C.J. Packard
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- Diabetes, Cardiovascular Risks, and Lipoproteins 20
- Equine top 2%
- Obstetrics and Gynecology top 2%
- Cancer Research top 5%
- Cancer, Lipids, and Metabolism 20
- Surgery top 5%
- Lipoproteins and Cardiovascular Health 28
- Cholesterol and Lipid Metabolism 6
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- Lipid metabolism and disorders 11
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- Metabolism and Genetic Disorders 5
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- Peroxisome Proliferator-Activated Receptors 5
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- Diet and metabolism studies 4
- Co-authors
- J. ShepherdA R LorimerMarja‐Riitta TaskinenHoward R. SlaterA M GottoAlison F. MunroMuriel CaslakeNaveed Sattar
- Journals
- Atherosclerosis (16 papers)Journal of Lipid Research (4 papers)Journal of Clinical Investigation (3 papers)
- Partner nations
- United KingdomFinlandUnited States
In The Last Decade
C.J. Packard
57 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 98
- Endocrinology, Diabetes and Metabolism 999
- Equine 55
- Obstetrics and Gynecology 226
- Cancer Research 370
- Surgery 925
Countries citing papers authored by C.J. Packard
This map shows the geographic impact of C.J. Packard'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 C.J. Packard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites C.J. Packard more than expected).
Fields of papers citing papers by C.J. Packard
This network shows the impact of papers produced by C.J. Packard. 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 C.J. Packard. The network helps show where C.J. Packard may publish in the future.
Co-authorship network
The 25 scholars most cited alongside C.J. Packard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2025 | 3 | |
| 2 | The microsomal triglyceride transfer protein-493T allele confers increased risk of coronary heart disease | 2002 | 46 |
| 3 | 2002 | 11 | |
| 4 | 2001 | 5 | |
| 5 | 1998 | 157 | |
| 6 | 1997 | 14 | |
| 7 | 1997 | 233 | |
| 8 | 1997 | 1 | |
| 9 | 1993 | 11 | |
| 10 | 1993 | 59 | |
| 11 | 1992 | 13 | |
| 12 | 1992 | 11 | |
| 13 | 1990 | 92 | |
| 14 | 1988 | 48 | |
| 15 | 1988 | 62 | |
| 16 | 1988 | 6 | |
| 17 | 1988 | 15 | |
| 18 | 1986 | 13 | |
| 19 | 1979 | 143 | |
| 20 | Effect of saturated vs poly unsaturated fat on high density lipo protein metabolism in normal subjects | 1977 | 1 |
About C.J. Packard
C.J. Packard is a scholar working on Cancer Research, Endocrinology, Diabetes and Metabolism and Equine, having authored 58 papers that have together received 2.2k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (28 papers), Cancer, Lipids, and Metabolism (20 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (20 papers), Lipid metabolism and disorders (11 papers), Cholesterol and Lipid Metabolism (6 papers), Metabolism and Genetic Disorders (5 papers), Peroxisome Proliferator-Activated Receptors (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (999 citations), Equine (55 citations) and Obstetrics and Gynecology (226 citations). C.J. Packard has collaborated with scholars based in United Kingdom, Finland and United States. Frequent co-authors include J. Shepherd, A R Lorimer, Marja‐Riitta Taskinen, Howard R. Slater, A M Gotto, Alison F. Munro, Muriel Caslake, Naveed Sattar, I. A. Greer and Colin Berry. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Journal of Clinical Investigation, Atherosclerosis Supplements and Diabetes.
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.