P.R. Amer

3.0k total citations
143 papers, 2.3k citations indexed

About

P.R. Amer is a scholar working on Genetics, Agronomy and Crop Science and General Agricultural and Biological Sciences. According to data from OpenAlex, P.R. Amer has authored 143 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 128 papers in Genetics, 56 papers in Agronomy and Crop Science and 27 papers in General Agricultural and Biological Sciences. Recurrent topics in P.R. Amer's work include Genetic and phenotypic traits in livestock (125 papers), Reproductive Physiology in Livestock (37 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). P.R. Amer is often cited by papers focused on Genetic and phenotypic traits in livestock (125 papers), Reproductive Physiology in Livestock (37 papers) and Genetic Mapping and Diversity in Plants and Animals (29 papers). P.R. Amer collaborates with scholars based in New Zealand, United Kingdom and Australia. P.R. Amer's co-authors include T. J. Byrne, G. Simm, D.P. Berry, A.R. Cromie, Hanne Marie Nielsen, J.E. Pryce, B. Wickham, Daniel Collado, John C. McEwan and K. G. Dodds and has published in prestigious journals such as PLoS ONE, Journal of Dairy Science and Journal of Animal Science.

In The Last Decade

P.R. Amer

134 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
P.R. Amer New Zealand	28	1.7k	1.1k	637	349	337	143	2.3k
A.F. Groen Netherlands	33	2.3k 1.3×	1.1k 1.1×	835 1.3×	501 1.4×	279 0.8×	121	2.8k
M.G.G. Chagunda United Kingdom	30	979 0.6×	1.4k 1.3×	848 1.3×	576 1.7×	292 0.9×	98	2.2k
Júlio Otávio Jardim Barcellos Brazil	21	540 0.3×	673 0.6×	599 0.9×	218 0.6×	287 0.9×	177	1.8k
María Wurzinger Austria	26	1.2k 0.7×	775 0.7×	509 0.8×	150 0.4×	191 0.6×	144	2.3k
A.K. Kahi Kenya	26	1.2k 0.7×	915 0.8×	876 1.4×	118 0.3×	105 0.3×	145	2.1k
J. W. Wilton Canada	27	2.2k 1.3×	1.3k 1.2×	1.2k 1.9×	249 0.7×	108 0.3×	149	3.0k
M. Rath Ireland	37	2.3k 1.3×	2.8k 2.6×	651 1.0×	294 0.8×	285 0.8×	85	3.4k
H.D. Norman United States	33	3.0k 1.7×	2.4k 2.3×	1.2k 1.8×	552 1.6×	131 0.4×	176	3.8k
G. Simm United Kingdom	37	3.5k 2.0×	2.5k 2.3×	1.9k 2.9×	833 2.4×	482 1.4×	188	4.7k
A. Waterhouse United Kingdom	32	827 0.5×	1.2k 1.1×	538 0.8×	489 1.4×	556 1.6×	91	2.5k

Countries citing papers authored by P.R. Amer

Since Specialization

Citations

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

Fields of papers citing papers by P.R. Amer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of P.R. Amer

This figure shows the co-authorship network connecting the top 25 collaborators of P.R. Amer. A scholar is included among the top collaborators of P.R. Amer 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.R. Amer. P.R. Amer 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

Amer, P.R., Pierre Beukes, Omar Al-Marashdeh, et al.. (2025). Developing an approach to select nitrogen loss mitigations for temperate pasture‐based dairy farms. New Zealand Journal of Agricultural Research. 68(6). 1311–1328.

Quinton, Cheryl, J. A. Archer, Daniel Collado, et al.. (2021). Estimation of economic value for efficiency and animal health and welfare traits, teat and udder structure, in Canadian Angus cattle. Journal of Animal Breeding and Genetics. 138(3). 314–325. 2 indexed citations

McHugh, N., et al.. (2021). Genetic and economic benefits of foreign sire contributions to a domestic sheep industry; including an Ireland-New Zealand case study. Genetics Selection Evolution. 53(1). 5–5. 5 indexed citations

Romera, Álvaro, et al.. (2020). A model to assess the impact of potential genetic selection of dairy cows for volume per urination and total urine volume per day on nitrogen leaching. 80. 60–64. 1 indexed citations

Amer, P.R., et al.. (2018). Assessment of the genetic and economic impact of performance recording and genotyping in Australian commercial sheep operations. Journal of Animal Breeding and Genetics. 135(3). 221–237. 4 indexed citations

Collado, Daniel, T. J. Byrne, Clara Díaz, & P.R. Amer. (2018). Complexity of animal breeding choice making. Journal of Animal Breeding and Genetics. 135(6). 395–409. 17 indexed citations

Stachowicz, Katarzyna, P.R. Amer, D.P. Berry, et al.. (2018). Changes to the genetic evaluation of fertility in Irish dairy cattle. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 indexed citations

Werf, J. H. J. van der, et al.. (2017). Genetic and economic benefits of selection based on performance recording and genotyping in lower tiers of multi-tiered sheep breeding schemes. Genetics Selection Evolution. 49(1). 10–10. 16 indexed citations

Meyer, Stefan, P.R. Amer, Christine F. Baes, et al.. (2017). Options for incorporating feed intake into national selection indexes. Bulletin - International Bull Evaluation Service/Interbull bulletin. 48–56. 1 indexed citations

10.

Byrne, T. J., et al.. (2015). Transfers of genetic merit through multiple-tiered breeding structures into trait expressions for commercial sheep production. RUNE (Research UNE). 75. 97–100. 1 indexed citations

11.

Byrne, T. J., et al.. (2014). Factors Affecting Rankings of Dairy Bulls across New Zealand Dairy Farm Systems. Proceedings of the World Congress on Genetics Applied to Livestock Production. 2. 1 indexed citations

12.

Amer, P.R., et al.. (2013). An update of the National Breeding Objective for the New Zealand dairy industry.. Bulletin - International Bull Evaluation Service/Interbull bulletin. 95–98. 3 indexed citations

13.

Byrne, T. J., et al.. (2012). A comparative analysis of genetic trends within the New Zealand sheep industry. Proceedings of the New Zealand Society of Animal Production. 72. 159–162. 2 indexed citations

14.

Amer, P.R., et al.. (2011). Sources of benefits from genetic improvement in the UK dairy industry and their impacts on producers and consumers. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 indexed citations

15.

Shackell, G. H., et al.. (2003). A cost‐benefit analysis of the value of investment in a wapiti hybridisation research programme and the returns to New Zealand venison producers. New Zealand Journal of Agricultural Research. 46(2). 133–140. 4 indexed citations

16.

Amer, P.R., et al.. (2003). Genetics of lamb survival. Proceedings of the New Zealand Society of Animal Production. 63. 201–203. 4 indexed citations

17.

Amer, P.R., et al.. (2003). What is a better ram worth. Proceedings of the New Zealand Society of Animal Production. 63. 187–189. 1 indexed citations

18.

Amer, P.R.. (1999). Economic accounting of numbers of expressions and delays in sheep genetic improvement. New Zealand Journal of Agricultural Research. 42(3). 325–336. 28 indexed citations

19.

Amer, P.R., et al.. (1999). The importance of date of birth records in genetic evaluation of deer. Proceedings of the New Zealand Society of Animal Production. 59. 129–130. 3 indexed citations

20.

Visscher, Peter M. & P.R. Amer. (1996). Customised selection indices. Bulletin - International Bull Evaluation Service/Interbull bulletin. 1 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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