Gareth D. Readman

688 total citations
8 papers, 481 citations indexed

About

Gareth D. Readman is a scholar working on Nature and Landscape Conservation, Small Animals and Immunology. According to data from OpenAlex, Gareth D. Readman has authored 8 papers receiving a total of 481 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Nature and Landscape Conservation, 4 papers in Small Animals and 4 papers in Immunology. Recurrent topics in Gareth D. Readman's work include Aquaculture disease management and microbiota (4 papers), Fish Ecology and Management Studies (4 papers) and Veterinary Pharmacology and Anesthesia (4 papers). Gareth D. Readman is often cited by papers focused on Aquaculture disease management and microbiota (4 papers), Fish Ecology and Management Studies (4 papers) and Veterinary Pharmacology and Anesthesia (4 papers). Gareth D. Readman collaborates with scholars based in United Kingdom, Canada and Germany. Gareth D. Readman's co-authors include Stewart F. Owen, T. G. Knowles, Joanna C. Murrell, Mark J. Prescott, Tim Williams, Katie Lidster, Rod W. Wilson, Katherine A. Sloman, Ngaire Dennison and Craig Johnson and has published in prestigious journals such as PLoS ONE, Scientific Reports and Journal of Fish Biology.

In The Last Decade

Gareth D. Readman

7 papers receiving 469 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Gareth D. Readman United Kingdom	7	207	168	162	138	127	8	481
Chereen Collymore United States	11	123 0.6×	102 0.6×	196 1.2×	33 0.2×	95 0.7×	17	451
Javier López-Luna United Kingdom	10	103 0.5×	46 0.3×	79 0.5×	96 0.7×	67 0.5×	11	333
Percília Cardoso Giaquinto Brazil	14	138 0.7×	202 1.2×	43 0.3×	225 1.6×	30 0.2×	39	662
Elisa Angiulli Italy	10	65 0.3×	84 0.5×	90 0.6×	83 0.6×	20 0.2×	12	382
Rosmari Mezzalira Quevedo Brazil	14	420 2.0×	273 1.6×	133 0.8×	531 3.8×	13 0.1×	18	995
Augusto Barbosa Brazil	10	62 0.3×	80 0.5×	53 0.3×	39 0.3×	20 0.2×	20	282
M. Pilarczyk Poland	7	93 0.4×	101 0.6×	34 0.2×	111 0.8×	16 0.1×	15	344
Claudiane Valotaire France	12	168 0.8×	127 0.8×	15 0.1×	289 2.1×	24 0.2×	17	429
Mst. Kaniz Fatema Bangladesh	7	37 0.2×	140 0.8×	131 0.8×	109 0.8×	9 0.1×	27	528
Leonardo Cericato Brazil	8	302 1.5×	183 1.1×	130 0.8×	317 2.3×	5 0.0×	9	640

Countries citing papers authored by Gareth D. Readman

Since Specialization

Citations

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

Fields of papers citing papers by Gareth D. Readman

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gareth D. Readman. 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 Gareth D. Readman. The network helps show where Gareth D. Readman may publish in the future.

Co-authorship network of co-authors of Gareth D. Readman

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

All Works

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8 of 8 papers shown

1.

Schroeder, Paul G., et al.. (2021). Anaesthesia of laboratory, aquaculture and ornamental fish: Proceedings of the first LASA-FVS Symposium. Laboratory Animals. 55(4). 317–328. 23 indexed citations

2.

Readman, Gareth D., Stewart F. Owen, T. G. Knowles, & Joanna C. Murrell. (2017). Species specific anaesthetics for fish anaesthesia and euthanasia. Scientific Reports. 7(1). 7102–7102. 83 indexed citations

3.

Lidster, Katie, Gareth D. Readman, Mark J. Prescott, & Stewart F. Owen. (2017). International survey on the use and welfare of zebrafish Danio rerio in research. Journal of Fish Biology. 90(5). 1891–1905. 80 indexed citations

4.

Hawkins, Penny, Mark J. Prescott, Larry Carbone, et al.. (2016). A Good Death? Report of the Second Newcastle Meeting on Laboratory Animal Euthanasia. Animals. 6(9). 50–50. 61 indexed citations

5.

Readman, Gareth D., Stewart F. Owen, Joanna C. Murrell, & T. G. Knowles. (2013). Do Fish Perceive Anaesthetics as Aversive?. PLoS ONE. 8(9). e73773–e73773. 128 indexed citations

6.

Owen, Stewart F., et al.. (2012). Does structural enrichment for toxicology studies improve zebrafish welfare?. Applied Animal Behaviour Science. 139(1-2). 143–150. 44 indexed citations

7.

Williams, Tim, Gareth D. Readman, & Stewart F. Owen. (2009). Key issues concerning environmental enrichment for laboratory-held fish species. Laboratory Animals. 43(2). 107–120. 62 indexed citations

8.

Leaver, Lisa A., et al.. (2009). Development of enrichment criteria for zebrafish(Danio rerio) used in laboratory studies. Comparative Biochemistry and Physiology Part A Molecular & Integrative Physiology. 153(2). S112–S112.

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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