F. Bernini

1.9k citations
24 papers · 1.5k indexed · 1 hit paper · h-index 14
Topics
Lipoproteins and Cardiovascular Health (11 papers)Cholesterol and Lipid Metabolism (5 papers)Computational Drug Discovery Methods (4 papers)
Partner nations
ItalyPolandUnited States

In The Last Decade

F. Bernini

23 papers receiving 1.5k citations

Hit Papers

New insights into the pharmacodynamic and pharmacokinetic...19992026200820171999200400600

Peers

F. Bernini
Comparison fields: 5 of 106
  • Surgery 812
  • Molecular Biology 307
  • Cancer Research 276
  • Immunology 214
  • Endocrinology, Diabetes and Metabolism 212
Replace R. Fumagalli with:
R. Fumagalli Italy
Zuhier Awan Saudi Arabia
Frank Jacobs Belgium
M. Canavesi Italy
Bo Jiang China
Mitsuteru Kitade Japan
Pengfei Yu China
Carl Whatling Sweden
Taku Naiki Japan
Usha R. Pendurthi United States
F. Bernini relative to R. Fumagalli Italy R. Fumagalli's profile →
Citations per field
00.5×6.3×
R. Fumagalli · 1×
Citations per year

Countries citing papers authored by F. Bernini

Since Specialization
Citations

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

Fields of papers citing papers by F. Bernini

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of F. Bernini

This figure shows the co-authorship network connecting the top 25 collaborators of F. Bernini. A scholar is included among the top collaborators of F. Bernini 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 F. Bernini. F. Bernini 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 0
2 9
3 5
4 5
5 80
6 79
7 16
8 35
9 11
10 134
11 30
12 1
13 21
14 108
15 50
16
New insights into the pharmacodynamic and pharmacokinetic properties of statinsbreakdown →
648
17
Defective cholesterol efflux into plasmas of apolipoprotein E-deficient men and mice
1
18 77
19 1
20 63

About F. Bernini

F. Bernini is a scholar working on Surgery, Transplantation and Computational Theory and Mathematics, having authored 24 papers that have together received 1.5k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (11 papers), Cholesterol and Lipid Metabolism (5 papers) and Computational Drug Discovery Methods (4 papers). The work is most often cited by research in Cancer Research (276 citations), Surgery (812 citations) and Endocrinology, Diabetes and Metabolism (212 citations). F. Bernini has collaborated with scholars based in Italy, Poland and United States. Frequent co-authors include Rodolfo Paoletti, R. Fumagalli, Alberto Corsini, Stefano Bellosta, Roberta Baetta, Francesca Zimetti, Elda Favari, Maria Pia Adorni, Nicoletta Ronda and Pier Luigi Meroni. Their work appears in journals such as Journal of Biological Chemistry, PLoS ONE and FEBS Letters.

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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