Daniel J. Prendiville

796 citations
22 papers · 665 · h-index 16

Impact in

Papers in

Daniel J. Prendiville

22 papers receiving 631 citations

Peers

Daniel J. Prendiville
Comparison fields: 5 of 69
  • Agronomy and Crop Science 345
  • Small Animals 234
  • Animal Science and Zoology 279
  • Equine 24
  • Genetics 244
Replace D. Cavestany with:
D. Cavestany Uruguay
J. E. Tilton United States
Gy. Huszenicza Hungary
E. J. Turman United States
F. A. Ireland United States
H. H. Meyer United States
J. F. Quirke Ireland
Miguel Ángel Lammoglia-Villagómez Mexico
R.P. Radcliff United States
L. A. Werth United States
Daniel J. Prendiville relative to D. Cavestany Uruguay D. Cavestany's profile →
Citations per field
00.5×1.5×2.3×
D. Cavestany · 1×
Citations per year

Countries citing papers authored by Daniel J. Prendiville

Since Specialization
Citations

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

Fields of papers citing papers by Daniel J. Prendiville

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1995106
2 199262
3 199760
4 199752
5 201145
6 199144
7 201040
8
Radiotelemetry systems for measuring body temperature
200228
9 199023
10 197921
11 199321
12 200120
13 201019
14 201119
15 199518
16 199615
17 199414
18 197813
19 197713
20 199412

About Daniel J. Prendiville

Daniel J. Prendiville is a scholar working on Agronomy and Crop Science, Animal Science and Zoology, Small Animals, Genetics and Endocrinology, Diabetes and Metabolism, having authored 22 papers that have together received 665 indexed citations. Recurring topics across this work include Reproductive Physiology in Livestock (14 papers), Animal Behavior and Welfare Studies (8 papers), Genetic and phenotypic traits in livestock (7 papers), Meat and Animal Product Quality (5 papers), Effects of Environmental Stressors on Livestock (5 papers), Growth Hormone and Insulin-like Growth Factors (4 papers), Viral gastroenteritis research and epidemiology (1 paper) and Animal Genetics and Reproduction (1 paper). The work is most often cited by research in Agronomy and Crop Science (345 citations), Small Animals (234 citations), Animal Science and Zoology (279 citations), Equine (24 citations) and Genetics (244 citations). Daniel J. Prendiville has collaborated with scholars based in Ireland, United States and Italy. Frequent co-authors include W. J. Enright, M.A. Crowe, J Roche, Bernadette Earley, L. J. Spicer, Margaret Murray, Molly Finnerty, Andrew Fisher, Niamh Hynes and David Goulding. Their work appears in journals such as Journal of Animal Science, Theriogenology, BMC Veterinary Research, Animal Science 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.

Explore authors with similar magnitude of impact