D. Wayne Kellogg

1.3k citations
74 papers · 945 · h-index 17

Impact in

Papers in

D. Wayne Kellogg

71 papers receiving 828 citations

Peers

D. Wayne Kellogg
Comparison fields: 5 of 89
  • Agronomy and Crop Science 609
  • Animal Science and Zoology 228
  • Small Animals 129
  • Forestry 58
  • Environmental Chemistry 129
Replace M. G. Porter with:
M. G. Porter United Kingdom
A. M. Feyerherm United States
A. M. Bryant New Zealand
Sarah E. Hook Canada
Clay P. Mathis United States
David Lalman United States
A.R. Castillo United States
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L.J. Erasmus South Africa
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Citations per field
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Citations per year

Countries citing papers authored by D. Wayne Kellogg

Since Specialization
Citations

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

Fields of papers citing papers by D. Wayne Kellogg

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 74 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000124
2 200483
3 199568
4 200467
5 200042
6 197737
7 200135
8
Zinc methionine affects performance of lactating cows.
199029
9 200227
10 196926
11 200026
12 200325
13 196921
14 200221
15 196718
16 200518
17
Efficacy of mannan oligosaccharide (Bio-Mos®) addition at two levels of supplemental copper on performance and immunocompetence of early weaned pigs.
200017
18 200116
19 200515
20 200215

About D. Wayne Kellogg

D. Wayne Kellogg is a scholar working on Agronomy and Crop Science, Environmental Chemistry, Animal Science and Zoology, Small Animals and Soil Science, having authored 74 papers that have together received 945 indexed citations. Recurring topics across this work include Ruminant Nutrition and Digestive Physiology (44 papers), Turfgrass Adaptation and Management (16 papers), Genetic and phenotypic traits in livestock (13 papers), Reproductive Physiology in Livestock (13 papers), Plant and fungal interactions (8 papers), Animal Nutrition and Physiology (7 papers), Animal Behavior and Welfare Studies (6 papers) and Effects of Environmental Stressors on Livestock (6 papers). The work is most often cited by research in Agronomy and Crop Science (609 citations), Animal Science and Zoology (228 citations), Small Animals (129 citations), Forestry (58 citations) and Environmental Chemistry (129 citations). D. Wayne Kellogg has collaborated with scholars based in United States, Guatemala and Tanzania. Frequent co-authors include John M. Charnes, Zelpha B. Johnson, Wayne K. Coblentz, James Edward Turner, J.A. Pennington, Dean A. Scarbrough, Mike T. Socha, F.G. Owen, Dana J. Tomlinson and A. Bruce Johnson. Their work appears in journals such as Journal of Dairy Science, Animal Feed Science and Technology, Agronomy Journal, Journal of Animal Science and Journal of Applied Animal Research.

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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