Judith Hasler‐Rapacz
Impact in
- Endocrinology top 5%
- Escherichia coli research studies
- Immunology top 10%
- Atherosclerosis and Cardiovascular Diseases
Papers in
- Co-authors
- J. Rapacz (29 shared papers)Alan Attie (3 shared papers)William J. Checovich (1 shared paper)Zhi‐Liang Hu (5 shared papers)David M. Peterson (1 shared paper)Asaf A. Qureshi (1 shared paper)Anna‐Karin Fridolfsson (1 shared paper)Scott M. Kirk (1 shared paper)
- Journals
- Animal Genetics (5 papers)Journal of Lipid Research (3 papers)Arteriosclerosis Thrombosis and Vascular Biology (2 papers)Gene (2 papers)Genetics (1 paper)
- Partner nations
- United StatesSwitzerlandSweden
In The Last Decade
Judith Hasler‐Rapacz
28 papers receiving 799 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 58
- Immunology 155
- Genetics 208
- Biochemistry 49
- Surgery 292
Countries citing papers authored by Judith Hasler‐Rapacz
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
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.
All Works
Showing the 20 most-cited of 30 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1986 | 132 | |
| 2 | Development of complex atherosclerotic lesions in pigs with inherited hyper-LDL cholesterolemia bearing mutant alleles for apolipoprotein B. | 1991 | 118 |
| 3 | 1998 | 94 | |
| 4 | 2001 | 73 | |
| 5 | 1986 | 47 | |
| 6 | 1988 | 42 | |
| 7 | 1995 | 32 | |
| 8 | 1992 | 31 | |
| 9 | 1994 | 30 | |
| 10 | 1994 | 28 | |
| 11 | 1978 | 24 | |
| 12 | 1996 | 24 | |
| 13 | 1991 | 23 | |
| 14 | 1993 | 23 | |
| 15 | 1976 | 18 | |
| 16 | 1986 | 18 | |
| 17 | 1992 | 18 | |
| 18 | 1993 | 14 | |
| 19 | 1986 | 13 | |
| 20 | 1988 | 13 |
About Judith Hasler‐Rapacz
Judith Hasler‐Rapacz is a scholar working on Surgery, Genetics, Endocrinology, Cardiology and Cardiovascular Medicine and Immunology, having authored 30 papers that have together received 861 indexed citations. Recurring topics across this work include Cholesterol and Lipid Metabolism (16 papers), Lipoproteins and Cardiovascular Health (14 papers), Genetic and phenotypic traits in livestock (12 papers), Lipid metabolism and disorders (4 papers), Escherichia coli research studies (3 papers), Atherosclerosis and Cardiovascular Diseases (3 papers), Natural Products and Biological Research (1 paper) and Antioxidant Activity and Oxidative Stress (1 paper). The work is most often cited by research in Endocrinology (58 citations), Immunology (155 citations), Genetics (208 citations), Biochemistry (49 citations) and Surgery (292 citations). Judith Hasler‐Rapacz has collaborated with scholars based in United States, Switzerland and Sweden. Frequent co-authors include J. Rapacz, Alan Attie, William J. Checovich, Zhi‐Liang Hu, David M. Peterson, Asaf A. Qureshi, Anna‐Karin Fridolfsson, Scott M. Kirk, Leif Andersson and Hans Ellegren. Their work appears in journals such as Animal Genetics, Journal of Lipid Research, Arteriosclerosis Thrombosis and Vascular Biology, Gene and Genetics.
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.