P.J. Bowman

5.0k total citations · 2 hit papers
39 papers, 3.5k citations indexed

About

P.J. Bowman is a scholar working on Genetics, Agronomy and Crop Science and Plant Science. According to data from OpenAlex, P.J. Bowman has authored 39 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Genetics, 20 papers in Agronomy and Crop Science and 12 papers in Plant Science. Recurrent topics in P.J. Bowman's work include Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Reproductive Physiology in Livestock (11 papers). P.J. Bowman is often cited by papers focused on Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (17 papers) and Reproductive Physiology in Livestock (11 papers). P.J. Bowman collaborates with scholars based in Australia, United States and New Zealand. P.J. Bowman's co-authors include Michael E. Goddard, Ben J. Hayes, Amanda J. Chamberlain, M. Haile‐Mariam, Brett Mason, Coralie M. Reich, Malena Erbe, Lakshmi K. Matukumalli, Srikanta Goswami and J.E. Pryce and has published in prestigious journals such as Journal of Dairy Science, BMC Genomics and Ecological Modelling.

In The Last Decade

P.J. Bowman

39 papers receiving 3.3k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Invited review: Genomic selection in dairy cattle: Progress and challenges

2009 1.3k citations Ben J. Hayes, P.J. Bowman et al. Journal of Dairy Science profile →
Improving accuracy of genomic predictions within and between dairy cattle breeds with imputed high-density single nucleotide polymorphism panels

2012 474 citations Ben J. Hayes, P.J. Bowman et al. Journal of Dairy Science profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P.J. Bowman Australia	24	3.2k	1.4k	985	459	293	39	3.5k
Daniela Lourenço United States	33	3.0k 1.0×	1.2k 0.8×	606 0.6×	748 1.6×	302 1.0×	217	3.4k
T.J. Lawlor United States	30	3.4k 1.1×	1.0k 0.7×	1.3k 1.4×	1.1k 2.3×	245 0.8×	87	3.7k
Paulo Sávio Lopes Brazil	27	2.2k 0.7×	742 0.5×	679 0.7×	930 2.0×	191 0.7×	273	2.8k
Humberto Tonhati Brazil	27	2.1k 0.6×	482 0.4×	1.0k 1.0×	813 1.8×	222 0.8×	202	2.5k
Per Madsen Denmark	31	2.9k 0.9×	863 0.6×	1.2k 1.2×	1.0k 2.2×	143 0.5×	135	3.3k
Amanda J. Chamberlain Australia	28	3.2k 1.0×	1.2k 0.9×	657 0.7×	398 0.9×	651 2.2×	74	3.6k
M. M. de Alencar Brazil	29	1.9k 0.6×	552 0.4×	800 0.8×	748 1.6×	227 0.8×	193	2.5k
Sébastien Fritz France	33	2.7k 0.9×	791 0.6×	874 0.9×	269 0.6×	504 1.7×	107	3.1k
Asko Mäki‐Tanila Finland	27	1.8k 0.6×	389 0.3×	461 0.5×	614 1.3×	181 0.6×	67	2.2k
Raphael Mrode United Kingdom	26	2.0k 0.6×	487 0.4×	1.2k 1.2×	736 1.6×	146 0.5×	149	2.8k

Countries citing papers authored by P.J. Bowman

Since Specialization

Citations

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

Fields of papers citing papers by P.J. Bowman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.J. Bowman

This figure shows the co-authorship network connecting the top 25 collaborators of P.J. Bowman. A scholar is included among the top collaborators of P.J. Bowman 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 P.J. Bowman. P.J. Bowman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Kemper, Kathryn E., P.J. Bowman, Ben J. Hayes, Peter M. Visscher, & Michael E. Goddard. (2018). A multi-trait Bayesian method for mapping QTL and genomic prediction. Genetics Selection Evolution. 50(1). 10–10. 30 indexed citations

Calus, M.P.L., Michael E. Goddard, Yvonne C. J. Wientjes, P.J. Bowman, & Ben J. Hayes. (2018). Multibreed genomic prediction using multitrait genomic residual maximum likelihood and multitask Bayesian variable selection. Journal of Dairy Science. 101(5). 4279–4294. 25 indexed citations

MacLeod, Iona M., P.J. Bowman, Christy J. Vander Jagt, et al.. (2016). Exploiting biological priors and sequence variants enhances QTL discovery and genomic prediction of complex traits. BMC Genomics. 17(1). 144–144. 222 indexed citations

Kemper, Kathryn E., Coralie M. Reich, P.J. Bowman, et al.. (2015). Improved precision of QTL mapping using a nonlinear Bayesian method in a multi-breed population leads to greater accuracy of across-breed genomic predictions. Genetics Selection Evolution. 47(1). 29–29. 101 indexed citations

Kemper, Kathryn E., P.J. Bowman, J.E. Pryce, Ben J. Hayes, & Michael E. Goddard. (2012). Long-term selection strategies for complex traits using high-density genetic markers. Journal of Dairy Science. 95(8). 4646–4656. 29 indexed citations

Haile‐Mariam, M., P.J. Bowman, & J.E. Pryce. (2012). Genetic analyses of fertility and predictor traits in Holstein herds with low and high mean calving intervals and in Jersey herds. Journal of Dairy Science. 96(1). 655–667. 26 indexed citations

Pryce, J.E., J. Arias, P.J. Bowman, et al.. (2012). Accuracy of genomic predictions of residual feed intake and 250-day body weight in growing heifers using 625,000 single nucleotide polymorphism markers. Journal of Dairy Science. 95(4). 2108–2119. 124 indexed citations

Brøndum, Rasmus Froberg, Guosheng Su, Mogens Lund, et al.. (2012). Genome position specific priors for genomic prediction. BMC Genomics. 13(1). 543–543. 36 indexed citations

Chamberlain, Amanda J., Ben J. Hayes, Keith W. Savin, et al.. (2012). Validation of single nucleotide polymorphisms associated with milk production traits in dairy cattle. Journal of Dairy Science. 95(2). 864–875. 38 indexed citations

10.

Hayes, Ben J., P.J. Bowman, Hans D. Daetwyler, James Kijas, & J. H. J. van der Werf. (2011). Accuracy of genotype imputation in sheep breeds. Animal Genetics. 43(1). 72–80. 99 indexed citations

11.

Pryce, J.E., Birgit Gredler, Sunduimijid Bolormaa, et al.. (2011). Short communication: Genomic selection using a multi-breed, across-country reference population. Journal of Dairy Science. 94(5). 2625–2630. 82 indexed citations

12.

Nieuwhof, G.J., et al.. (2010). Implementation of genomics in Australia. Bulletin - International Bull Evaluation Service/Interbull bulletin. 35. 10 indexed citations

13.

Pryce, J.E., M. Haile‐Mariam, Klara Verbyla, et al.. (2010). Genetic markers for lactation persistency in primiparous Australian dairy cows. Journal of Dairy Science. 93(5). 2202–2214. 21 indexed citations

14.

Pryce, J.E., Sunduimijid Bolormaa, Amanda J. Chamberlain, et al.. (2010). A validated genome-wide association study in 2 dairy cattle breeds for milk production and fertility traits using variable length haplotypes. Journal of Dairy Science. 93(7). 3331–3345. 129 indexed citations

15.

Haile‐Mariam, M., P.J. Bowman, & Michael E. Goddard. (2010). Calculation of lifetime net income per year (LTNI/year) of Australian Holstein cows to validate the Australian profit ranking of their sires. 1. Genetic analyses and prediction of LTNI/year for cows still in the herd. Animal Production Science. 50(8). 757–766. 2 indexed citations

16.

Hayes, Ben J., P.J. Bowman, Amanda J. Chamberlain, & Michael E. Goddard. (2009). Invited review: Genomic selection in dairy cattle: Progress and challenges. Journal of Dairy Science. 92(2). 433–443. 1278 indexed citations breakdown →

17.

Haile‐Mariam, M., P.J. Bowman, & Michael E. Goddard. (2003). Genetic and environmental relationship among calving interval, survival, persistency of milk yield and somatic cell count in dairy cattle. Livestock Production Science. 80(3). 189–200. 110 indexed citations

18.

Hayes, Ben J., MJ Carrick, P.J. Bowman, & Michael E. Goddard. (2003). Genotype × Environment Interaction for Milk Production of Daughters of Australian Dairy Sires from Test-Day Records. Journal of Dairy Science. 86(11). 3736–3744. 101 indexed citations

19.

Haile‐Mariam, M., Michael E. Goddard, & P.J. Bowman. (2001). Estimates of Genetic Parameters for Daily Somatic Cell Count of Australian Dairy Cattle. Journal of Dairy Science. 84(5). 1255–1264. 60 indexed citations

20.

Bowman, P.J., et al.. (1985). SHEEPO A sheep management optimisation package for sheep industry specialists. Australian Veterinary Journal. 62(S1). 142–143. 3 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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