C.J. Packard

58 papers receiving 2.1k citations

Peers

C.J. Packard
Comparison fields: 5 of 99
  • Endocrinology, Diabetes and Metabolism 927
  • Equine 53
  • Obstetrics and Gynecology 217
  • Cancer Research 363
  • Surgery 875
Replace James M. Felts with:
James M. Felts United States
Heidi L.M. Hak-Lemmers Netherlands
D.W. Erkelens Netherlands
Shirya Rashid Canada
Anders Gustafson Sweden
S. Colli Italy
Núria Plana Spain
Thomas P. Bersot United States
Josephine Cooney United Kingdom
E. Windler Germany
C.J. Packard relative to James M. Felts United States James M. Felts's profile →
Citations per field
00.5×8.3×
James M. Felts · 1×
Citations per year

Countries citing papers authored by C.J. Packard

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

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.

Border = papers with C.J. Packard Line = papers co-authored together C.J. Packard links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 60 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1984259
2 1997246
3 2003187
4 1998166
5 1979154
6 1980129
7 198299
8 199094
9 198392
10 198586
11 199072
12 198366
13 198862
14 199361
15
The microsomal triglyceride transfer protein-493T allele confers increased risk of coronary heart disease
200249
16
Plasma lipid abnormalities in retinitis pigmentosa and related conditions.
198349
17 198848
18 198243
19 198431
20 198524

About C.J. Packard

C.J. Packard is a scholar working on Surgery, Endocrinology, Diabetes and Metabolism, Cancer Research, Cardiology and Cardiovascular Medicine and Molecular Biology, having authored 60 papers that have together received 2.3k indexed citations. Recurring topics across this work include Lipoproteins and Cardiovascular Health (28 papers), Cancer, Lipids, and Metabolism (22 papers), Diabetes, Cardiovascular Risks, and Lipoproteins (21 papers), Lipid metabolism and disorders (10 papers), Cholesterol and Lipid Metabolism (6 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Metabolism and Genetic Disorders (5 papers) and Diet and metabolism studies (4 papers). The work is most often cited by research in Endocrinology, Diabetes and Metabolism (927 citations), Equine (53 citations), Obstetrics and Gynecology (217 citations), Cancer Research (363 citations) and Surgery (875 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, Alison F. Munro, A M Gotto, Muriel Caslake, Naveed Sattar, I. A. Greer and Colin Berry. Their work appears in journals such as Atherosclerosis, Journal of Lipid Research, Atherosclerosis Supplements, Journal of Clinical Investigation and Annals of Clinical Biochemistry International Journal of Laboratory Medicine.

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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