Judith Hasler‐Rapacz

1.1k total citations
33 papers, 859 citations indexed

About

Judith Hasler‐Rapacz is a scholar working on Molecular Biology, Surgery and Immunology. According to data from OpenAlex, Judith Hasler‐Rapacz has authored 33 papers receiving a total of 859 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 16 papers in Surgery and 9 papers in Immunology. Recurrent topics in Judith Hasler‐Rapacz's work include Lipoproteins and Cardiovascular Health (12 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Cancer, Lipids, and Metabolism (7 papers). Judith Hasler‐Rapacz is often cited by papers focused on Lipoproteins and Cardiovascular Health (12 papers), Peroxisome Proliferator-Activated Receptors (8 papers) and Cancer, Lipids, and Metabolism (7 papers). Judith Hasler‐Rapacz collaborates with scholars based in United States, Switzerland and Sweden. Judith Hasler‐Rapacz's co-authors include J. Rapacz, Alan Attie, W J Checovich, Zhi‐Liang Hu, David M. Peterson, Asaf A. Qureshi, Brian Kirkpatrick, Anna‐Karin Fridolfsson, Scott Kirk and Hans Ellegren and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Genetics.

In The Last Decade

Judith Hasler‐Rapacz

31 papers receiving 812 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Judith Hasler‐Rapacz United States 17 298 297 176 146 135 33 859
J. Rapacz United States 21 452 1.5× 412 1.4× 234 1.3× 171 1.2× 193 1.4× 52 1.3k
Samuel C. Smith United States 18 217 0.7× 154 0.5× 146 0.8× 37 0.3× 119 0.9× 43 779
David F. Gray Australia 15 302 1.0× 80 0.3× 46 0.3× 141 1.0× 223 1.7× 40 804
Martin Sumner-Smith Canada 19 793 2.7× 200 0.7× 171 1.0× 40 0.3× 91 0.7× 26 1.4k
Duane L. Peavy United States 11 204 0.7× 112 0.4× 49 0.3× 63 0.4× 534 4.0× 17 948
Fei Su China 13 242 0.8× 130 0.4× 39 0.2× 47 0.3× 132 1.0× 38 648
Björn Magnusson Sweden 13 394 1.3× 129 0.4× 62 0.4× 48 0.3× 90 0.7× 19 839
Xingli Fu China 22 550 1.8× 135 0.5× 111 0.6× 50 0.3× 76 0.6× 51 1.2k
Sonia Morales Spain 18 406 1.4× 60 0.2× 84 0.5× 53 0.4× 59 0.4× 37 1.1k
E. Hasselager Denmark 14 226 0.8× 164 0.6× 67 0.4× 13 0.1× 230 1.7× 30 843

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-authorship network of co-authors of Judith Hasler‐Rapacz

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

All Works

20 of 20 papers shown
1.
Qureshi, Asaf A., David M. Peterson, Judith Hasler‐Rapacz, & J. Rapacz. (2001). Novel Tocotrienols of Rice Bran Suppress Cholesterogenesis in Hereditary Hypercholesterolemic Swine. Journal of Nutrition. 131(2). 223–230. 65 indexed citations
2.
Hasler‐Rapacz, Judith, Hans Ellegren, Anna‐Karin Fridolfsson, et al.. (1998). Identification of a mutation in the low density lipoprotein receptor gene associated with recessive familial hypercholesterolemia in swine. American Journal of Medical Genetics. 76(5). 379–386. 88 indexed citations
3.
Hasler‐Rapacz, Judith, Hans Ellegren, Anna‐Karin Fridolfsson, et al.. (1998). Identification of a mutation in the low density lipoprotein receptor gene associated with recessive familial hypercholesterolemia in swine. American Journal of Medical Genetics. 76(5). 379–386.
4.
Rapacz, J., et al.. (1994). Identification of new apolipoprotein B epitopes and haplotypes and their distribution in swine populations. Animal Genetics. 25(S1). 51–57. 6 indexed citations
5.
Prescott, Margaret F., et al.. (1994). Familial Hypercholesterolemia Associated with Coronary Atherosclerosis in Swine Bearing Different Alleles for Apolipoprotein B. Annals of the New York Academy of Sciences. 748(1). 283–292. 27 indexed citations
6.
Hasler‐Rapacz, Judith, Timothy C. Nichols, Thomas R. Griggs, Dwight A. Bellinger, & J. Rapacz. (1994). Familial and diet-induced hypercholesterolemia in swine. Lipid, ApoB, and ApoA-I concentrations and distributions in plasma and lipoprotein subfractions.. Arteriosclerosis and Thrombosis A Journal of Vascular Biology. 14(6). 923–930. 29 indexed citations
7.
8.
Trieu, Vuong, Judith Hasler‐Rapacz, J. Rapacz, & Dennis D. Black. (1993). Sequences and expression of the porcine apolipoprotein A-I and C-III mRNAs. Gene. 123(2). 173–179. 13 indexed citations
9.
Huang, Shu‐Cai, Zhi‐Liang Hu, Judith Hasler‐Rapacz, & J. Rapacz. (1992). Preferential mammary storage and secretion of immunoglobulin gamma (IgG) subclasses in swine. Journal of Reproductive Immunology. 21(1). 15–28. 29 indexed citations
10.
Hasler‐Rapacz, Judith, et al.. (1992). Assignment of the pig apolipoprotein B locus (APOB) to chromosome region 3q24‐qter. Animal Genetics. 23(1). 71–75. 16 indexed citations
11.
Nichols, Timothy C., Dwight A. Bellinger, Gary G. Koch, et al.. (1992). Porcine von Willebrand disease and atherosclerosis. Influence of polymorphism in apolipoprotein B100 genotype.. PubMed. 140(2). 403–15. 25 indexed citations
12.
Hasler‐Rapacz, Judith, et al.. (1991). Development of complex atherosclerotic lesions in pigs with inherited hyper-LDL cholesterolemia bearing mutant alleles for apolipoprotein B.. PubMed. 139(1). 139–47. 109 indexed citations
13.
Hasler‐Rapacz, Judith, et al.. (1990). Concentrations and compositions of plasma lipoprotein subfractions of Lpb5-Lpu1 homozygous and heterozygous swine with hypercholesterolemia.. Journal of Lipid Research. 31(5). 839–847. 14 indexed citations
14.
Hasler‐Rapacz, Judith, et al.. (1989). Plasminogen polymorphism in swine. Comparative Biochemistry and Physiology Part B Comparative Biochemistry. 93(2). 325–331. 3 indexed citations
15.
Rapacz, J., Judith Hasler‐Rapacz, & Walter J. McConathy. (1989). Separation of swine plasma LDL from Lpb2/3 heterozygotes into two apoB allelic haplotypes, Lpb2 and Lpb3, with apoB epitope specific antibodies.. Journal of Lipid Research. 30(2). 199–206. 4 indexed citations
16.
17.
Newman, Marsha, et al.. (1988). Molecular genetics of the apolipoprotein B gene in pigs in relation to atherosclerosis. Gene. 70(2). 213–229. 41 indexed citations
18.
Juneja, Rajiv, B. Gahne, J. Rapacz, & Judith Hasler‐Rapacz. (1986). Linkage between the porcine genes encoding immunoglobulin heavy‐chain allotypes and some serum α‐protease inhibitors: a conserved linkage in pig, mouse and human. Animal Genetics. 17(3). 225–233. 15 indexed citations
19.
20.
Rapacz, J., et al.. (1976). Immunogenetic polymorphism of lipoproteins in swine. 1. Four additional serum β‐lipoprotein allotypes (Lpp2, Lpp4, Lpp5 and Lpp15) in the Lpp system1. Animal Blood Groups and Biochemical Genetics. 7(2). 157–177. 18 indexed citations

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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