D. A. Yates

1.5k citations
42 papers · 1.2k indexed · h-index 22

Impact in

    • Pharmacological Effects and Assays
    • Meat and Animal Product Quality
    • Animal Nutrition and Physiology
    • Veterinary Pharmacology and Anesthesia

Papers in

D. A. Yates

42 papers receiving 1.1k citations

Peers

D. A. Yates
Comparison fields: 5 of 51
  • Animal Science and Zoology 1.1k
  • Small Animals 342
  • Food Science 507
  • Agronomy and Crop Science 91
  • Endocrinology, Diabetes and Metabolism 64
Replace W. T. Nichols with:
W. T. Nichols United States
A. M. Stelzleni United States
J. P. Hutcheson United States
A. M. Gaines United States
M.J. Van Oeckel Belgium
E. R. Wilson United States
K. R. United States
M. Le Denmat France
Cara I. Robison United States
Dalton de Oliveira Fontes Brazil
D. A. Yates relative to W. T. Nichols United States W. T. Nichols's profile →
Citations per field
00.5×1.5×
W. T. Nichols · 1×
Citations per year

Countries citing papers authored by D. A. Yates

Since Specialization
Citations

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

Fields of papers citing papers by D. A. Yates

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by D. A. Yates. 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 D. A. Yates. The network helps show where D. A. Yates may publish in the future.

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20232
2 201122
3 201120
4 201031
5 201022
6 201011
7 201020
8 201019
9 200942
10 200914
11 20097
12 200923
13 200955
14 200926
15 200976
16 200923
17 200887
18 200733
19 200763
20
Effect of contimuous grazing on the diet of steers Forage availability.
19821

About D. A. Yates

D. A. Yates is a scholar working on Animal Science and Zoology, Small Animals, Food Science, Aging and Parasitology, having authored 42 papers that have together received 1.2k indexed citations. Recurring topics across this work include Pharmacological Effects and Assays (35 papers), Pesticide Residue Analysis and Safety (26 papers), Meat and Animal Product Quality (26 papers), Veterinary Pharmacology and Anesthesia (14 papers), Parasite Biology and Host Interactions (4 papers), Parasitic Diseases Research and Treatment (3 papers), Extracellular vesicles in disease (2 papers) and Genetic and phenotypic traits in livestock (2 papers). The work is most often cited by research in Animal Science and Zoology (1.1k citations), Small Animals (342 citations), Food Science (507 citations), Agronomy and Crop Science (91 citations) and Endocrinology, Diabetes and Metabolism (64 citations). D. A. Yates has collaborated with scholars based in United States, Vietnam and Cameroon. Frequent co-authors include M. N. Streeter, J. P. Hutcheson, W. T. Nichols, J.C. Brooks, B. J. Johnson, G. G. Hilton, J. L. Montgomery, T.E. Lawrence, R. S. Swingle and J. P. Hutcheson. Their work appears in journals such as Journal of Animal Science, PLoS neglected tropical diseases, Scientific Reports, Meat Science and Livestock 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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