with parental history of premature myocardial infarction. Heart. 95(8). 642–645. 28 indexed citations
9.
Esposito, Teresa, et al.. (2009). Estrogen receptor polymorphism, estrogen content and idiopathic scoliosis in human: A possible genetic linkage. The Journal of Steroid Biochemistry and Molecular Biology. 116(1-2). 56–60. 37 indexed citations
10.
11.
D’Andrea, Alfredo, Pio Caso, S Cuomo, et al.. (2006). Prognostic value of intra-left ventricular electromechanical asynchrony in patients with mild hypertrophic cardiomyopathy compared with power athletes. British Journal of Sports Medicine. 40(3). 244–250. 21 indexed citations
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Gaeta, Giovanni Battista, et al.. (1998). [Family and friends who smoke: influence on adolescents].. PubMed. 28(3). 259–66. 6 indexed citations
15.
Bonito, Procolo Di, S Cuomo, Nicola Moio, et al.. (1996). Diastolic Dysfunction in Patients with Non-insulin-dependent Diabetes Mellitus of Short Duration. Diabetic Medicine. 13(4). 321–324. 95 indexed citations
16.
Ascione, Luigi, et al.. (1992). [Reference values for the echocardiographic calculation of left ventricular mass in normal children between the ages of 0 and 6].. PubMed. 22(7). 829–34. 2 indexed citations
17.
Acanfora, Domenico, L. De Caprio, S Cuomo, et al.. (1991). Postexercise systolic blood pressure to heart rate ratio: A new exercise criterion for diagnosing coronary artery disease. American Journal of Noninvasive Cardiology. 5(6). 365–371. 1 indexed citations
18.
Cuomo, S, L. De Caprio, Domenico Acanfora, et al.. (1989). Relationship between QT interval duration and exercise-induced ventricular arrhythmias. European Heart Journal. 10(7). 622–627. 11 indexed citations
19.
Cuomo, S, Domenico Acanfora, Marco Papa, et al.. (1988). Relationship between QT/QS2 ratio and angiographic severity of coronary heart disease.. PubMed. 18(8). 658–64. 2 indexed citations
20.
Caprio, L. De, S Cuomo, Luigi Ascione, et al.. (1985). [Effect of beta-receptor block on QT/QS2 behavior during isometric and dynamic exercise].. PubMed. 15(10). 960–4. 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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