J. S. Rand

57 papers receiving 1.2k citations

Peers

J. S. Rand
Comparison fields: 5 of 103
  • Equine 116
  • Small Animals 478
  • Endocrine and Autonomic Systems 156
  • Endocrinology, Diabetes and Metabolism 300
  • Genetics 485
Replace L. M. Fleeman with:
L. M. Fleeman Australia
Robert J. Washabau United States
Richard F. Butterwick United Kingdom
R. S. Comline United Kingdom
Dennis F. Lawler United States
G. D. Bottoms United States
Kathryn E. Michel United States
N. Sydney Möise United States
Shelley L. Holden United Kingdom
Paul D. Pion United States
J. S. Rand relative to L. M. Fleeman Australia L. M. Fleeman's profile →
Citations per field
00.5×1.5×1.8×
L. M. Fleeman · 1×
Citations per year

Countries citing papers authored by J. S. Rand

Since Specialization
Citations

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

Fields of papers citing papers by J. S. Rand

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 63 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2002161
2 2002158
3 200069
4 200962
5 199552
6 201150
7 200145
8 199943
9
Clinical, cerebrospinal fluid, and histological data from thirty-four cats with primary noninflammatory disease of the central nervous system.
199442
10 201636
11 199834
12 201132
13 199330
14 199324
15 198923
16 199022
17 199322
18 199721
19 201320
20 201419

About J. S. Rand

J. S. Rand is a scholar working on Genetics, Small Animals, Endocrinology, Diabetes and Metabolism, Physiology and Surgery, having authored 63 papers that have together received 1.2k indexed citations. Recurring topics across this work include Diabetes and associated disorders (27 papers), Veterinary Medicine and Surgery (16 papers), Pancreatic function and diabetes (12 papers), Diet and metabolism studies (11 papers), Adipose Tissue and Metabolism (10 papers), Hyperglycemia and glycemic control in critically ill and hospitalized patients (9 papers), Regulation of Appetite and Obesity (9 papers) and Metabolism, Diabetes, and Cancer (7 papers). The work is most often cited by research in Equine (116 citations), Small Animals (478 citations), Endocrine and Autonomic Systems (156 citations), Endocrinology, Diabetes and Metabolism (300 citations) and Genetics (485 citations). J. S. Rand has collaborated with scholars based in Australia, Canada and United States. Frequent co-authors include Thomas A. Lutz, A. J. Baglioni, John M. Morton, D. J. Appleton, R. Marshall, L. M. Fleeman, Robert M. J. Jacobs, D. H. Percy, Katsumi Ishioka and Gregory D. Sunvold. Their work appears in journals such as Journal of Veterinary Internal Medicine, Journal of Feline Medicine and Surgery, Domestic Animal Endocrinology, American Journal of Veterinary Research and Research in Veterinary Science.

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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