I. W. Caple

1.4k citations
43 papers · 977 indexed · h-index 19

Impact in

Papers in

I. W. Caple

42 papers receiving 867 citations

Peers

I. W. Caple
Comparison fields: 5 of 96
  • Equine 38
  • Nephrology 146
  • Small Animals 99
  • Oncology 325
  • Agronomy and Crop Science 115
Replace Larry A. Nagode with:
Larry A. Nagode United States
Yoshihisa NAITO Japan
Mirja R. Wilkens Germany
H. Becker Germany
Valerie J. Parker United States
Yoshiharu Hashimoto Japan
B. F. Sansom United States
Alan H. Rebar United States
M.J. Tarr United States
Thomas G. Bell United States
I. W. Caple relative to Larry A. Nagode United States Larry A. Nagode's profile →
Citations per field
00.5×4.3×
Larry A. Nagode · 1×
Citations per year

Countries citing papers authored by I. W. Caple

Since Specialization
Citations

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

Fields of papers citing papers by I. W. Caple

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by I. W. Caple. 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 I. W. Caple. The network helps show where I. W. Caple may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20085
2
Tc-99m Tin fluoride colloid: Efficiency of labelling equine and canine leucocytes and effect on cell viability
20062
3 199131
4 199050
5 198976
6
Solutions to suboptimal performance in livestock in the field.
19891
7 198930
8 198911
9 198824
10 198818
11 1988214
12 198018
13 197810
14 197710
15 19762
16 197624
17 197313
18 197218
19
Regulation of output of electrolytes in bile and pancreatic juice in sheep.
197216
20 19712

About I. W. Caple

I. W. Caple is a scholar working on Equine, Agronomy and Crop Science, Nephrology, Animal Science and Zoology and Small Animals, having authored 43 papers that have together received 977 indexed citations. Recurring topics across this work include Bone health and treatments (6 papers), Drug Transport and Resistance Mechanisms (6 papers), Parathyroid Disorders and Treatments (5 papers), Genetic Syndromes and Imprinting (4 papers), Viral gastroenteritis research and epidemiology (4 papers), Ruminant Nutrition and Digestive Physiology (4 papers), Drug-Induced Hepatotoxicity and Protection (4 papers) and Pregnancy and preeclampsia studies (3 papers). The work is most often cited by research in Equine (38 citations), Nephrology (146 citations), Small Animals (99 citations), Oncology (325 citations) and Agronomy and Crop Science (115 citations). I. W. Caple has collaborated with scholars based in Australia, United Kingdom and Malaysia. Frequent co-authors include A. D. Care, Christine Rodda, John A. Heath, T. John Martin, J. M. Moseley, Peter R. Ebeling, Trevor J Heath, Masaru Kubota, S.K. Abbas and D. W. Pickard. Their work appears in journals such as Australian Veterinary Journal, Research in Veterinary Science, Endocrinology, Journal of Endocrinology and Journal of Comparative Pathology.

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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