Bruno Fabris

7.2k total citations
155 papers, 4.1k citations indexed

About

Bruno Fabris is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Bruno Fabris has authored 155 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Cardiology and Cardiovascular Medicine, 59 papers in Endocrinology, Diabetes and Metabolism and 40 papers in Surgery. Recurrent topics in Bruno Fabris's work include Hormonal Regulation and Hypertension (28 papers), Cardiovascular Health and Disease Prevention (20 papers) and Renin-Angiotensin System Studies (18 papers). Bruno Fabris is often cited by papers focused on Hormonal Regulation and Hypertension (28 papers), Cardiovascular Health and Disease Prevention (20 papers) and Renin-Angiotensin System Studies (18 papers). Bruno Fabris collaborates with scholars based in Italy, Australia and United States. Bruno Fabris's co-authors include Stella Bernardi, Riccardo Candido, Barbara Toffoli, Renzo Carretta, Paola Secchiero, Giorgio Zauli, B. Jackson, Colin I. Johnston, C. I. Johnston and Franco Mantero and has published in prestigious journals such as Circulation, Circulation Research and The Journal of Clinical Endocrinology & Metabolism.

In The Last Decade

Bruno Fabris

151 papers receiving 3.9k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Fabris Italy 37 1.9k 1.3k 1.3k 991 452 155 4.1k
Masayoshi Soma Japan 34 1.3k 0.7× 1.2k 0.9× 596 0.5× 1.4k 1.4× 356 0.8× 256 4.6k
Norihiro Kato Japan 36 1.1k 0.6× 1.2k 0.9× 704 0.5× 1.2k 1.3× 506 1.1× 122 4.7k
Christos Tikellis Australia 25 1.2k 0.6× 1.3k 1.0× 531 0.4× 1.1k 1.1× 402 0.9× 30 3.7k
A. Elisabeth Hak Netherlands 24 1.6k 0.9× 672 0.5× 582 0.4× 548 0.6× 745 1.6× 42 4.1k
Hideyasu Kiyomoto Japan 32 1.3k 0.7× 1.3k 0.9× 730 0.6× 1.0k 1.0× 215 0.5× 106 3.9k
Chikako Ito Japan 27 1.7k 0.9× 799 0.6× 837 0.6× 1.3k 1.3× 746 1.7× 70 4.9k
Iris Z. Jaffe United States 43 2.8k 1.5× 1.6k 1.2× 2.0k 1.5× 1.1k 1.2× 245 0.5× 115 5.3k
Caroline Kistorp Denmark 32 2.0k 1.1× 2.0k 1.5× 681 0.5× 920 0.9× 637 1.4× 148 4.5k
Yoshimasa Aso Japan 35 1.6k 0.9× 901 0.7× 809 0.6× 1.0k 1.0× 1.5k 3.3× 160 4.3k
Mariella Trovati Italy 37 1.8k 1.0× 1.4k 1.0× 650 0.5× 873 0.9× 612 1.4× 132 4.4k

Countries citing papers authored by Bruno Fabris

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Fabris

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bruno Fabris

This figure shows the co-authorship network connecting the top 25 collaborators of Bruno Fabris. A scholar is included among the top collaborators of Bruno Fabris 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 Bruno Fabris. Bruno Fabris 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.
Gasparotto, Michela, Barbara Toffoli, Andrea Grillo, et al.. (2024). Preliminary Study on Pulse Wave Changes in Patients with Inflammatory Arthropathies Treated with bDMARDs. Journal of Clinical Medicine. 13(9). 2684–2684. 1 indexed citations
2.
Bernardi, Stella, et al.. (2024). Diabete e sindrome metabolica nel paziente con iperaldosteronismo primario. L Endocrinologo. 25(1). 48–53.
3.
Toffoli, Barbara, Federica Tonon, Fabiola Giudici, et al.. (2023). Preliminary Study on the Effect of a Night Shift on Blood Pressure and Clock Gene Expression. International Journal of Molecular Sciences. 24(11). 9309–9309. 11 indexed citations
4.
5.
Mesin, Luca, Stefano Albani, Paolo Scacciatella, et al.. (2022). Estimation of Aortic Stiffness with Bramwell–Hill Equation: A Comparative Analysis with Carotid–Femoral Pulse Wave Velocity. Bioengineering. 9(7). 265–265. 2 indexed citations
6.
Tonon, Federica, Riccardo Candido, Barbara Toffoli, et al.. (2022). Type 1 diabetes is associated with significant changes of ACE and ACE2 expression in peripheral blood mononuclear cells. Nutrition Metabolism and Cardiovascular Diseases. 32(5). 1275–1282. 8 indexed citations
7.
Salvi, Paolo, Filippo Scalise, Andrea Grillo, et al.. (2021). Comparison Between Invasive and Noninvasive Methods to Estimate Subendocardial Oxygen Supply and Demand Imbalance. Journal of the American Heart Association. 10(17). e021207–e021207. 15 indexed citations
8.
Toffoli, Barbara, Federica Tonon, Veronica Tisato, et al.. (2020). TRAIL treatment prevents renal morphological changes and TGF-β-induced mesenchymal transition associated with diabetic nephropathy. Clinical Science. 134(17). 2337–2352. 8 indexed citations
9.
Bernardi, Stella, Barbara Toffoli, Federica Tonon, et al.. (2020). Sex Differences in Proatherogenic Cytokine Levels. International Journal of Molecular Sciences. 21(11). 3861–3861. 53 indexed citations
10.
Manganotti, Paolo, Valentina Pesavento, Alex Buoite Stella, et al.. (2020). Miller Fisher syndrome diagnosis and treatment in a patient with SARS-CoV-2. Journal of NeuroVirology. 26(4). 605–606. 62 indexed citations
11.
Bernardi, Stella, Annalisa Marcuzzi, Elisa Piscianz, Alberto Tommasini, & Bruno Fabris. (2018). The Complex Interplay between Lipids, Immune System and Interleukins in Cardio-Metabolic Diseases. International Journal of Molecular Sciences. 19(12). 4058–4058. 52 indexed citations
12.
Bernardi, Stella, Barbara Toffoli, Fleur Bossi, et al.. (2017). Circulating osteoprotegerin is associated with chronic kidney disease in hypertensive patients. BMC Nephrology. 18(1). 219–219. 16 indexed citations
13.
14.
Toffoli, Barbara, R. J. Pickering, Despina Tsorotes, et al.. (2011). Osteoprotegerin promotes vascular fibrosis via a TGF-β1 autocrine loop. Atherosclerosis. 218(1). 61–68. 52 indexed citations
15.
Fallo, Francesco, M. Tecchio, Francesco Tona, et al.. (2009). Nonalcoholic Fatty Liver Disease in Primary Aldosteronism: A Pilot Study. American Journal of Hypertension. 23(1). 2–5. 44 indexed citations
16.
DIEHL, Leandro Arthur, et al.. (2008). Metformin Increases HDL3–Cholesterol and Decreases Subcutaneous Truncal Fat in Nondiabetic Patients with HIV-Associated Lipodystrophy. AIDS Patient Care and STDs. 22(10). 779–786. 8 indexed citations
17.
Rossi, Gian Paolo, G Bernini, Bruno Fabris, et al.. (2005). Primary aldosteronism (PA) prevalence in Italy (papy) study: Results of a nationwide survey RID E-9967-2010. American Journal of Hypertension. 18. 1 indexed citations
18.
Castellano, Maurizio, Nicola Glorioso, Daniele Cusi, et al.. (2003). Genetic polymorphism of the renin???angiotensin???aldosterone system and arterial hypertension in the Italian population. Journal of Hypertension. 21(10). 1853–1860. 45 indexed citations
19.
Carretta, Renzo, et al.. (1992). Peripheral Adrenoceptors in Hypotension of Hemodialyzed Uremic Patients. ˜The œNephron journals/Nephron journals. 62(4). 429–433. 9 indexed citations
20.
Carretta, Renzo, et al.. (1989). Reduction of blood pressure in obese hyperinsulinaemic hypertensive patients during somatostatin infusion. Journal of Hypertension. 7(6). S196–197. 27 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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