Hannah E. Salvin

937 total citations
18 papers, 678 citations indexed

About

Hannah E. Salvin is a scholar working on Genetics, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Hannah E. Salvin has authored 18 papers receiving a total of 678 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Genetics, 8 papers in Small Animals and 5 papers in Animal Science and Zoology. Recurrent topics in Hannah E. Salvin's work include Human-Animal Interaction Studies (9 papers), Animal Behavior and Welfare Studies (6 papers) and Neuroendocrine regulation and behavior (4 papers). Hannah E. Salvin is often cited by papers focused on Human-Animal Interaction Studies (9 papers), Animal Behavior and Welfare Studies (6 papers) and Neuroendocrine regulation and behavior (4 papers). Hannah E. Salvin collaborates with scholars based in Australia, United Kingdom and Mexico. Hannah E. Salvin's co-authors include Paul McGreevy, Michael Valenzuela, Perminder S. Sachdev, Caroline Lee, A. M. Lees, I. Barchia, W. J. Fulkerson, S.C. García, Pietro Celi and Sant‐Rayn Pasricha and has published in prestigious journals such as PLoS ONE, Transfusion and Applied Animal Behaviour Science.

In The Last Decade

Hannah E. Salvin

18 papers receiving 633 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Hannah E. Salvin Australia 15 325 163 121 99 95 18 678
D.B. Stephens Slovakia 19 112 0.3× 366 2.2× 326 2.7× 54 0.5× 75 0.8× 48 833
C. Kühn Germany 22 820 2.5× 42 0.3× 248 2.0× 126 1.3× 94 1.0× 62 1.4k
Cristina de Oliveira Massoco Brazil 17 59 0.2× 92 0.6× 42 0.3× 72 0.7× 108 1.1× 79 943
Christina Schlumbohm Germany 21 116 0.4× 104 0.6× 88 0.7× 124 1.3× 72 0.8× 50 1.1k
B. P. Fitzgerald United States 17 180 0.6× 68 0.4× 150 1.2× 44 0.4× 20 0.2× 38 1.0k
David M. Baldwin United States 17 193 0.6× 120 0.7× 84 0.7× 62 0.6× 118 1.2× 51 1.2k
Roberto Chiocchetti Italy 21 74 0.2× 52 0.3× 46 0.4× 233 2.4× 61 0.6× 96 1.4k
Elizabeth Hare United States 15 428 1.3× 90 0.6× 111 0.9× 35 0.4× 34 0.4× 39 949
D. G. Porter United Kingdom 22 215 0.7× 201 1.2× 104 0.9× 61 0.6× 515 5.4× 71 1.7k
Joelle C. Ingrao Canada 8 194 0.6× 457 2.8× 90 0.7× 327 3.3× 131 1.4× 10 1.1k

Countries citing papers authored by Hannah E. Salvin

Since Specialization
Citations

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

Fields of papers citing papers by Hannah E. Salvin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Hannah E. Salvin. 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 Hannah E. Salvin. The network helps show where Hannah E. Salvin may publish in the future.

Co-authorship network of co-authors of Hannah E. Salvin

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

All Works

18 of 18 papers shown
1.
Salvin, Hannah E., et al.. (2022). Benchmarking to drive improvements in extensive beef cattle welfare: a perspective on developing an Australian producer-driven system. Animal Production Science. 62(16). 1539–1547. 4 indexed citations
2.
Lees, A. M., Hannah E. Salvin, Ian G. Colditz, & Caroline Lee. (2020). The Influence of Temperament on Body Temperature Response to Handling in Angus Cattle. Animals. 10(1). 172–172. 32 indexed citations
3.
Salvin, Hannah E., L. M. Cafe, A. M. Lees, Stephen Morris, & Caroline Lee. (2020). A novel protocol to measure startle magnitude in sheep. Applied Animal Behaviour Science. 228. 104996–104996. 8 indexed citations
4.
Salvin, Hannah E., A. M. Lees, L. M. Cafe, Ian G. Colditz, & Caroline Lee. (2020). Welfare of beef cattle in Australian feedlots: a review of the risks and measures. Animal Production Science. 60(13). 1569–1590. 24 indexed citations
5.
Packer, Rowena M. A., et al.. (2018). Cognitive dysfunction in naturally occurring canine idiopathic epilepsy. PLoS ONE. 13(2). e0192182–e0192182. 54 indexed citations
6.
Lees, A. M., Jim M. Lea, Hannah E. Salvin, et al.. (2018). Relationship between Rectal Temperature and Vaginal Temperature in Grazing Bos taurus Heifers. Animals. 8(9). 156–156. 19 indexed citations
8.
Salvin, Hannah E., et al.. (2014). Iron deficiency in blood donors: a national cross‐sectional study. Transfusion. 54(10). 2434–2444. 59 indexed citations
9.
Hawson, Lesley, Hannah E. Salvin, Andrew N. McLean, & Paul McGreevy. (2014). Riders' application of rein tension for walk-to-halt transitions on a model horse. Journal of Veterinary Behavior. 9(4). 164–168. 15 indexed citations
10.
McGreevy, Paul, Lesley Hawson, Hannah E. Salvin, & Andrew N. McLean. (2013). A note on the force of whip impacts delivered by jockeys using forehand and backhand strikes. Journal of Veterinary Behavior. 8(5). 395–399. 15 indexed citations
11.
McGreevy, Paul, et al.. (2012). Whip Use by Jockeys in a Sample of Australian Thoroughbred Races—An Observational Study. PLoS ONE. 7(3). e33398–e33398. 17 indexed citations
12.
Salvin, Hannah E., Paul McGreevy, Perminder S. Sachdev, & Michael Valenzuela. (2012). The effect of breed on age-related changes in behavior and disease prevalence in cognitively normal older community dogs, Canis lupus familiaris. Journal of Veterinary Behavior. 7(2). 61–69. 24 indexed citations
13.
Salvin, Hannah E., C. A. McGrath, Paul McGreevy, & Michael Valenzuela. (2012). Development of a novel paradigm for the measurement of olfactory discrimination in dogs (Canis familiaris): A pilot study. Journal of Veterinary Behavior. 7(1). 3–10. 12 indexed citations
14.
Salvin, Hannah E., Paul McGreevy, Perminder S. Sachdev, & Michael Valenzuela. (2011). THE CANINE SAND MAZE: AN APPETITIVE SPATIAL MEMORY PARADIGM SENSITIVE TO AGE-RELATED CHANGE IN DOGS. Journal of the Experimental Analysis of Behavior. 95(1). 109–118. 21 indexed citations
15.
Salvin, Hannah E., Paul McGreevy, Perminder S. Sachdev, & Michael Valenzuela. (2011). Growing old gracefully—Behavioral changes associated with “successful aging” in the dog, Canis familiaris. Journal of Veterinary Behavior. 6(6). 313–320. 46 indexed citations
16.
Salvin, Hannah E., Paul McGreevy, Perminder S. Sachdev, & Michael Valenzuela. (2010). The canine cognitive dysfunction rating scale (CCDR): A data-driven and ecologically relevant assessment tool. The Veterinary Journal. 188(3). 331–336. 115 indexed citations
17.
Celi, Pietro, et al.. (2009). Effect of diet, energy balance and milk production on oxidative stress in early-lactating dairy cows grazing pasture. The Veterinary Journal. 186(3). 352–357. 102 indexed citations
18.
Salvin, Hannah E., Paul McGreevy, Perminder S. Sachdev, & Michael Valenzuela. (2009). Under diagnosis of canine cognitive dysfunction: A cross-sectional survey of older companion dogs. The Veterinary Journal. 184(3). 277–281. 96 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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