Amy McLean

643 total citations
43 papers, 451 citations indexed

About

Amy McLean is a scholar working on Equine, Small Animals and Animal Science and Zoology. According to data from OpenAlex, Amy McLean has authored 43 papers receiving a total of 451 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Equine, 17 papers in Small Animals and 13 papers in Animal Science and Zoology. Recurrent topics in Amy McLean's work include Veterinary Equine Medical Research (30 papers), Genetic and phenotypic traits in livestock (13 papers) and Animal Behavior and Welfare Studies (9 papers). Amy McLean is often cited by papers focused on Veterinary Equine Medical Research (30 papers), Genetic and phenotypic traits in livestock (13 papers) and Animal Behavior and Welfare Studies (9 papers). Amy McLean collaborates with scholars based in United States, Spain and Italy. Amy McLean's co-authors include Francisco Javier Navas González, Juan Vicente Delgado Bermejo, José Manuel León Jurado, Camie Heleski, Emanuela Valle, Laura Cavallarin, Domenico Bergero, Ahmed Ali, Federica Raspa and Wei Wang and has published in prestigious journals such as PLoS ONE, Plastic & Reconstructive Surgery and Journal of the Science of Food and Agriculture.

In The Last Decade

Amy McLean

39 papers receiving 426 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amy McLean United States 15 227 173 130 122 121 43 451
Sònia Martí Spain 18 104 0.5× 462 2.7× 135 1.0× 411 3.4× 221 1.8× 84 748
Caroline McG. Argo United Kingdom 21 640 2.8× 200 1.2× 172 1.3× 184 1.5× 685 5.7× 61 1.1k
NG Gregory New Zealand 14 103 0.5× 339 2.0× 79 0.6× 234 1.9× 72 0.6× 32 521
B. Kemp United States 6 42 0.2× 159 0.9× 182 1.4× 34 0.3× 40 0.3× 11 376
José Victor de Oliveira Brazil 9 118 0.5× 45 0.3× 77 0.6× 69 0.6× 186 1.5× 32 316
Fernando Queiroz de Almeida Brazil 14 306 1.3× 50 0.3× 164 1.3× 201 1.6× 267 2.2× 97 625
AD Fisher Australia 11 97 0.4× 328 1.9× 89 0.7× 214 1.8× 69 0.6× 19 466
Joana Nery Italy 15 73 0.3× 71 0.4× 67 0.5× 183 1.5× 48 0.4× 30 479
Domenico Robbe Italy 18 211 0.9× 159 0.9× 190 1.5× 113 0.9× 320 2.6× 70 842
János Tőzsér Hungary 14 36 0.2× 290 1.7× 175 1.3× 348 2.9× 101 0.8× 52 534

Countries citing papers authored by Amy McLean

Since Specialization
Citations

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

Fields of papers citing papers by Amy McLean

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Amy McLean

This figure shows the co-authorship network connecting the top 25 collaborators of Amy McLean. A scholar is included among the top collaborators of Amy McLean 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 Amy McLean. Amy McLean 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.
Bermejo, Juan Vicente Delgado, et al.. (2024). Modeling Climate Change Effects on Genetic Diversity of an Endangered Horse Breed Using Canonical Correlations. Animals. 14(5). 659–659.
2.
3.
Zhang, Jian, et al.. (2023). Expression of genes with biomarker potential identified in skin from DSLD-affected horses increases with age. PLoS ONE. 18(7). e0287740–e0287740. 1 indexed citations
4.
McLean, Amy, et al.. (2023). Transdermal Flunixin Meglumine as a Pain Relief in Donkeys: A Pharmacokinetics Pilot Study. Metabolites. 13(7). 776–776. 2 indexed citations
5.
Bermejo, Juan Vicente Delgado, et al.. (2022). One Hundred Years of Coat Colour Influences on Genetic Diversity in the Process of Development of a Composite Horse Breed. Veterinary Sciences. 9(2). 68–68. 6 indexed citations
6.
Bazzano, Marilena, Andrea Marchegiani, Alessandro Troisi, Amy McLean, & Fulvio Laus. (2022). Serum Amyloid A as a Promising Biomarker in Domestic Animals’ Reproduction: Current Knowledge and Future Perspective. Animals. 12(5). 589–589. 9 indexed citations
7.
8.
Segabinazzi, Lorenzo, et al.. (2020). Donkey Epididymal Transport for Semen Cooling and Freezing. Animals. 10(12). 2209–2209. 6 indexed citations
9.
González, Francisco Javier Navas, J. Jordana, Amy McLean, et al.. (2019). Modelling for the inheritance of multiple births and fertility in endangered equids: Determining risk factors and genetic parameters in donkeys (Equus asinus). Research in Veterinary Science. 126. 213–226. 3 indexed citations
10.
Nielsen, Brian D., Amy McLean, Cara I. Robison, et al.. (2019). Insulin Resistance as a Result of Body Condition Categorized as Thin, Moderate, and Obese in Domesticated U.S. Donkeys (Equus asinus). Journal of Equine Veterinary Science. 77. 31–35. 6 indexed citations
11.
McLean, Amy, et al.. (2019). Donkey and Mule Behavior. Veterinary Clinics of North America Equine Practice. 35(3). 575–588. 14 indexed citations
12.
González, Francisco Javier Navas, et al.. (2019). Determining factors and interspecific modeling for serum amyloid a concentrations in working horses, donkeys, and mules. Research in Veterinary Science. 125. 256–265. 13 indexed citations
13.
Bazzano, Marilena, et al.. (2019). Selenium and Vitamin E Concentrations in a Healthy Donkey Population in Central Italy. Journal of Equine Veterinary Science. 78. 112–116. 14 indexed citations
14.
15.
González, Francisco Javier Navas, J. Jordana, José Manuel León Jurado, et al.. (2018). Genetic parameter and breeding value estimation of donkeys' problem-focused coping styles. Behavioural Processes. 153. 66–76. 18 indexed citations
16.
Brown, Martin M., et al.. (2018). First Reported Case of Pulmonary Arterial Hypertension Secondary to Tofacitinib Treatment for Undifferentiated Arthritis. JCR Journal of Clinical Rheumatology. 1–1.
17.
González, Francisco Javier Navas, J. Jordana, José Manuel León Jurado, et al.. (2018). Genetic parameter estimation and implementation of the genetic evaluation for gaits in a breeding program for assisted-therapy in donkeys. Veterinary Research Communications. 42(2). 101–110. 5 indexed citations
18.
González, Francisco Javier Navas, J. Jordana, José Manuel León Jurado, et al.. (2017). Measuring and modeling for the assessment of the genetic background behind cognitive processes in donkeys. Research in Veterinary Science. 113. 105–114. 13 indexed citations
19.
McLean, Amy, et al.. (2016). Reference intervals for hematological and blood biochemistry reference values in healthy mules and hinnies. Comparative Clinical Pathology. 25(4). 871–878. 16 indexed citations
20.
Talmor, Mia, Catherine B. Barden, Michelle C. Specht, et al.. (2003). COX-2 Up-Regulation in Idiopathic Carpal Tunnel Syndrome. Plastic & Reconstructive Surgery. 112(7). 1807–1814. 10 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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