V. Zampoleri

560 total citations
8 papers, 118 citations indexed

About

V. Zampoleri is a scholar working on Surgery, Molecular Biology and Spectroscopy. According to data from OpenAlex, V. Zampoleri has authored 8 papers receiving a total of 118 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Surgery, 2 papers in Molecular Biology and 2 papers in Spectroscopy. Recurrent topics in V. Zampoleri's work include Lipoproteins and Cardiovascular Health (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer, Lipids, and Metabolism (2 papers). V. Zampoleri is often cited by papers focused on Lipoproteins and Cardiovascular Health (3 papers), Advanced Proteomics Techniques and Applications (2 papers) and Cancer, Lipids, and Metabolism (2 papers). V. Zampoleri collaborates with scholars based in Italy, Netherlands and Germany. V. Zampoleri's co-authors include Alberico L. Catapano, Evgeni Levin, Paul Knaapen, Nick S. Nurmohamed, João Pereira, Wolfgang Köenig, S. Matthijs Boekholdt, Andrea Baragetti, Renate M. Hoogeveen and Erik S.G. Stroes and has published in prestigious journals such as European Heart Journal, Cardiovascular Research and Atherosclerosis.

In The Last Decade

V. Zampoleri

8 papers receiving 116 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
V. Zampoleri Italy 4 37 36 27 22 21 8 118
Stephanie A. Bonney United Kingdom 5 18 0.5× 22 0.6× 100 3.7× 23 1.0× 12 0.6× 6 151
Shang-Quan Xiong China 7 35 0.9× 27 0.8× 28 1.0× 17 0.8× 28 1.3× 10 106
Francesca Davato Italy 7 29 0.8× 22 0.6× 42 1.6× 17 0.8× 31 1.5× 9 125
Anita Rana United States 8 25 0.7× 60 1.7× 35 1.3× 7 0.3× 17 0.8× 12 165
Émilie Gobeil Canada 7 38 1.0× 11 0.3× 27 1.0× 32 1.5× 63 3.0× 15 121
Marta Fanlo‐Maresma Spain 8 25 0.7× 12 0.3× 19 0.7× 24 1.1× 26 1.2× 13 119
Sarbani Adhikari United States 3 17 0.5× 25 0.7× 41 1.5× 16 0.7× 13 0.6× 3 123
Meera Marji United States 7 47 1.3× 20 0.6× 36 1.3× 18 0.8× 15 0.7× 9 135
Jérôme Bourgault Canada 8 47 1.3× 8 0.2× 31 1.1× 36 1.6× 64 3.0× 16 135

Countries citing papers authored by V. Zampoleri

Since Specialization
Citations

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

Fields of papers citing papers by V. Zampoleri

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of V. Zampoleri

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

All Works

8 of 8 papers shown
1.
Gulizia, Michele Massimo, Aldo P. Maggioni, Maurizio Giuseppe Abrignani, et al.. (2020). Prevalence Of familial hypercholeSTerolaemia (FH) in Italian Patients with coronary artERy disease: The POSTER study. Atherosclerosis. 308. 32–38. 8 indexed citations
2.
Bonacina, Fabrizia, Elisa Martini, Monika Svecla, et al.. (2020). Adoptive transfer of CX3CR1 transduced-T regulatory cells improves homing to the atherosclerotic plaques and dampens atherosclerosis progression. Cardiovascular Research. 117(9). 2069–2082. 31 indexed citations
3.
Hoogeveen, Renate M., Nick S. Nurmohamed, V. Zampoleri, et al.. (2020). Improved cardiovascular risk prediction using plasma proteomics in primary prevention. Atherosclerosis. 315. e27–e27. 1 indexed citations
4.
Baragetti, Andrea, Fabrizia Bonacina, Lorenzo Da Dalt, et al.. (2020). Genetically determined hypercholesterolaemia results into premature leucocyte telomere length shortening and reduced haematopoietic precursors. European Journal of Preventive Cardiology. 29(5). 721–729. 4 indexed citations
5.
Hoogeveen, Renate M., João Pereira, Nick S. Nurmohamed, et al.. (2020). Improved cardiovascular risk prediction using targeted plasma proteomics in primary prevention. European Heart Journal. 41(41). 3998–4007. 71 indexed citations
6.
Magni, Paolo, Andrea Baragetti, Manuela Casula, et al.. (2019). Life-Style And Cardio-Metabolic Profile Of A Population Living In A Clustered Alpine Village (The Plic Chiesa Study): Comparison With An Urban Cohort (Plic Study). Atherosclerosis. 287. e83–e84. 1 indexed citations
7.
Baragetti, Andrea, et al.. (2019). Triglycerides Rich Lipoproteins Elicit Cellular And Endothelial Inflammation. Atherosclerosis. 287. e61–e61. 1 indexed citations
8.
Baragetti, Andrea, V. Zampoleri, Patrizia Uboldi, et al.. (2018). PCSK9 deficiency results in altered glucose control and increased ectopic fat accumulation in experimental models and in humans. Atherosclerosis. 275. e2–e2. 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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