P. Weisweiler

882 citations
59 papers · 702 · h-index 16

Impact in

Papers in

    • Diabetes, Cardiovascular Risks, and Lipoproteins 29
    • Growth Hormone and Insulin-like Growth Factors 4
    • Lipoproteins and Cardiovascular Health 27
    • Cholesterol and Lipid Metabolism 9

P. Weisweiler

56 papers receiving 629 citations

Peers

P. Weisweiler
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 375
  • Cancer Research 115
  • Surgery 338
  • Nutrition and Dietetics 105
  • Biochemistry 41
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Citations per year

Countries citing papers authored by P. Weisweiler

Since Specialization
Citations

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

Fields of papers citing papers by P. Weisweiler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside P. Weisweiler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with P. Weisweiler Line = papers co-authored together P. Weisweiler links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 59 papers — load more, or switch the sort, to bring in the rest.

#Work
1 198787
2 198566
3 198741
4 198237
5 198733
6 198228
7 198325
8 198824
9 199421
10 198421
11 198020
12 198720
13 198919
14 198718
15
Effect of bezafibrate on the high-density lipoprotein subfractions HDL2 and HDL3 in primary hyperlipoproteinemia type IV.
198016
16
Serum lipoproteins and lecithin: cholesterol acyltransferase (LCAT) activity in hypercholesterolemic subjects given beta-sitosterol.
198415
17
Serum lipoprotein lipids after gemfibrozil treatment.
197914
18 198413
19 198613
20 198312

About P. Weisweiler

P. Weisweiler is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery, Cancer Research, Molecular Biology and Cardiology and Cardiovascular Medicine, having authored 59 papers that have together received 702 indexed citations. Recurring topics across this work include Diabetes, Cardiovascular Risks, and Lipoproteins (29 papers), Lipoproteins and Cardiovascular Health (27 papers), Cancer, Lipids, and Metabolism (20 papers), Cholesterol and Lipid Metabolism (9 papers), Metabolomics and Mass Spectrometry Studies (7 papers), Lipid metabolism and disorders (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers) and Peroxisome Proliferator-Activated Receptors (3 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (375 citations), Cancer Research (115 citations), Surgery (338 citations), Nutrition and Dietetics (105 citations) and Biochemistry (41 citations). P. Weisweiler has collaborated with scholars based in Germany and United States. Frequent co-authors include P. Schwändt, Michael Drosner, Martin Middeke, H. Holzgreve, Dieter Jüngst, Werner Richter, Volker Heinemann, Wolfgang H. Caselmann, Gottfried Weidinger and Heiner Greten. Their work appears in journals such as Atherosclerosis, Clinica Chimica Acta, Journal of Molecular Medicine, European Journal of Endocrinology and Clinical Chemistry and Laboratory Medicine (CCLM).

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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