Vanessa Venturelli

519 total citations
7 papers, 434 citations indexed

About

Vanessa Venturelli is a scholar working on Cardiology and Cardiovascular Medicine, Endocrinology, Diabetes and Metabolism and Surgery. According to data from OpenAlex, Vanessa Venturelli has authored 7 papers receiving a total of 434 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Cardiology and Cardiovascular Medicine, 2 papers in Endocrinology, Diabetes and Metabolism and 1 paper in Surgery. Recurrent topics in Vanessa Venturelli's work include Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Renin-Angiotensin System Studies (2 papers). Vanessa Venturelli is often cited by papers focused on Heart Failure Treatment and Management (3 papers), Cardiovascular Function and Risk Factors (3 papers) and Renin-Angiotensin System Studies (2 papers). Vanessa Venturelli collaborates with scholars based in Italy. Vanessa Venturelli's co-authors include Massimo Volpe, Speranza Rubattu, Francesco Cosentino, Carmine Savoia, Andrea Ferrucci, Sebastiano Sciarretta, Giuliano Tocci, Luciano De Biase, Rosita Stanzione and Paola Stella and has published in prestigious journals such as Journal of the American College of Cardiology, Journal of Hypertension and Peptides.

In The Last Decade

Vanessa Venturelli

7 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vanessa Venturelli Italy 7 298 94 87 60 52 7 434
Wai Ping Alicia Chan Australia 11 196 0.7× 58 0.6× 91 1.0× 101 1.7× 37 0.7× 19 487
Yuko Tsurumi‐Ikeya Japan 15 307 1.0× 140 1.5× 97 1.1× 59 1.0× 31 0.6× 19 473
Ying‐Tsung Chen Taiwan 14 245 0.8× 56 0.6× 108 1.2× 55 0.9× 50 1.0× 35 543
Fumihiro Tomoda Japan 12 146 0.5× 67 0.7× 51 0.6× 51 0.8× 60 1.2× 44 354
Richard P.E. van Dokkum Netherlands 18 393 1.3× 133 1.4× 140 1.6× 163 2.7× 92 1.8× 26 805
Giuseppe Armentaro Italy 14 222 0.7× 90 1.0× 45 0.5× 92 1.5× 64 1.2× 56 453
B. A. J. Veldman Netherlands 9 106 0.4× 82 0.9× 117 1.3× 112 1.9× 61 1.2× 15 482
Yinong Jiang China 13 342 1.1× 63 0.7× 89 1.0× 34 0.6× 88 1.7× 46 560
Toyohisa Jinno Japan 9 219 0.7× 95 1.0× 113 1.3× 45 0.8× 42 0.8× 12 403
Kojiro Ichikawa Japan 11 165 0.6× 95 1.0× 62 0.7× 51 0.8× 43 0.8× 14 390

Countries citing papers authored by Vanessa Venturelli

Since Specialization
Citations

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

Fields of papers citing papers by Vanessa Venturelli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vanessa Venturelli

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

All Works

7 of 7 papers shown
1.
Colivicchi, Furio, Michele Massimo Gulizia, Marcello Arca, et al.. (2020). Lipid Lowering Treatment and Eligibility for PCSK9 Inhibition in Post-Myocardial Infarction Patients in Italy: Insights from Two Contemporary Nationwide Registries. Cardiovascular Therapeutics. 2020. 1–8. 10 indexed citations
2.
Sciarretta, Sebastiano, Andrea Ferrucci, Vanessa Venturelli, et al.. (2007). Markers of Inflammation and Fibrosis Are Related to Cardiovascular Damage in Hypertensive Patients with Metabolic Syndrome. American Journal of Hypertension. 20(7). 784–791. 87 indexed citations
3.
Rubattu, Speranza, Sebastiano Sciarretta, Giuseppino Massimo Ciavarella, et al.. (2007). Reduced levels of N-terminal-proatrial natriuretic peptide in hypertensive patients with metabolic syndrome and their relationship with left ventricular mass. Journal of Hypertension. 25(4). 833–839. 33 indexed citations
4.
Rubattu, Speranza, Giada Bigatti, Anna Evangelista, et al.. (2006). Association of Atrial Natriuretic Peptide and Type A Natriuretic Peptide Receptor Gene Polymorphisms With Left Ventricular Mass in Human Essential Hypertension. Journal of the American College of Cardiology. 48(3). 499–505. 125 indexed citations
5.
Cosentino, Francesco, Carmine Savoia, Pietro Francia, et al.. (2005). Angiotensin II type 2 receptors contribute to vascular responses in spontaneously hypertensive rats treated with angiotensin II type 1 receptor antagonists. American Journal of Hypertension. 18(4). 493–499. 99 indexed citations
6.
Rubattu, Speranza, Paola De Paolis, Rosita Stanzione, et al.. (2002). Effect of a regulatory mutation on the rat atrial natriuretic peptide gene transcription. Peptides. 23(3). 555–560. 11 indexed citations
7.
Cosentino, Francesco, et al.. (2001). Endothelial Dysfunction and Stroke. Journal of Cardiovascular Pharmacology. 38. S75–S78. 69 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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