JJP Kastelein

497 citations
10 papers · 418 indexed · h-index 9
Topics
Lipoproteins and Cardiovascular Health (7 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers)Cholesterol and Lipid Metabolism (4 papers)

In The Last Decade

JJP Kastelein

10 papers receiving 409 citations

Peers

JJP Kastelein
Comparison fields: 5 of 55
  • Surgery 279
  • Endocrinology, Diabetes and Metabolism 217
  • Cardiology and Cardiovascular Medicine 146
  • Molecular Biology 99
  • Oncology 73
Replace Isabel de Castro-Orós with:
Isabel de Castro-Orós Spain
August H. M. Smelt Netherlands
Elena V. Feofanova United States
J.A. Kuivenhoven Netherlands
H. U. Kloer Germany
Christiane Dachet France
Amanda J. Brahm Canada
Norbert Looije Netherlands
Alessandra Scamporrino Italy
Norimichi Nakajima Japan
JJP Kastelein relative to Isabel de Castro-Orós Spain Isabel de Castro-Orós's profile →
Citations per field
00.5×3.3×
Isabel de Castro-Orós · 1×
Citations per year

Countries citing papers authored by JJP Kastelein

Since Specialization
Citations

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

Fields of papers citing papers by JJP Kastelein

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of JJP Kastelein

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

All Works

10 of 10 papers shown
#WorkIndexed citations
1 17
2 62
3 14
4 10
5 37
6 1
7 41
8 87
9 47
10 102

About JJP Kastelein

JJP Kastelein is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Cancer Research, having authored 10 papers that have together received 418 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (7 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (6 papers) and Cholesterol and Lipid Metabolism (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (217 citations), Cardiology and Cardiovascular Medicine (146 citations) and Surgery (279 citations). JJP Kastelein has collaborated with scholars based in Netherlands, Canada and United States. Frequent co-authors include Michael R. Hayden, Susanne M. Clee, Odell Loubser, EJ Schaefer, Martin G. Larson, José M. Ordovás, Roshni R. Singaraja, J. Wouter Jukema, Jennifer A. Collins and S. Matthijs Boekholdt. Their work appears in journals such as Current Opinion in Lipidology, Clinical Genetics and Lupus.

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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