D. J. Gibb

2.4k total citations · 1 hit paper
42 papers, 1.9k citations indexed

About

D. J. Gibb is a scholar working on Agronomy and Crop Science, Animal Science and Zoology and Genetics. According to data from OpenAlex, D. J. Gibb has authored 42 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Agronomy and Crop Science, 20 papers in Animal Science and Zoology and 15 papers in Genetics. Recurrent topics in D. J. Gibb's work include Ruminant Nutrition and Digestive Physiology (32 papers), Genetic and phenotypic traits in livestock (14 papers) and Animal Nutrition and Physiology (13 papers). D. J. Gibb is often cited by papers focused on Ruminant Nutrition and Digestive Physiology (32 papers), Genetic and phenotypic traits in livestock (14 papers) and Animal Nutrition and Physiology (13 papers). D. J. Gibb collaborates with scholars based in Canada, United States and Australia. D. J. Gibb's co-authors include Tim A. McAllister, K. S. Schwartzkopf-Genswein, K. A. Beauchemin, Xiying Hao, M. N. Streeter, P. S. Mir, R. D. Wiedmeier, D. H. Crews, M. A. Shah and Terry J. Klopfenstein and has published in prestigious journals such as Journal of Animal Science, Journal of Environmental Quality and Canadian Journal of Soil Science.

In The Last Decade

D. J. Gibb

40 papers receiving 1.7k citations

Hit Papers

Nutrient Requirements of Beef Cattle, 7th ed 1997 2026 2006 2016 1997 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
D. J. Gibb Canada 18 1.4k 707 566 218 210 42 1.9k
M. H. Poore United States 25 1.5k 1.1× 458 0.6× 530 0.9× 167 0.8× 259 1.2× 113 2.1k
J.K. Bernard United States 27 1.5k 1.1× 1.0k 1.5× 536 0.9× 269 1.2× 271 1.3× 131 2.5k
Juha Nousiainen Finland 26 1.9k 1.4× 549 0.8× 880 1.6× 320 1.5× 194 0.9× 77 2.4k
Johan De Boever Belgium 24 1.0k 0.7× 645 0.9× 391 0.7× 221 1.0× 326 1.6× 91 1.7k
G.R. Ghorbani Iran 27 1.9k 1.3× 636 0.9× 632 1.1× 147 0.7× 253 1.2× 144 2.4k
K. A. Beauchemin Canada 17 1.2k 0.9× 401 0.6× 297 0.5× 201 0.9× 212 1.0× 34 1.5k
L. W. Greene United States 28 1.1k 0.8× 695 1.0× 409 0.7× 201 0.9× 237 1.1× 97 2.2k
Sylvie Giger‐Reverdin France 19 951 0.7× 513 0.7× 375 0.7× 266 1.2× 201 1.0× 52 1.7k
C.D. Lu United States 24 1.3k 0.9× 540 0.8× 690 1.2× 218 1.0× 156 0.7× 54 1.9k
N. E. Odongo Canada 28 1.9k 1.4× 738 1.0× 539 1.0× 442 2.0× 318 1.5× 96 2.7k

Countries citing papers authored by D. J. Gibb

Since Specialization
Citations

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

Fields of papers citing papers by D. J. Gibb

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. J. Gibb

This figure shows the co-authorship network connecting the top 25 collaborators of D. J. Gibb. A scholar is included among the top collaborators of D. J. Gibb based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with D. J. Gibb. D. J. Gibb is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Ribeiro, Gabriel O, Stephanie A. Terry, Nilusha Malmuthuge, et al.. (2024). High deoxynivalenol and ergot alkaloid levels in wheat grain: effects on growth performance, carcass traits, rumen fermentation, and blood parameters of feedlot cattle. Mycotoxin Research. 40(3). 401–417. 1 indexed citations
5.
Wang, Y., et al.. (2011). Effects of Moisture and a Saponin-based Surfactant during Barley Processing on Growth Performance and Carcass Quality of Feedlot Steers and on In vitro Ruminal Fermentation. Asian-Australasian Journal of Animal Sciences. 24(12). 1690–1698. 4 indexed citations
6.
McAllister, Tim A., et al.. (2011). Effect of low and high oil corn distillers’ grain on rumen fermentation, growth performance and carcass characteristics of lambs. Animal Production Science. 51(8). 708–716. 4 indexed citations
7.
McAllister, Tim A., D. J. Gibb, Alex V. Chaves, et al.. (2010). Evaluation of triticale dried distillers grains with solubles as a substitute for barley grain and barley silage in feedlot finishing diets1. Journal of Animal Science. 88(9). 3018–3029. 47 indexed citations
8.
Dugan, M.E.R., et al.. (2010). Feeding wheat dried distillers grains with solubles improves beef trans and conjugated linoleic acid profiles1. Journal of Animal Science. 88(5). 1842–1847. 38 indexed citations
9.
Hao, Xiying, et al.. (2009). Effects of Dried Distillers' Grains with Solubles (Wheat‐Based) in Feedlot Cattle Diets on Feces and Manure Composition. Journal of Environmental Quality. 38(4). 1709–1718. 36 indexed citations
10.
Janzen, H. H., Denis A. Angers, Martin A. Bolinder, et al.. (2006). A proposed approach to estimate and reduce net greenhouse gas emissions from whole farms. Canadian Journal of Soil Science. 86(3). 401–418. 89 indexed citations
11.
Gibb, D. J., M. A. Shah, P. S. Mir, & Tim A. McAllister. (2005). Effect of full-fat hemp seed on performance and tissue fatty acids of feedlot cattle. Canadian Journal of Animal Science. 85(2). 223–230. 65 indexed citations
12.
Gibb, D. J., F. N. Owens, P. S. Mir, et al.. (2004). Value of sunflower seed in finishing diets of feedlot cattle12. Journal of Animal Science. 82(9). 2679–2692. 47 indexed citations
13.
Schwartzkopf-Genswein, K. S., K. A. Beauchemin, Tim A. McAllister, et al.. (2004). Effect of feed delivery fluctuations and feeding time on ruminal acidosis, growth performance, and feeding behavior of feedlot cattle1,2. Journal of Animal Science. 82(11). 3357–3365. 76 indexed citations
14.
Schwartzkopf-Genswein, K. S., K. A. Beauchemin, D. J. Gibb, et al.. (2003). Effect of bunk management on feeding behavior, ruminal acidosis and performance of feedlot cattle: A review. Journal of Animal Science. 81. 128 indexed citations
15.
Gibb, D. J., K. S. Schwartzkopf-Genswein, J. M. Stookey, et al.. (2000). Effect of a trainer cow on health, behavior, and performance of newly weaned beef calves.. Journal of Animal Science. 78(7). 1716–1716. 23 indexed citations
16.
Gibb, D. J., et al.. (1998). Bunk attendance of feedlot cattle monitored with radio frequency technology. Canadian Journal of Animal Science. 78(4). 707–710. 50 indexed citations
17.
Gibb, D. J.. (1997). Nutrient Requirements of Beef Cattle, 7th ed. Canadian veterinary journal. 38(10). 662–662. 958 indexed citations breakdown →
18.
Nakamura, Tomohiko, Terry J. Klopfenstein, D. J. Gibb, & Robert A. Britton. (1994). Growth efficiency and digestibility of heated protein fed to growing ruminants. Journal of Animal Science. 72(3). 774–782. 28 indexed citations
19.
Gibb, D. J., Terry J. Klopfenstein, & M. H. Sindt. (1992). Combinations of rendered protein meals for growing calves. Journal of Animal Science. 70(8). 2581–2589. 18 indexed citations
20.
Gibb, D. J., Terry J. Klopfenstein, Robert A. Britton, & A. J. Lewis. (1992). Plasma amino acid response to graded levels of escape protein. Journal of Animal Science. 70(9). 2885–2892. 13 indexed citations

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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