P.J. Nestel

478 citations
16 papers · 403 indexed · h-index 11
Topics
Cholesterol and Lipid Metabolism (7 papers)Lipoproteins and Cardiovascular Health (5 papers)Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers)

In The Last Decade

P.J. Nestel

15 papers receiving 368 citations

Peers

P.J. Nestel
Comparison fields: 5 of 57
  • Surgery 205
  • Endocrinology, Diabetes and Metabolism 153
  • Molecular Biology 91
  • Cancer Research 85
  • Nutrition and Dietetics 66
Replace H.A. van der Voort with:
H.A. van der Voort Netherlands
D J Juhn United States
Valérie Guyard‐Dangremont France
U Beil Germany
G. J. Miller United Kingdom
M.C. Glangeaud Israel
Grace Stewart United Kingdom
HN Ginsberg United States
R. S. Lees United States
Kerstin Carlson Sweden
P.J. Nestel relative to H.A. van der Voort Netherlands H.A. van der Voort's profile →
Citations per field
00.5×1.5×
H.A. van der Voort · 1×
Citations per year

Countries citing papers authored by P.J. Nestel

Since Specialization
Citations

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

Fields of papers citing papers by P.J. Nestel

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by P.J. Nestel. 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 P.J. Nestel. The network helps show where P.J. Nestel may publish in the future.

Co-authorship network of co-authors of P.J. Nestel

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

All Works

16 of 16 papers shown
#WorkIndexed citations
1 4
2 70
3 19
4 30
5
Can eating baked beans lower plasma cholesterol?
25
6 49
7 1
8 5
9 10
10 18
11 21
12 26
13 38
14 9
15 22
16 56

About P.J. Nestel

P.J. Nestel is a scholar working on Endocrinology, Diabetes and Metabolism, Cancer Research and Surgery, having authored 16 papers that have together received 403 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (7 papers), Lipoproteins and Cardiovascular Health (5 papers) and Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (153 citations), Cancer Research (85 citations) and Biochemistry (38 citations). P.J. Nestel has collaborated with scholars based in Australia, United States and United Kingdom. Frequent co-authors include Paul D. Roach, Cynthia G. Sawyez, Murray W. Huff, B M Wolfe, Yasuhiko Homma, G. D. Calvert, Noel Fidge, Michael Reardon, R McArthur and Lynne Cobiac. Their work appears in journals such as Journal of Clinical Investigation, Circulation Research and American Journal of Clinical Nutrition.

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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