Mavis Abbey

4.3k citations
49 papers · 3.8k · h-index 30

Impact in

Papers in

Mavis Abbey

49 papers receiving 3.4k citations

Peers

Mavis Abbey
Comparison fields: 5 of 119
  • Biochemistry 731
  • Nutrition and Dietetics 1.7k
  • Biochemistry 422
  • Endocrinology, Diabetes and Metabolism 732
  • Pathology and Forensic Medicine 643
Replace Murray W. Huff with:
Murray W. Huff Canada
SM Grundy United States
MB Katan Netherlands
Edward S. Debnam United Kingdom
Michel Guichardant France
Neil F. Shay United States
Maria A. Leo United States
B. Åkesson Sweden
Diane W. Morel United States
Donald J. McNamara United States
Mavis Abbey relative to Murray W. Huff Canada Murray W. Huff's profile →
Citations per field
00.5×1.5×2.0×
Murray W. Huff · 1×
Citations per year

Countries citing papers authored by Mavis Abbey

Since Specialization
Citations

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

Fields of papers citing papers by Mavis Abbey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 49 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997359
2 1992312
3 2002224
4 1997216
5 1994214
6 1995160
7 1997154
8 1993154
9 1997151
10 1990142
11 1993138
12 2001132
13 2006129
14 1998114
15 1996111
16 1994103
17 199185
18 199979
19 199365
20 199463

About Mavis Abbey

Mavis Abbey is a scholar working on Nutrition and Dietetics, Surgery, Biochemistry, Pathology and Forensic Medicine and Endocrinology, Diabetes and Metabolism, having authored 49 papers that have together received 3.8k indexed citations. Recurring topics across this work include Fatty Acid Research and Health (16 papers), Cholesterol and Lipid Metabolism (14 papers), Antioxidant Activity and Oxidative Stress (12 papers), Diet, Metabolism, and Disease (5 papers), Vitamin C and Antioxidants Research (4 papers), Diet and metabolism studies (4 papers), Cancer, Lipids, and Metabolism (4 papers) and Peroxisome Proliferator-Activated Receptors (4 papers). The work is most often cited by research in Biochemistry (731 citations), Nutrition and Dietetics (1.7k citations), Biochemistry (422 citations), Endocrinology, Diabetes and Metabolism (732 citations) and Pathology and Forensic Medicine (643 citations). Mavis Abbey has collaborated with scholars based in Australia, France and United Kingdom. Frequent co-authors include Paul J. Nestel, Nicole Kerry, Manny Noakes, Peter Clifton, Sylvia Pomeroy, GB Belling, Paul D. Roach, Alice Owen, M. Cehun and Takayuki Sasahara. Their work appears in journals such as Atherosclerosis, American Journal of Clinical Nutrition, Arteriosclerosis Thrombosis and Vascular Biology, Maturitas 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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