J. Rapacz

48 papers receiving 1.2k citations

Peers

J. Rapacz
Comparison fields: 5 of 94
  • Biochemistry 145
  • Endocrinology 88
  • Cancer Research 141
  • Surgery 412
  • Immunology 193
Replace Judith Hasler‐Rapacz with:
Judith Hasler‐Rapacz United States
M. Pollard United States
Anjali Rao United States
Naoko Morinaga Japan
Beth Lipton United States
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Sarah G. Harris United States
Niladri Kar United States
Bronwyn A. O’Brien Australia
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J. Rapacz relative to Judith Hasler‐Rapacz United States Judith Hasler‐Rapacz's profile →
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Citations per year

Countries citing papers authored by J. Rapacz

Since Specialization
Citations

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

Fields of papers citing papers by J. Rapacz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 52 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1986127
2 1991121
3
Development of complex atherosclerotic lesions in pigs with inherited hyper-LDL cholesterolemia bearing mutant alleles for apolipoprotein B.
1991109
4 199888
5 200165
6
Genes specifying receptors for F18 fimbriated Escherichia coli, causing oedema disease and postweaning diarrhoea in pigs, map to chromosome 6.
199656
7 198851
8 198645
9 197844
10 198841
11 199530
12 199229
13 198829
14 199429
15 199427
16
Porcine von Willebrand disease and atherosclerosis. Influence of polymorphism in apolipoprotein B100 genotype.
199225
17 199324
18 197724
19 197824
20 199622

About J. Rapacz

J. Rapacz is a scholar working on Endocrinology, Microbiology, Immunology, Cancer Research and Biochemistry, having authored 52 papers that have together received 1.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (13 papers), Peroxisome Proliferator-Activated Receptors (12 papers), Cancer, Lipids, and Metabolism (9 papers), Atherosclerosis and Cardiovascular Diseases (9 papers), Cholesterol and Lipid Metabolism (6 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (5 papers), Microbial infections and disease research (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Biochemistry (145 citations), Endocrinology (88 citations), Cancer Research (141 citations), Surgery (412 citations) and Immunology (193 citations). J. Rapacz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include Judith Hasler‐Rapacz, Alan Attie, W J Checovich, David M. Peterson, John M. Opitz, Zhi‐Liang Hu, Asaf A. Qureshi, Brian Kirkpatrick, Anna‐Karin Fridolfsson and Scott Kirk. Their work appears in journals such as Animal Genetics, Genetics, Nature, Journal of Heredity and Journal of Lipid Research.

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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