J.F. Penry

403 total citations
19 papers, 298 citations indexed

About

J.F. Penry is a scholar working on Agronomy and Crop Science, Small Animals and Animal Science and Zoology. According to data from OpenAlex, J.F. Penry has authored 19 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Agronomy and Crop Science, 7 papers in Small Animals and 6 papers in Animal Science and Zoology. Recurrent topics in J.F. Penry's work include Milk Quality and Mastitis in Dairy Cows (16 papers), Animal Behavior and Welfare Studies (7 papers) and Effects of Environmental Stressors on Livestock (6 papers). J.F. Penry is often cited by papers focused on Milk Quality and Mastitis in Dairy Cows (16 papers), Animal Behavior and Welfare Studies (7 papers) and Effects of Environmental Stressors on Livestock (6 papers). J.F. Penry collaborates with scholars based in United States, Ireland and Italy. J.F. Penry's co-authors include Douglas J. Reinemann, John Upton, Paul M. Thompson, P.M. Crump, Laura L. Hernandez, G. A. Mein, Stefano Leonardi, Mads Rasmussen, Morten Dam Rasmussen and P.D. Thompson and has published in prestigious journals such as Journal of Dairy Science, Biosystems Engineering and Veterinary Clinics of North America Food Animal Practice.

In The Last Decade

J.F. Penry

17 papers receiving 280 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J.F. Penry United States 13 223 121 108 79 42 19 298
Ian Ohnstad United Kingdom 9 207 0.9× 108 0.9× 97 0.9× 99 1.3× 41 1.0× 23 315
Champak Bhakat India 11 225 1.0× 68 0.6× 129 1.2× 100 1.3× 64 1.5× 67 326
F. Neijenhuis Netherlands 9 469 2.1× 226 1.9× 203 1.9× 142 1.8× 154 3.7× 26 591
D. N. Das India 12 181 0.8× 106 0.9× 170 1.6× 66 0.8× 98 2.3× 54 362
Elizabeth Eckelkamp United States 8 88 0.4× 179 1.5× 185 1.7× 40 0.5× 48 1.1× 16 299
P.D. Virkler United States 12 291 1.3× 149 1.2× 120 1.1× 123 1.6× 55 1.3× 27 353
J. Mačuhová Slovakia 9 299 1.3× 202 1.7× 206 1.9× 60 0.8× 111 2.6× 16 412
P.H. Hogewerf Netherlands 11 316 1.4× 204 1.7× 206 1.9× 137 1.7× 116 2.8× 39 468
Alen Džidić Croatia 10 206 0.9× 117 1.0× 167 1.5× 47 0.6× 115 2.7× 36 355
Simone Cogrossi Italy 4 295 1.3× 106 0.9× 126 1.2× 25 0.3× 87 2.1× 5 360

Countries citing papers authored by J.F. Penry

Since Specialization
Citations

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

Fields of papers citing papers by J.F. Penry

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of J.F. Penry

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

All Works

19 of 19 papers shown
1.
McDougall, S, et al.. (2021). Antimicrobial susceptibilities in dairy herds that differ in dry cow therapy usage. Journal of Dairy Science. 104(8). 9142–9163. 12 indexed citations
2.
Zucali, Maddalena, et al.. (2021). Changes in electrical conductivity, milk production rate and milk flow rate prior to clinical mastitis confirmation. Italian Journal of Animal Science. 20(1). 1554–1561. 12 indexed citations
3.
Thompson, P.D., et al.. (2020). Cyclic pressure applied to cows' teats by teatcup liners can be determined simply and noninvasively. Journal of Dairy Science. 104(2). 1881–1886.
4.
Penry, J.F.. (2018). Mastitis Control in Automatic Milking Systems. Veterinary Clinics of North America Food Animal Practice. 34(3). 439–456. 14 indexed citations
5.
Penry, J.F., P.M. Crump, Laura L. Hernandez, & Douglas J. Reinemann. (2018). Association of quarter milking measurements and cow-level factors in an automatic milking system. Journal of Dairy Science. 101(8). 7551–7562. 15 indexed citations
6.
Penry, J.F., P.M. Crump, P.L. Ruegg, & Douglas J. Reinemann. (2017). Short communication: Cow- and quarter-level milking indicators and their associations with clinical mastitis in an automatic milking system. Journal of Dairy Science. 100(11). 9267–9272. 20 indexed citations
7.
Penry, J.F., John Upton, Stefano Leonardi, Paul M. Thompson, & Douglas J. Reinemann. (2017). A method for assessing teatcup liner performance during the peak milk flow period. Journal of Dairy Science. 101(1). 649–660. 17 indexed citations
8.
Penry, J.F., P.M. Crump, Laura L. Hernandez, & Douglas J. Reinemann. (2017). Association of milking interval and milk production rate in an automatic milking system. Journal of Dairy Science. 101(2). 1616–1625. 14 indexed citations
9.
Penry, J.F., Stefano Leonardi, John Upton, Paul M. Thompson, & Douglas J. Reinemann. (2016). Assessing liner performance using on-farm milk meters. Journal of Dairy Science. 99(8). 6609–6618. 13 indexed citations
10.
Penry, J.F., et al.. (2016). Effect of incomplete milking on milk production rate and composition with 2 daily milkings. Journal of Dairy Science. 100(2). 1535–1540. 27 indexed citations
11.
Upton, John, J.F. Penry, Mads Rasmussen, Paul M. Thompson, & Douglas J. Reinemann. (2016). Effect of pulsation rest phase duration on teat end congestion. Journal of Dairy Science. 99(5). 3958–3965. 34 indexed citations
12.
Penry, J.F., John Upton, G. A. Mein, et al.. (2016). Estimating teat canal cross-sectional area to determine the effects of teat-end and mouthpiece chamber vacuum on teat congestion. Journal of Dairy Science. 100(1). 821–827. 42 indexed citations
13.
Upton, John, Douglas J. Reinemann, J.F. Penry, & Paul M. Thompson. (2016). A quarter milking analysis device – Development and demonstration. Biosystems Engineering. 147. 259–264. 11 indexed citations
14.
Leonardi, Stefano, J.F. Penry, F.M. Tangorra, P.D. Thompson, & Douglas J. Reinemann. (2015). Methods of estimating liner compression. Journal of Dairy Science. 98(10). 6905–6912. 16 indexed citations
15.
Morton, John M., J.F. Penry, J. Malmo, & G. A. Mein. (2014). Premilking teat disinfection: Is it worthwhile in pasture-grazed dairy herds?. Journal of Dairy Science. 97(12). 7525–7537. 14 indexed citations
16.
Penry, J.F., et al.. (2011). Developing new veterinary services in milk quality: A review of a recent mastitis risk management co-development in Australia. New Zealand Veterinary Journal. 59(1). 24–27. 5 indexed citations
17.
Penry, J.F. & Peter Mansell. (2010). New mastitis infection rate analysis in Australian dairy herds utilising a novel individual cow cell count reporting system. 1 indexed citations
18.
Nettle, Ruth, Mark Paine, & J.F. Penry. (2010). Aligning farm decision making and genetic information systems to improve animal production: methodology and findings from the Australian dairy industry. Animal Production Science. 50(6). 429–434. 13 indexed citations
19.
Penry, J.F., et al.. (2009). A national programme for mastitis control in Australia: Countdown Downunder. Irish Veterinary Journal. 62(S4). S52–58. 18 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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