Judith Hasler‐Rapacz

1.1k citations
34 papers · 910 · h-index 17

Impact in

Papers in

    • Peroxisome Proliferator-Activated Receptors 8
    • RNA and protein synthesis mechanisms 5
    • Lipoproteins and Cardiovascular Health 12
    • Cholesterol and Lipid Metabolism 6

Judith Hasler‐Rapacz

31 papers receiving 846 citations

Peers

Judith Hasler‐Rapacz
Comparison fields: 5 of 80
  • Endocrinology 54
  • Biochemistry 62
  • Cancer Research 98
  • Genetics 191
  • Surgery 269
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J. Rapacz United States
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Citations per year

Countries citing papers authored by Judith Hasler‐Rapacz

Since Specialization
Citations

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

Fields of papers citing papers by Judith Hasler‐Rapacz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Judith Hasler‐Rapacz. 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 Judith Hasler‐Rapacz. The network helps show where Judith Hasler‐Rapacz may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 34 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986134
2
Development of complex atherosclerotic lesions in pigs with inherited hyper-LDL cholesterolemia bearing mutant alleles for apolipoprotein B.
1991117
3 199892
4 200173
5 198649
6 198845
7 199231
8 199531
9 199430
10 199429
11
Porcine von Willebrand disease and atherosclerosis. Influence of polymorphism in apolipoprotein B100 genotype.
199226
12 199325
13 197824
14 199623
15 199123
16 198618
17 197618
18 199216
19 198816
20 199014

About Judith Hasler‐Rapacz

Judith Hasler‐Rapacz is a scholar working on Molecular Biology, Surgery, Immunology, Genetics and Cancer Research, having authored 34 papers that have together received 910 indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (12 papers), Peroxisome Proliferator-Activated Receptors (8 papers), Cancer, Lipids, and Metabolism (7 papers), Atherosclerosis and Cardiovascular Diseases (7 papers), Cholesterol and Lipid Metabolism (6 papers), RNA and protein synthesis mechanisms (5 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (4 papers) and Calpain Protease Function and Regulation (4 papers). The work is most often cited by research in Endocrinology (54 citations), Biochemistry (62 citations), Cancer Research (98 citations), Genetics (191 citations) and Surgery (269 citations). Judith Hasler‐Rapacz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include J. Rapacz, Alan Attie, W J Checovich, Zhi‐Liang Hu, David M. Peterson, Asaf A. Qureshi, Leif Andersson, Scott Kirk, Hans Ellegren and Anna‐Karin Fridolfsson. Their work appears in journals such as Animal Genetics, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Gene and Poultry Science.

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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