Matthew C. Leach

4.8k total citations · 2 hit papers
65 papers, 3.2k citations indexed

About

Matthew C. Leach is a scholar working on Small Animals, Genetics and Social Psychology. According to data from OpenAlex, Matthew C. Leach has authored 65 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 54 papers in Small Animals, 20 papers in Genetics and 15 papers in Social Psychology. Recurrent topics in Matthew C. Leach's work include Veterinary Pharmacology and Anesthesia (39 papers), Animal Behavior and Welfare Studies (24 papers) and Human-Animal Interaction Studies (19 papers). Matthew C. Leach is often cited by papers focused on Veterinary Pharmacology and Anesthesia (39 papers), Animal Behavior and Welfare Studies (24 papers) and Human-Animal Interaction Studies (19 papers). Matthew C. Leach collaborates with scholars based in United Kingdom, United States and Italy. Matthew C. Leach's co-authors include Paul Flecknell, Amy L. Miller, Emanuela Dalla Costa, Michela Minero, Lynne U. Sneddon, Diana Stucke, Dirk Lebelt, Robert W. Elwood, Shelley A. Adamo and Elisabetta Canali and has published in prestigious journals such as PLoS ONE, Scientific Reports and Proceedings of the Royal Society B Biological Sciences.

In The Last Decade

Matthew C. Leach

64 papers receiving 3.0k citations

Hit Papers

Development of the Horse Grimace Scale (HGS) as a Pain As... 2014 2026 2018 2022 2014 2014 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew C. Leach United Kingdom 28 2.4k 935 759 614 395 65 3.2k
Katherine A. Houpt United States 44 2.3k 1.0× 2.3k 2.5× 1.5k 2.0× 840 1.4× 672 1.7× 191 5.3k
Jan Ladewig Denmark 30 1.8k 0.8× 795 0.9× 532 0.7× 1.2k 1.9× 293 0.7× 89 2.5k
Jan Langbein Germany 30 2.9k 1.2× 1.8k 1.9× 550 0.7× 1.8k 2.9× 601 1.5× 82 4.0k
Eberhard von Borell Germany 26 1.6k 0.7× 635 0.7× 349 0.5× 1.4k 2.3× 243 0.6× 82 2.6k
Adroaldo José Zanella Brazil 30 1.7k 0.7× 1.1k 1.1× 230 0.3× 884 1.4× 428 1.1× 112 2.5k
Christine Leterrier France 31 1.5k 0.7× 574 0.6× 419 0.6× 2.0k 3.2× 334 0.8× 103 3.4k
Edmond A. Pajor Canada 42 4.3k 1.8× 1.6k 1.7× 195 0.3× 2.9k 4.8× 426 1.1× 146 5.5k
J.N. Marchant United States 32 2.4k 1.0× 974 1.0× 384 0.5× 2.1k 3.4× 320 0.8× 120 3.7k
Michela Minero Italy 27 1.9k 0.8× 1.1k 1.1× 1.3k 1.7× 896 1.5× 190 0.5× 101 2.8k
Carole Fureix France 26 1.1k 0.5× 644 0.7× 884 1.2× 308 0.5× 235 0.6× 47 1.6k

Countries citing papers authored by Matthew C. Leach

Since Specialization
Citations

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

Fields of papers citing papers by Matthew C. Leach

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Matthew C. Leach. 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 Matthew C. Leach. The network helps show where Matthew C. Leach may publish in the future.

Co-authorship network of co-authors of Matthew C. Leach

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew C. Leach. A scholar is included among the top collaborators of Matthew C. Leach 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 Matthew C. Leach. Matthew C. Leach 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
2.
Mehrnezhad, Maryam, et al.. (2022). Security and Privacy Concerns of Pet Tech Users. 155–162. 1 indexed citations
3.
Miller, Amy L., et al.. (2022). Evaluating Pain and Analgesia Effectiveness Following Routine Castration in Rabbits Using Behavior and Facial Expressions. Frontiers in Veterinary Science. 9. 782486–782486. 9 indexed citations
4.
McKeegan, Dorothy, et al.. (2022). Determining Candidate Hypobaric Hypoxia Profiles for Humane Killing of Laboratory Mice. Frontiers in Veterinary Science. 9. 834478–834478. 6 indexed citations
5.
Robinson, Lauren M., Natalie Waran, Ian Handel, & Matthew C. Leach. (2021). Happiness, welfare, and personality in rhesus macaques (Macaca mulatta). Applied Animal Behaviour Science. 236. 105268–105268. 9 indexed citations
6.
Leach, Matthew C., et al.. (2020). Negative mood affects the expression of negative but not positive emotions in mice. Proceedings of the Royal Society B Biological Sciences. 287(1933). 9 indexed citations
7.
8.
McLennan, Krista M., Amy L. Miller, Emanuela Dalla Costa, et al.. (2019). Conceptual and methodological issues relating to pain assessment in mammals: The development and utilisation of pain facial expression scales. Applied Animal Behaviour Science. 217. 1–15. 52 indexed citations
9.
Miller, Amy L., et al.. (2019). Validation of mouse welfare indicators: a Delphi consultation survey. Scientific Reports. 9(1). 10249–10249. 26 indexed citations
10.
Dwyer, Dominic M., et al.. (2018). Handling method alters the hedonic value of reward in laboratory mice. Scientific Reports. 8(1). 2448–2448. 62 indexed citations
11.
Schoemaker, Nico J., Riccardo Pascuzzo, Matthew C. Leach, et al.. (2017). The composition and initial evaluation of a grimace scale in ferrets after surgical implantation of a telemetry probe. PLoS ONE. 12(11). e0187986–e0187986. 55 indexed citations
12.
Viscardi, Abbie V., et al.. (2017). Development of a Piglet Grimace Scale to Evaluate Piglet Pain Using Facial Expressions Following Castration and Tail Docking: A Pilot Study. Frontiers in Veterinary Science. 4. 51–51. 97 indexed citations
13.
McLennan, Krista M., Carlos Rebelo, Murray J. Corke, et al.. (2016). Development of a facial expression scale using footrot and mastitis as models of pain in sheep. Applied Animal Behaviour Science. 176. 19–26. 137 indexed citations
14.
Thomas, Aurélie, Amy L. Miller, J. V. Roughan, et al.. (2016). Efficacy of Intrathecal Morphine in a Model of Surgical Pain in Rats. PLoS ONE. 11(10). e0163909–e0163909. 17 indexed citations
15.
Giminiani, Pierpaolo Di, et al.. (2016). The Assessment of Facial Expressions in Piglets Undergoing Tail Docking and Castration: Toward the Development of the Piglet Grimace Scale. Frontiers in Veterinary Science. 3. 100–100. 89 indexed citations
16.
Beausoleil, Ngaio J., et al.. (2016). Coding and quantification of a facial expression for pain in lambs. Behavioural Processes. 132. 49–56. 76 indexed citations
17.
Miller, Amy L., et al.. (2015). The effect of isoflurane anaesthesia and buprenorphine on the mouse grimace scale and behaviour in CBA and DBA/2 mice. Applied Animal Behaviour Science. 172. 58–62. 50 indexed citations
18.
Costa, Emanuela Dalla, Michela Minero, Dirk Lebelt, et al.. (2014). Development of the Horse Grimace Scale (HGS) as a Pain Assessment Tool in Horses Undergoing Routine Castration. PLoS ONE. 9(3). e92281–e92281. 393 indexed citations breakdown →
19.
Keating, Stephanie, Aurélie Thomas, Paul Flecknell, & Matthew C. Leach. (2012). Evaluation of EMLA Cream for Preventing Pain during Tattooing of Rabbits: Changes in Physiological, Behavioural and Facial Expression Responses. PLoS ONE. 7(9). e44437–e44437. 237 indexed citations
20.
Leach, Matthew C., et al.. (2009). Behavioural effects of ovariohysterectomy and oral administration of meloxicam in laboratory housed rabbits. Research in Veterinary Science. 87(2). 336–347. 82 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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