Pasquale Palmiero

43 papers receiving 865 citations

Hit Papers

Nutraceuticals and dyslipidaemia: Beyond the common thera...2014202620182022201450100150200250

Peers

Pasquale Palmiero
Comparison fields: 5 of 108
  • Cardiology and Cardiovascular Medicine 494
  • Surgery 141
  • Endocrinology, Diabetes and Metabolism 133
  • Epidemiology 109
  • Radiology, Nuclear Medicine and Imaging 107
Replace Maria Maiello with:
Maria Maiello Italy
Maria Virginia Manzi Italy
George S. Chrysant United States
Francesca Coppi Italy
Mukesh Singh United States
Cristina Agudo‐Conde Spain
Charles German United States
Jiko Yamada Japan
Dragan Lović Serbia
Miyuki Tsuchihashi Japan
Pasquale Palmiero relative to Maria Maiello Italy Maria Maiello's profile →
Citations per field
00.5×1.5×
Maria Maiello · 1×
Citations per year

Countries citing papers authored by Pasquale Palmiero

Since Specialization
Citations

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

Fields of papers citing papers by Pasquale Palmiero

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Pasquale Palmiero

This figure shows the co-authorship network connecting the top 25 collaborators of Pasquale Palmiero. A scholar is included among the top collaborators of Pasquale Palmiero 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 Pasquale Palmiero. Pasquale Palmiero 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
#WorkIndexed citations
1 7
2 0
3 30
4 3
5 14
6 11
7 49
8 3
9
Preclinical atherosclerosis, metabolic syndrome and risk of cardiovascular events
1
10 47
11 31
12 14
13 73
14 9
15 10
16 13
17 9
18 0
19 14
20
[Silent ischemia and ventricular arrhythmias in essential hypertension].
1

About Pasquale Palmiero

Pasquale Palmiero is a scholar working on Cardiology and Cardiovascular Medicine, Radiology, Nuclear Medicine and Imaging and Critical Care and Intensive Care Medicine, having authored 47 papers that have together received 906 indexed citations. Recurring topics across this work include Cardiovascular Function and Risk Factors (16 papers), Blood Pressure and Hypertension Studies (12 papers) and Cardiovascular Health and Disease Prevention (12 papers). The work is most often cited by research in Cardiology and Cardiovascular Medicine (494 citations), Endocrinology, Diabetes and Metabolism (133 citations) and Radiology, Nuclear Medicine and Imaging (107 citations). Pasquale Palmiero has collaborated with scholars based in Italy, United States and Spain. Frequent co-authors include Maria Maiello, Marco Matteo Ciccone, Roberto Pedrinelli, Pietro Scicchitano, Salvatore Novo, Matteo Cameli, Pier Sergio Saba, Pietro Amedeo Modesti, Annapaola Zito and Anna Vittoria Mattioli. Their work appears in journals such as Journal of Hypertension, American Journal of Hypertension and Journal of Functional Foods.

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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