Andreas Wehinger

596 citations
16 papers · 506 · h-index 10

Impact in

Papers in

    • Cholesterol and Lipid Metabolism 5
    • Lipoproteins and Cardiovascular Health 3
    • Peroxisome Proliferator-Activated Receptors 2
    • Viral Infectious Diseases and Gene Expression in Insects 1

Andreas Wehinger

15 papers receiving 494 citations

Peers

Andreas Wehinger
Comparison fields: 5 of 68
  • Endocrinology, Diabetes and Metabolism 99
  • Sensory Systems 26
  • Spectroscopy 91
  • Biomedical Engineering 234
  • Bioengineering 22
Replace Przemysław Miarka with:
Przemysław Miarka Poland
Christoph Grabmer Austria
Alfred Haidenberger Germany
Giuseppe Santini Italy
Ran Kremer Israel
Enrico Capodicasa Italy
Rolf Hackler Germany
Filippo Longo Italy
Myung Ja Choi South Korea
Janis Stoll United States
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Citations per field
00.5×5.8×
Przemysław Miarka · 1×
Citations per year

Countries citing papers authored by Andreas Wehinger

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Wehinger

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Andreas Wehinger, 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 Andreas Wehinger Line = papers co-authored together Andreas Wehinger links everyone, so they are left out of the graph.

All Works

16 of 16 papers shown
#Work
1 2007250
2 200744
3 201043
4 200829
5 200528
6 200726
7 200521
8 200820
9 200715
10 200810
11 20096
12 20066
13 20065
14 20052
15
Hyperthyroidism decreases plasma HDL cholesterol by inhibition of hepatic ABCA1 expression
20061
16 20090

About Andreas Wehinger

Andreas Wehinger is a scholar working on Surgery, Molecular Biology, Endocrinology, Diabetes and Metabolism, Nutrition and Dietetics and Genetics, having authored 16 papers that have together received 506 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (5 papers), Lipoproteins and Cardiovascular Health (3 papers), Peroxisome Proliferator-Activated Receptors (2 papers), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Coagulation, Bradykinin, Polyphosphates, and Angioedema (1 paper), Eicosanoids and Hypertension Pharmacology (1 paper), Vitamin K Research Studies (1 paper) and Inflammatory mediators and NSAID effects (1 paper). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (99 citations), Sensory Systems (26 citations), Spectroscopy (91 citations), Biomedical Engineering (234 citations) and Bioengineering (22 citations). Andreas Wehinger has collaborated with scholars based in Austria, France and Sweden. Frequent co-authors include Alex P. Schmid, Sergei Mechtcheriakov, Christoph Grabmer, Maximilian Ledochowski, Anton Amann, Guenther Gastl, Andreas Ritsch, Ivan Tancevski, Wilfried Schgoer and Kathrin Eller. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Mammalian Genome, Metabolism and Journal of Molecular Medicine.

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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