Jacquie Rand

3.1k total citations
99 papers, 2.2k citations indexed

About

Jacquie Rand is a scholar working on Genetics, Small Animals and Physiology. According to data from OpenAlex, Jacquie Rand has authored 99 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Genetics, 35 papers in Small Animals and 26 papers in Physiology. Recurrent topics in Jacquie Rand's work include Diabetes and associated disorders (41 papers), Human-Animal Interaction Studies (33 papers) and Veterinary Medicine and Surgery (27 papers). Jacquie Rand is often cited by papers focused on Diabetes and associated disorders (41 papers), Human-Animal Interaction Studies (33 papers) and Veterinary Medicine and Surgery (27 papers). Jacquie Rand collaborates with scholars based in Australia, United States and Luxembourg. Jacquie Rand's co-authors include John M. Morton, L. M. Fleeman, Kirsten Roomp, H. A. Farrow, R. Lederer, D. J. Appleton, R. Marshall, Jean H. Priest, Mandy Paterson and Helen A. Swarbrick and has published in prestigious journals such as Journal of Nutrition, British Journal Of Nutrition and General and Comparative Endocrinology.

In The Last Decade

Jacquie Rand

98 papers receiving 2.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jacquie Rand Australia 28 1.3k 956 430 357 326 99 2.2k
Danièlle Gunn‐Moore United Kingdom 34 987 0.7× 1.6k 1.7× 194 0.5× 249 0.7× 563 1.7× 191 4.1k
Cynthia M. Otto United States 31 737 0.5× 613 0.6× 70 0.2× 242 0.7× 516 1.6× 131 3.1k
Susan Hazel Australia 26 756 0.6× 455 0.5× 95 0.2× 77 0.2× 196 0.6× 113 1.8k
Rowena M. A. Packer United Kingdom 28 1.1k 0.8× 818 0.9× 21 0.0× 192 0.5× 218 0.7× 89 2.3k
Bonnie V. Beaver United States 19 772 0.6× 678 0.7× 51 0.1× 58 0.2× 115 0.4× 60 2.0k
Ilona Rodan United States 20 686 0.5× 745 0.8× 77 0.2× 86 0.2× 84 0.3× 29 1.3k
Jane Murray United Kingdom 23 708 0.5× 527 0.6× 29 0.1× 107 0.3× 107 0.3× 67 1.5k
Gary England United Kingdom 39 1.3k 0.9× 2.6k 2.7× 105 0.2× 57 0.2× 470 1.4× 225 5.4k
Jodi L. Westropp United States 29 548 0.4× 1.5k 1.6× 45 0.1× 85 0.2× 143 0.4× 72 2.4k
Margaret V. Root Kustritz United States 23 506 0.4× 1.2k 1.2× 103 0.2× 34 0.1× 196 0.6× 77 2.1k

Countries citing papers authored by Jacquie Rand

Since Specialization
Citations

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

Fields of papers citing papers by Jacquie Rand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jacquie Rand

This figure shows the co-authorship network connecting the top 25 collaborators of Jacquie Rand. A scholar is included among the top collaborators of Jacquie Rand 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 Jacquie Rand. Jacquie Rand 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
2.
Rand, Jacquie, et al.. (2024). Frequency of diabetic remission, predictors of remission and survival in cats using a low-cost, moderate-intensity, home-monitoring protocol and twice-daily glargine. Journal of Feline Medicine and Surgery. 26(4). 1098612X241232546–1098612X241232546. 2 indexed citations
3.
Rand, Jacquie, et al.. (2024). Impact of a Local Government Funded Free Cat Sterilization Program for Owned and Semi-Owned Cats. Animals. 14(11). 1615–1615. 5 indexed citations
5.
Franklin, Michael E., Jacquie Rand, Linda C. Marston, & John M. Morton. (2021). Do Pet Cats Deserve the Disproportionate Blame for Wildlife Predation Compared to Pet Dogs?. Frontiers in Veterinary Science. 8. 731689–731689. 4 indexed citations
6.
Balmer, Lois, Caroline A. O’Leary, Marilyn Menotti‐Raymond, et al.. (2020). Mapping of Diabetes Susceptibility Loci in a Domestic Cat Breed with an Unusually High Incidence of Diabetes Mellitus. Genes. 11(11). 1369–1369. 5 indexed citations
7.
Rand, Jacquie, Stephen Anderson, John M. Morton, et al.. (2020). Metabolic Profiling of Diabetic Cats in Remission. Frontiers in Veterinary Science. 7. 218–218. 12 indexed citations
8.
Zito, Sarah, Mandy Paterson, John M. Morton, et al.. (2018). Surrenderers’ Relationships with Cats Admitted to Four Australian Animal Shelters. Animals. 8(2). 23–23. 9 indexed citations
9.
McGreevy, Paul, Peter C. Thomson, Navneet K. Dhand, et al.. (2017). VetCompass Australia: A National Big Data Collection System for Veterinary Science. Animals. 7(10). 74–74. 58 indexed citations
10.
Vankan, D., et al.. (2016). Measuring body composition in dogs using multifrequency bioelectrical impedance analysis and dual energy X-ray absorptiometry. The Veterinary Journal. 212. 65–70. 5 indexed citations
11.
Zito, Sarah, John M. Morton, Mandy Paterson, et al.. (2016). Cross-Sectional Study of Characteristics of Owners and Nonowners Surrendering Cats to Four Australian Animal Shelters. Journal of Applied Animal Welfare Science. 19(2). 126–143. 18 indexed citations
12.
Ward, Leigh C., et al.. (2012). Prediction of body composition in dogs by bioimpedance spectroscopy. Australasian Medical Journal. 708–708. 1 indexed citations
13.
Fleeman, L. M., et al.. (2012). Association of Postprandial Serum Triglyceride Concentration and Serum Canine Pancreatic Lipase Immunoreactivity in Overweight and Obese Dogs. Journal of Veterinary Internal Medicine. 26(1). 46–53. 23 indexed citations
14.
Rand, Jacquie, et al.. (2012). Domestic dogs (Canis familiaris) and the radial arm maze: Spatial memory and serial position effects.. Journal of comparative psychology. 126(3). 233–242. 10 indexed citations
15.
Rand, Jacquie, et al.. (2011). Use of a meal challenge test to estimate peak postprandial triglyceride concentrations in dogs. American Journal of Veterinary Research. 72(2). 161–168. 10 indexed citations
16.
O’Haire, Marguerite E., Jacquie Rand, Samantha J. McKenzie, & Virginia Slaughter. (2010). Guinea pigs as classroom pets. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
17.
Rand, Jacquie, et al.. (2006). Plant-based fibers result in reduced energy intake in the first meal for dogs fed twice daily. Queensland's institutional digital repository (The University of Queensland). 1 indexed citations
18.
Fleeman, L. M., Jacquie Rand, & Peter J. Markwell. (2004). Diets with high fiber and moderate starch are not advantageous for dogs with stabilized diabetes compared to a commercial diet with moderate fiber and low starch. Queensland's institutional digital repository (The University of Queensland). 2 indexed citations
19.
Lederer, R., et al.. (2004). Pancreatic histopathology of diabetic Burmese and non-Burmese cats. Queensland's institutional digital repository (The University of Queensland). 4 indexed citations
20.
Lederer, R., Jacquie Rand, Ian Hughes, & L. M. Fleeman. (2003). Chronic or recurring medical problems, dental disease, repeated corticosteroid treatment, and lower physical activity are associated with diabetes in Burmese cats. Obstetrics and Gynecology Clinics of North America. 17(2). 1000–1000. 11 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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