JA Archer

401 total citations
29 papers, 301 citations indexed

About

JA Archer is a scholar working on Genetics, Agronomy and Crop Science and Ecology. According to data from OpenAlex, JA Archer has authored 29 papers receiving a total of 301 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 8 papers in Agronomy and Crop Science and 3 papers in Ecology. Recurrent topics in JA Archer's work include Genetic and phenotypic traits in livestock (20 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Reproductive Physiology in Livestock (4 papers). JA Archer is often cited by papers focused on Genetic and phenotypic traits in livestock (20 papers), Ruminant Nutrition and Digestive Physiology (6 papers) and Reproductive Physiology in Livestock (4 papers). JA Archer collaborates with scholars based in . JA Archer's co-authors include PF Arthur, RM Herd, E. C. Richardson, GJ Judson, R. Woodgate, RS Hegarty, W. S. Pitchford, TE Hughes, Morris St and HU Graser and has published in prestigious journals such as Asian-Australasian Journal of Animal Sciences, Australian Journal of Experimental Agriculture and Proceedings of the New Zealand Society of Animal Production.

In The Last Decade

JA Archer

26 papers receiving 236 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
JA Archer 11 245 189 137 31 26 29 301
RM Herd 12 308 1.3× 240 1.3× 165 1.2× 34 1.1× 36 1.4× 23 364
D. M. Marshall United States 9 255 1.0× 162 0.9× 157 1.1× 10 0.3× 23 0.9× 20 329
J.E. Vallimont United States 8 295 1.2× 363 1.9× 106 0.8× 15 0.5× 27 1.0× 9 415
R. R. Frahm United States 13 249 1.0× 217 1.1× 125 0.9× 13 0.4× 55 2.1× 39 367
R. A. Afolayan Australia 11 339 1.4× 251 1.3× 136 1.0× 7 0.2× 18 0.7× 24 409
G. M. Gaunt Australia 13 347 1.4× 251 1.3× 165 1.2× 12 0.4× 19 0.7× 28 435
Roger Hegarty Australia 8 210 0.9× 221 1.2× 149 1.1× 73 2.4× 21 0.8× 15 340
Z. Shabi Israel 7 142 0.6× 287 1.5× 79 0.6× 24 0.8× 23 0.9× 9 315
C. Papachristoforou Cyprus 11 172 0.7× 208 1.1× 107 0.8× 8 0.3× 9 0.3× 19 296
G. V. Richardson United States 11 308 1.3× 286 1.5× 110 0.8× 7 0.2× 53 2.0× 28 413

Countries citing papers authored by JA Archer

Since Specialization
Citations

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

Fields of papers citing papers by JA Archer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by JA Archer. 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 JA Archer. The network helps show where JA Archer may publish in the future.

Co-authorship network of co-authors of JA Archer

This figure shows the co-authorship network connecting the top 25 collaborators of JA Archer. A scholar is included among the top collaborators of JA Archer 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 JA Archer. JA Archer 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.
Archer, JA, et al.. (2020). Impact of trait genetic gains on methane emissions from NZ beef and dairy farms. 80. 76–79. 1 indexed citations
2.
Archer, JA, et al.. (2020). Relationship between body condition score and pregnancy rates following artificial insemination and subsequent natural mating in beef cows on commercial farms in New Zealand. 80. 14–20. 11 indexed citations
3.
Archer, JA, et al.. (2014). Design and implementation of the Deer Progeny Test (DPT). Proceedings of the New Zealand Society of Animal Production. 74. 220–225. 1 indexed citations
4.
Archer, JA, et al.. (2010). Can ultrasound eye muscle area scanning be used in the New Zealand deer industry. Proceedings of the New Zealand Society of Animal Production. 70. 275–277. 1 indexed citations
5.
Wiklund, Eva, et al.. (2008). Carcass and meat quality characteristics in young deer stags of different growth rates. Proceedings of the New Zealand Society of Animal Production. 68. 174–177. 4 indexed citations
6.
Archer, JA, et al.. (2008). Does calf genotype influence milk yield of red deer hinds. Proceedings of the New Zealand Society of Animal Production. 68. 170–171. 2 indexed citations
7.
Archer, JA, et al.. (2008). Genetic parameters for growth in Wapiti deer farmed in New Zealand. Proceedings of the New Zealand Society of Animal Production. 68. 172–173. 1 indexed citations
8.
Archer, JA, et al.. (2007). Prospects for genome wide selection in the New Zealand livestock industries. Proceedings of the New Zealand Society of Animal Production. 67. 162–168. 1 indexed citations
9.
Archer, JA, et al.. (2007). New perspectives on deer reproduction , growth and production efficiency. Proceedings of the New Zealand Society of Animal Production. 67. 78–81. 1 indexed citations
10.
Archer, JA. (2003). Genetic improvement of red deer. Proceedings of the New Zealand Society of Animal Production. 63. 233–236. 3 indexed citations
11.
Arthur, PF, et al.. (2001). Response to selection for net feed intake in beef cattle.. 51 indexed citations
12.
Archer, JA, et al.. (2000). Commercial benefits to the beef industry from genetic improvement in net feed efficiency.. Asian-Australasian Journal of Animal Sciences. 13. 338–341. 10 indexed citations
13.
Richardson, E. C., et al.. (1999). Body composition explains only part of the intake difference between high and low efficiency Angus steers.. 9 indexed citations
14.
Arthur, PF, et al.. (1999). Relationship between post-weaning growth, net feed intake and cow performance.. 23 indexed citations
15.
Graser, HU, et al.. (1999). RECORDING NEW BEEF PERFORMANCE MEASURES - EFFECTS ON THE ACCURACY OF SELECTION FOR PROFITABILITY. 6 indexed citations
16.
Herd, RM, et al.. (1998). Pasture intake by high versus low net feed efficient Angus cows. 25 indexed citations
17.
Arthur, PF, et al.. (1997). Genetic and phenotypic variation in feed intake, feed efficiency and growth in beef cattle.. 23 indexed citations
18.
Hughes, TE, JA Archer, & W. S. Pitchford. (1997). Response to selection for high and low net feed intake in mice.. 6 indexed citations
19.
Archer, JA & GJ Judson. (1994). Selenium concentrations in tissues of sheep given a subcutaneous injection of barium selenate or sodium selenate. Australian Journal of Experimental Agriculture. 34(5). 581–581. 7 indexed citations
20.
Archer, JA, et al.. (1994). MEASUREMENT OF EFFICIENCY OF FEED UTILISATION IN BEEF CATTLE. 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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