Donna F. Vine

2.8k total citations
75 papers, 2.2k citations indexed

About

Donna F. Vine is a scholar working on Endocrinology, Diabetes and Metabolism, Surgery and Physiology. According to data from OpenAlex, Donna F. Vine has authored 75 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Endocrinology, Diabetes and Metabolism, 22 papers in Surgery and 20 papers in Physiology. Recurrent topics in Donna F. Vine's work include Ovarian function and disorders (15 papers), Lipid metabolism and disorders (12 papers) and Fatty Acid Research and Health (11 papers). Donna F. Vine is often cited by papers focused on Ovarian function and disorders (15 papers), Lipid metabolism and disorders (12 papers) and Fatty Acid Research and Health (11 papers). Donna F. Vine collaborates with scholars based in Canada, Australia and United States. Donna F. Vine's co-authors include Spencer D. Proctor, Catherine J. Field, John Mamo, Danni Shi, Heather Blewett, Megan R. Ruth, Lawrence J. Beilin, Martin J. T. Reaney, Kevin D. Croft and David R. Glimm and has published in prestigious journals such as The Journal of Clinical Endocrinology & Metabolism, The FASEB Journal and Journal of Applied Physiology.

In The Last Decade

Donna F. Vine

73 papers receiving 2.2k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Donna F. Vine Canada 28 566 565 549 462 438 75 2.2k
Yang Song China 25 355 0.6× 304 0.5× 389 0.7× 742 1.6× 454 1.0× 68 2.3k
Chang Ling Sia United States 20 420 0.7× 192 0.3× 215 0.4× 670 1.5× 621 1.4× 28 2.2k
Sanaa Abuaysheh United States 21 857 1.5× 200 0.4× 321 0.6× 639 1.4× 759 1.7× 37 2.5k
Yehuda Kamari Israel 24 442 0.8× 162 0.3× 342 0.6× 593 1.3× 324 0.7× 58 2.0k
Nishan S. Kalupahana Sri Lanka 27 463 0.8× 864 1.5× 231 0.4× 575 1.2× 1.2k 2.8× 69 3.0k
Martin Osterhoff Germany 26 759 1.3× 298 0.5× 302 0.6× 609 1.3× 755 1.7× 59 2.2k
Bodil Bjørndal Norway 24 183 0.3× 438 0.8× 222 0.4× 964 2.1× 805 1.8× 77 2.1k
Heidar Tavilani Iran 28 319 0.6× 192 0.3× 143 0.3× 405 0.9× 169 0.4× 98 2.0k
Annie Quignard‐Boulangé France 24 606 1.1× 497 0.9× 221 0.4× 397 0.9× 950 2.2× 37 2.3k
Valérie Deckert France 30 548 1.0× 228 0.4× 914 1.7× 885 1.9× 369 0.8× 67 2.5k

Countries citing papers authored by Donna F. Vine

Since Specialization
Citations

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

Fields of papers citing papers by Donna F. Vine

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Donna F. Vine. 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 Donna F. Vine. The network helps show where Donna F. Vine may publish in the future.

Co-authorship network of co-authors of Donna F. Vine

This figure shows the co-authorship network connecting the top 25 collaborators of Donna F. Vine. A scholar is included among the top collaborators of Donna F. Vine based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Donna F. Vine. Donna F. Vine is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
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Tibães, Jenneffer Rayane Braga, et al.. (2023). Sex differences in systemic inflammation and immune function in diet‐induced obesity rodent models: A systematic review. Obesity Reviews. 25(3). e13665–e13665. 11 indexed citations
4.
Sydora, Beate C., et al.. (2023). Challenges in diagnosis and health care in polycystic ovary syndrome in Canada: a patient view to improve health care. BMC Women s Health. 23(1). 569–569. 28 indexed citations
5.
Vine, Donna F., Lawrence J. Beilin, Sally Burrows, et al.. (2020). ApoB48-Lipoproteins Are Associated with Cardiometabolic Risk in Adolescents with and without Polycystic Ovary Syndrome. Journal of the Endocrine Society. 4(8). bvaa061–bvaa061. 12 indexed citations
6.
Vine, Donna F., Lawrence J. Beilin, Sally Burrows, et al.. (2020). ApoB48-remnant lipoproteins are associated with increased cardiometabolic risk in adolescents. Atherosclerosis. 302. 20–26. 15 indexed citations
7.
Diané, Abdoulaye, Faye Borthwick, Jeanette Lee, et al.. (2016). Hypolipidemic and cardioprotective benefits of a novel fireberry hawthorn fruit extract in the JCR:LA-cp rodent model of dyslipidemia and cardiac dysfunction. Food & Function. 7(9). 3943–3952. 23 indexed citations
8.
Diané, Abdoulaye, W. David Pierce, Sandra Kelly, et al.. (2016). Mechanisms of Comorbidities Associated With the Metabolic Syndrome: Insights from the JCR:LA-cp Corpulent Rat Strain. Frontiers in Nutrition. 3. 44–44. 13 indexed citations
9.
Silva, Robin P. da, Karen Kelly, Erin D. Lewis, et al.. (2015). Choline deficiency impairs intestinal lipid metabolism in the lactating rat. The Journal of Nutritional Biochemistry. 26(10). 1077–1083. 39 indexed citations
10.
Mangat, Rabban, et al.. (2015). Niacin modulates the secretion of intestinal lymphatic HDL and associated micro RNA profile in a rat model of insulin resistance. Atherosclerosis. 241(1). e32–e33. 1 indexed citations
11.
Borthwick, Faye, Rabban Mangat, Samantha Warnakula, et al.. (2013). Simvastatin treatment upregulates intestinal lipid secretion pathways in a rodent model of the metabolic syndrome. Atherosclerosis. 232(1). 141–148. 17 indexed citations
12.
Mager, Diana R., Vera C. Mazurak, Donna F. Vine, et al.. (2012). A Meal High in Saturated Fat Evokes Postprandial Dyslipemia, Hyperinsulinemia, and Altered Lipoprotein Expression in Obese Children With and Without Nonalcoholic Fatty Liver Disease. Journal of Parenteral and Enteral Nutrition. 37(4). 517–528. 26 indexed citations
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Ametaj, Burim N., et al.. (2009). Dietary supplementation of n‐3 PUFA reduces weight gain and improves postprandial lipaemia and the associated inflammatory response in the obese JCR:LA‐cp rat. Diabetes Obesity and Metabolism. 12(2). 139–147. 58 indexed citations
15.
Wang, Ye, M. Miriam Jacome‐Sosa, Megan R. Ruth, et al.. (2009). Trans-11 Vaccenic Acid Reduces Hepatic Lipogenesis and Chylomicron Secretion in JCR:LA-cp Rats. Journal of Nutrition. 139(11). 2049–2054. 56 indexed citations
16.
Wang, Ye, Jing Lü, Megan R. Ruth, et al.. (2008). Trans-11 Vaccenic Acid Dietary Supplementation Induces Hypolipidemic Effects in JCR:LA-cp Rats. Journal of Nutrition. 138(11). 2117–2122. 148 indexed citations
17.
Proctor, Spencer D., Donna F. Vine, & John Mamo. (2004). Arterial Permeability and Efflux of Apolipoprotein B–Containing Lipoproteins Assessed by In Situ Perfusion and Three-Dimensional Quantitative Confocal Microscopy. Arteriosclerosis Thrombosis and Vascular Biology. 24(11). 2162–2167. 81 indexed citations
18.
Proctor, Spencer D., Donna F. Vine, & John Mamo. (2002). Arterial retention of apolipoprotein B48- and B100-containing lipoproteins in atherogenesis. Current Opinion in Lipidology. 13(5). 461–470. 163 indexed citations
19.
Vine, Donna F., John Mamo, Lawrence J. Beilin, Trevor A. Mori, & Kevin D. Croft. (1998). Dietary oxysterols are incorporated in plasma triglyceriderich lipoproteins, increase their susceptibility to oxidation and increase aortic cholesterol concentration of rabbits. Journal of Lipid Research. 39(10). 1995–2004. 67 indexed citations
20.
Mamo, John, et al.. (1997). IS ATHEROSCLEROSIS EXCLUSIVELY A POSTPRANDIAL PHENOMENON?. Clinical and Experimental Pharmacology and Physiology. 24(3-4). 288–293. 24 indexed citations

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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