Jacquie Rand
- Genetics top 1%
- Small Animals top 0.2%
- Endocrinology, Diabetes and Metabolism top 5%
- Physiology top 10%
- Surgery top 10%
- Co-authors
- John M. MortonL. M. FleemanKirsten RoompH. A. FarrowR. LedererD. J. AppletonR. MarshallJean H. Priest
- Topics
- Diabetes and associated disorders (41 papers)Human-Animal Interaction Studies (33 papers)Veterinary Medicine and Surgery (27 papers)
- Cited by
- Small AnimalsEquineGenetics
- Partner nations
- AustraliaUnited StatesLuxembourg
In The Last Decade
Jacquie Rand
98 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 115
- Genetics 1.3k
- Small Animals 956
- Endocrinology, Diabetes and Metabolism 430
- Physiology 357
- Surgery 326
Countries citing papers authored by Jacquie Rand
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 2 | |
| 3 | 5 | |
| 4 | 17 | |
| 5 | 4 | |
| 6 | 5 | |
| 7 | 12 | |
| 8 | 9 | |
| 9 | 58 | |
| 10 | 5 | |
| 11 | 18 | |
| 12 | Prediction of body composition in dogs by bioimpedance spectroscopy | 1 |
| 13 | 23 | |
| 14 | 10 | |
| 15 | 10 | |
| 16 | Guinea pigs as classroom pets | 1 |
| 17 | Plant-based fibers result in reduced energy intake in the first meal for dogs fed twice daily | 1 |
| 18 | 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 | 2 |
| 19 | Pancreatic histopathology of diabetic Burmese and non-Burmese cats | 4 |
| 20 | Chronic or recurring medical problems, dental disease, repeated corticosteroid treatment, and lower physical activity are associated with diabetes in Burmese cats | 11 |
About Jacquie Rand
Jacquie Rand is a scholar working on Small Animals, Virology and Genetics, having authored 99 papers that have together received 2.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (41 papers), Human-Animal Interaction Studies (33 papers) and Veterinary Medicine and Surgery (27 papers). The work is most often cited by research in Small Animals (956 citations), Equine (206 citations) and Genetics (1.3k citations). Jacquie Rand has collaborated with scholars based in Australia, United States and Luxembourg. Frequent 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. Their work appears in journals such as Journal of Nutrition, British Journal Of Nutrition and General and Comparative Endocrinology.
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.