Roberto Verna

1.5k total citations
73 papers, 1.1k citations indexed

About

Roberto Verna is a scholar working on Molecular Biology, Surgery and Physiology. According to data from OpenAlex, Roberto Verna has authored 73 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 14 papers in Surgery and 12 papers in Physiology. Recurrent topics in Roberto Verna's work include Ion Transport and Channel Regulation (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Iron Metabolism and Disorders (4 papers). Roberto Verna is often cited by papers focused on Ion Transport and Channel Regulation (8 papers), Lipoproteins and Cardiovascular Health (5 papers) and Iron Metabolism and Disorders (4 papers). Roberto Verna collaborates with scholars based in Italy, United States and France. Roberto Verna's co-authors include Ettore D’Ambrosio, Mariano Bizzarri, Marcello Arca, Alessandra Cucina, Anna Montali, Maria Laura Falchetti, Domenico Ombres, Simona Dinicola, Mirko Minini and Vittorio Unfer and has published in prestigious journals such as Journal of Biological Chemistry, Oncogene and International Journal of Molecular Sciences.

In The Last Decade

Roberto Verna

71 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Roberto Verna Italy 22 364 210 187 118 101 73 1.1k
Dewi K. Rowlands Hong Kong 19 543 1.5× 115 0.5× 169 0.9× 64 0.5× 168 1.7× 50 1.6k
Tetsu Watanabe Japan 23 572 1.6× 181 0.9× 296 1.6× 195 1.7× 137 1.4× 61 1.8k
Heidrun Karlic Austria 21 667 1.8× 172 0.8× 89 0.5× 144 1.2× 76 0.8× 50 1.4k
S. Sasaki Japan 16 443 1.2× 145 0.7× 249 1.3× 148 1.3× 189 1.9× 35 1.4k
Michiko Ito Japan 21 328 0.9× 205 1.0× 213 1.1× 82 0.7× 81 0.8× 84 1.3k
Charles C. L. Tong United States 23 415 1.1× 109 0.5× 446 2.4× 225 1.9× 83 0.8× 97 1.5k
Aus Tariq Ali South Africa 14 371 1.0× 293 1.4× 84 0.4× 96 0.8× 91 0.9× 30 1.2k
Alice G.M. Bot Netherlands 25 957 2.6× 253 1.2× 182 1.0× 135 1.1× 86 0.9× 42 1.9k
Ashok Singh India 19 624 1.7× 110 0.5× 150 0.8× 131 1.1× 68 0.7× 131 1.5k
N. Katz Germany 17 432 1.2× 295 1.4× 233 1.2× 142 1.2× 43 0.4× 46 1.4k

Countries citing papers authored by Roberto Verna

Since Specialization
Citations

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

Fields of papers citing papers by Roberto Verna

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Roberto Verna

This figure shows the co-authorship network connecting the top 25 collaborators of Roberto Verna. A scholar is included among the top collaborators of Roberto Verna 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 Roberto Verna. Roberto Verna 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.
Verna, Roberto, et al.. (2025). Environmental Pollution from Pharmaceuticals. Life. 15(9). 1341–1341.
2.
Bizzarri, Mariano, et al.. (2023). Myo-Inositol and D-Chiro-Inositol as Modulators of Ovary Steroidogenesis: A Narrative Review. Nutrients. 15(8). 1875–1875. 18 indexed citations
3.
Verna, Roberto. (2023). From alchemy to personalised medicine: the journey of laboratory medicine. Journal of Clinical Pathology. 76(5). 301–307.
4.
Bizzarri, Mariano, et al.. (2020). Rediscovery of natural compounds acting via multitarget recognition and noncanonical pharmacodynamical actions. Drug Discovery Today. 25(5). 920–927. 11 indexed citations
5.
6.
Proietti, Sara, Angela Catizone, Maria Grazia Masiello, et al.. (2018). Increase in motility and invasiveness ofMCF7 cancer cells induced by nicotine is abolished by melatonin through inhibition ofERKphosphorylation. Journal of Pineal Research. 64(4). e12467–e12467. 36 indexed citations
7.
Masiello, Maria Grazia, Roberto Verna, Alessandra Cucina, & Mariano Bizzarri. (2018). Physical constraints in cell fate specification. A case in point: Microgravity and phenotypes differentiation. Progress in Biophysics and Molecular Biology. 134. 55–67. 14 indexed citations
8.
Scola, Letizia, Antonino Crivello, Laura Palmeri, et al.. (2006). Cytokine Gene Polymorphisms and Breast Cancer Susceptibility. Annals of the New York Academy of Sciences. 1089(1). 104–109. 38 indexed citations
9.
Belleudi, Francesca, Filomena Campagna, Tina Garofalo, et al.. (2005). Adaptor Protein ARH Is Recruited to the Plasma Membrane by Low Density Lipoprotein (LDL) Binding and Modulates Endocytosis of the LDL/LDL Receptor Complex in Hepatocytes. Journal of Biological Chemistry. 280(46). 38416–38423. 28 indexed citations
10.
Cavallo, Maria Gisella, Anna Montali, L. Monetini, et al.. (2005). Tumor necrosis factor alpha (TNFα) and its soluble receptor p75 (sTNF-R p75) in familial combined hyperlipidemia (FCHL). Nutrition Metabolism and Cardiovascular Diseases. 15(4). 262–269. 3 indexed citations
11.
Pascale, Esterina, Luigi Tarani, Paolo Meglio, et al.. (2001). Absence of Association between a Variant of the Mast Cell Chymase Gene and Atopic Dermatitis in an Italian Population. Human Heredity. 51(3). 177–179. 15 indexed citations
12.
Arca, Marcello, Anna Montali, Domenico Ombres, et al.. (2001). Lack of association of the common TaqIB polymorphism in the cholesteryl ester transfer protein gene with angiographically assessed coronary atherosclerosis. Clinical Genetics. 60(5). 374–380. 32 indexed citations
13.
Falchetti, Maria Laura, Roberto Pallini, Ettore D’Ambrosio, et al.. (2000). In situ detection of telomerase catalytic subunit mRNA in glioblastoma multiforme. International Journal of Cancer. 88(6). 895–901. 37 indexed citations
14.
Falchetti, Maria Laura, Germana Falcone, Ettore D’Ambrosio, et al.. (1999). Induction of telomerase activity in v-myc-transformed avian cells. Oncogene. 18(7). 1515–1519. 27 indexed citations
15.
Angeletti, Barbara, et al.. (1997). A novel double nucleotide substitution in the HMG box of the SRY gene associated with Swyer syndrome. Human Genetics. 100(5-6). 585–587. 29 indexed citations
16.
Bravo, Elena, et al.. (1994). Influence of Age on Hepatic Uptake of HDL1-Cholesterol in Male Wistar Rats with Bile Duct Cannulation1. The Journal of Biochemistry. 115(5). 833–836. 8 indexed citations
17.
Cantàfora, Alfredo, et al.. (1993). Age-related changes in blood and liver lipids of male wistar rats. Archives of Gerontology and Geriatrics. 16(3). 249–262. 6 indexed citations
18.
Cantàfora, Alfredo, et al.. (1992). Influence of age on the lipoprotein profile of male Wistar rats. Archives of Gerontology and Geriatrics. 15. 93–100. 7 indexed citations
19.
Cugini, P, et al.. (1992). Erythrocyte transmembrane Na and K fluxes in pseudohypoaldosteronism. Biochemical Medicine and Metabolic Biology. 48(3). 241–254. 3 indexed citations
20.
Cugini, P, et al.. (1989). Chronobiological Evidence for an Uncoupling of theNa,K-ATPase to Aldosterone in Normal Renin Hypertension. Enzyme. 41(3). 159–167. 2 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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