D. W. Moser

743 total citations
28 papers, 499 citations indexed

About

D. W. Moser is a scholar working on Genetics, Animal Science and Zoology and Small Animals. According to data from OpenAlex, D. W. Moser has authored 28 papers receiving a total of 499 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Genetics, 12 papers in Animal Science and Zoology and 5 papers in Small Animals. Recurrent topics in D. W. Moser's work include Genetic and phenotypic traits in livestock (24 papers), Effects of Environmental Stressors on Livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). D. W. Moser is often cited by papers focused on Genetic and phenotypic traits in livestock (24 papers), Effects of Environmental Stressors on Livestock (7 papers) and Genetic Mapping and Diversity in Plants and Animals (7 papers). D. W. Moser collaborates with scholars based in United States, South Africa and Uruguay. D. W. Moser's co-authors include J. K. Bertrand, I. Misztal, L. L. Benyshek, Jennifer M Bormann, L A Kriese, Yutaka Masuda, Daniela Lourenço, S. Tsuruta, William O. Herring and Ignácio Aguilar and has published in prestigious journals such as Journal of Animal Science, The Professional Animal Scientist and Compendium on Continuing Education for The Practicing Veterinarian.

In The Last Decade

D. W. Moser

28 papers receiving 471 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
D. W. Moser United States 10 411 242 134 89 54 28 499
S. L. Northcutt United States 8 318 0.8× 226 0.9× 120 0.9× 67 0.8× 64 1.2× 11 423
M.A. Snyman South Africa 14 500 1.2× 141 0.6× 313 2.3× 62 0.7× 78 1.4× 30 556
Luiz Antônio Framartino Bezerra Brazil 15 540 1.3× 213 0.9× 192 1.4× 178 2.0× 57 1.1× 45 558
Mehdi Bohlouli Germany 11 232 0.6× 158 0.7× 117 0.9× 36 0.4× 55 1.0× 31 301
S. Alijani Iran 13 284 0.7× 246 1.0× 152 1.1× 96 1.1× 34 0.6× 80 519
R. Irgang Brazil 9 481 1.2× 143 0.6× 99 0.7× 66 0.7× 86 1.6× 21 558
М. Г. Смарагдов Russia 7 288 0.7× 99 0.4× 79 0.6× 66 0.7× 18 0.3× 29 347
S. Mc Parland Ireland 5 371 0.9× 63 0.3× 182 1.4× 71 0.8× 17 0.3× 11 422
I.M. Andersen-Ranberg Norway 11 288 0.7× 113 0.5× 198 1.5× 37 0.4× 103 1.9× 24 388
Radovan Kasarda Slovakia 10 514 1.3× 181 0.7× 130 1.0× 75 0.8× 24 0.4× 123 613

Countries citing papers authored by D. W. Moser

Since Specialization
Citations

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

Fields of papers citing papers by D. W. Moser

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of D. W. Moser

This figure shows the co-authorship network connecting the top 25 collaborators of D. W. Moser. A scholar is included among the top collaborators of D. W. Moser 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. W. Moser. D. W. Moser 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
1.
Moser, D. W., et al.. (2019). 52 Genomic selection in the beef industry: Current achievements and future directions. Journal of Animal Science. 97(Supplement_3). 54–55. 3 indexed citations
2.
Thallman, R. M., L. A. Kuehn, W. M. Snelling, et al.. (2018). Reducing the period of data collection for intake and gain to improve response to selection for feed efficiency in beef cattle. Journal of Animal Science. 96(3). 854–866. 9 indexed citations
3.
Lourenço, Daniela, S. Tsuruta, Breno Fragomeni, et al.. (2016). 0303 Issues in commercial application of single-step genomic BLUP for genetic evaluation in American Angus. Journal of Animal Science. 94(suppl_5). 144–145. 2 indexed citations
4.
Bormann, Jennifer M, Robert L Weaber, M. D. MacNeil, et al.. (2015). Genetic Variance and Covariance Components for Feed Intake, Average Daily Gain, and Postweaning Gain in Growing Beef Cattle. Kansas Agricultural Experiment Station Research Reports. 1(1). 2 indexed citations
5.
Lourenço, Daniela, S. Tsuruta, Breno Fragomeni, et al.. (2015). Genetic evaluation using single-step genomic best linear unbiased predictor in American Angus1. Journal of Animal Science. 93(6). 2653–2662. 130 indexed citations
6.
Moser, D. W., et al.. (2015). Estimation of genetic parameters for udder traits in Hereford cattle123. Journal of Animal Science. 93(6). 2663–2668. 13 indexed citations
7.
White, Kari, Jennifer M Bormann, K. C. Olson, et al.. (2015). Phenotypic relationships between docility and reproduction in Angus heifers1. Journal of Animal Science. 94(2). 483–489. 3 indexed citations
8.
Weaber, Robert L, Jennifer M Bormann, D. W. Moser, et al.. (2014). Temperament can be an indicator of feedlot performance and carcass merit in beef cattle. Kansas Agricultural Experiment Station Research Reports. 34–38. 9 indexed citations
9.
Garmyn, A. J., et al.. (2010). Estimation of genetic parameters and effects of cytoplasmic line on scrotal circumference and semen quality traits in Angus bulls. Journal of Animal Science. 89(3). 693–698. 25 indexed citations
10.
Bormann, Jennifer M, D. W. Moser, & T.T. Marston. (2010). CASE STUDY: Feed Intake and Performance of Heifers Sired by High- or Low-Residual Feed Intake Angus Bulls. The Professional Animal Scientist. 26(3). 328–331. 3 indexed citations
11.
Weaber, Robert L, E. J. Pollak, Dorian J. Garrick, et al.. (2006). From research to application: a model for educating beef producers in animal breeding technologies.. Proceedings of the 8th World Congress on Genetics Applied to Livestock Production, Belo Horizonte, Minas Gerais, Brazil, 13-18 August, 2006. 1 indexed citations
13.
Moser, D. W., et al.. (2004). Relationships Between Charolais Sire Expected Progeny Differences and Progeny Performance in Commercial Beef Herds. The Professional Animal Scientist. 20(6). 503–505. 3 indexed citations
14.
Dikeman, Michael E., et al.. (2003). Warner-Bratzler shear force values and ranges of steaks from cattle of known sires. Kansas Agricultural Experiment Station Research Reports. 24–28. 1 indexed citations
15.
Spire, M.F., et al.. (2001). Genetic relationships among breeding soundness traits in yearling bulls. Kansas Agricultural Experiment Station Research Reports. 1–3. 4 indexed citations
16.
Pollak, E. J., et al.. (2001). Carcass merit project: development of EPDS and genetic marker validation. Kansas Agricultural Experiment Station Research Reports. 4–6. 1 indexed citations
17.
Bertrand, J. K., et al.. (2001). Genetic evaluation for beef carcass traits. Journal of Animal Science. 79(E-Suppl). E190–E190. 40 indexed citations
18.
Moser, D. W., et al.. (1998). Replacement heifer development: selection. Compendium on Continuing Education for The Practicing Veterinarian. 1 indexed citations
19.
Moser, D. W., J. K. Bertrand, I. Misztal, L A Kriese, & L. L. Benyshek. (1998). Genetic parameter estimates for carcass and yearling ultrasound measurements in Brangus cattle.. Journal of Animal Science. 76(10). 2542–2542. 78 indexed citations
20.
Moser, D. W., J. K. Bertrand, L. L. Benyshek, Mark A. McCann, & T. E. Kiser. (1996). Effects of selection for scrotal circumference in Limousin bulls on reproductive and growth traits of progeny.. Journal of Animal Science. 74(9). 2052–2052. 32 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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