Antonino Picataggi

755 citations
8 papers · 477 indexed · 1 hit paper · h-index 6
Topics
Cholesterol and Lipid Metabolism (4 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)Lipid metabolism and disorders (2 papers)

In The Last Decade

Antonino Picataggi

8 papers receiving 476 citations

Hit Papers

Association of HDL cholesterol efflux capacity with incid...20152026201820222015100200300

Peers

Antonino Picataggi
Comparison fields: 5 of 70
  • Surgery 265
  • Endocrinology, Diabetes and Metabolism 236
  • Molecular Biology 108
  • Cardiology and Cardiovascular Medicine 108
  • Cancer Research 88
Replace Federico Bigazzi with:
Federico Bigazzi Italy
Chenzhong Li China
David Santos Spain
G Capretti Italy
Dai Shimono Japan
Stacey Galloway United Kingdom
Paul Robillard France
Seok‐Woo Hong South Korea
Amanda Mather Australia
Antonino Picataggi relative to Federico Bigazzi Italy Federico Bigazzi's profile →
Citations per field
00.5×2.6×
Federico Bigazzi · 1×
Citations per year

Countries citing papers authored by Antonino Picataggi

Since Specialization
Citations

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

Fields of papers citing papers by Antonino Picataggi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonino Picataggi

This figure shows the co-authorship network connecting the top 25 collaborators of Antonino Picataggi. A scholar is included among the top collaborators of Antonino Picataggi 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 Antonino Picataggi. Antonino Picataggi 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
#WorkIndexed citations
1 11
2 7
3 36
4 20
5 19
6
Association of HDL cholesterol efflux capacity with incident coronary heart disease events: a prospective case-control studybreakdown →
376
7 3
8 5

About Antonino Picataggi

Antonino Picataggi is a scholar working on Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Surgery, having authored 8 papers that have together received 477 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (4 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Lipid metabolism and disorders (2 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (236 citations), Surgery (265 citations) and Cancer Research (88 citations). Antonino Picataggi has collaborated with scholars based in United States, United Kingdom and Netherlands. Frequent co-authors include Daniel J. Rader, Amrith Rodrigues, Megan Mucksavage, Robert A. Scott, Robert Luben, S. Matthijs Boekholdt, Danish Saleheen, Sundas Javad, Nicholas J. Wareham and John J.P. Kastelein. Their work appears in journals such as Circulation, Journal of Lipid Research and Journal of Alzheimer s Disease.

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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