E. J. Peeler

3.5k total citations
69 papers, 2.3k citations indexed

About

E. J. Peeler is a scholar working on Immunology, Agronomy and Crop Science and Ecology. According to data from OpenAlex, E. J. Peeler has authored 69 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Immunology, 27 papers in Agronomy and Crop Science and 22 papers in Ecology. Recurrent topics in E. J. Peeler's work include Aquaculture disease management and microbiota (35 papers), Animal Disease Management and Epidemiology (27 papers) and Parasite Biology and Host Interactions (14 papers). E. J. Peeler is often cited by papers focused on Aquaculture disease management and microbiota (35 papers), Animal Disease Management and Epidemiology (27 papers) and Parasite Biology and Host Interactions (14 papers). E. J. Peeler collaborates with scholars based in United Kingdom, Italy and Norway. E. J. Peeler's co-authors include Alexander G. Murray, Mark Thrush, Birgit Oidtmann, Stephen W. Feist, Rodolphe E. Gozlan, J. Robert Britton, Laurence Miossec, Gordon H. Copp, Paul J. Midtlyng and R. Allan Reese and has published in prestigious journals such as Nature Communications, PLoS ONE and Journal of Applied Ecology.

In The Last Decade

E. J. Peeler

67 papers receiving 2.2k citations

Peers

E. J. Peeler

IMMUN

ECOLO

NLC

GPC

AS

Birgit Oidtmann United Kingdom

Martin Krkošek Canada

K. Larry Hammell Canada

H. D. Rodger Ireland

Mark Thrush United Kingdom

Hildegunn Viljugrein Norway

M.Y. Engelsma Netherlands

Jørgen Ødegård Norway

Stephen W. Feist United Kingdom

B. L. Munday Australia

Birgit Oidtmann United Kingdom

E. J. Peeler

821 ×0.9

IMMUN

978 ×1.0

ECOLO

254 ×0.5

NLC

232 ×0.5

GPC

350 ×0.8

AS

Citations per year, relative to E. J. Peeler E. J. Peeler (= 1×) peers Birgit Oidtmann

Countries citing papers authored by E. J. Peeler

Since Specialization

Citations

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

Fields of papers citing papers by E. J. Peeler

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. J. Peeler

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

All Works

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20 of 20 papers shown

1.

Hill, Richard, Grant D. Stentiford, David I. Walker, et al.. (2024). Realising a global One Health disease surveillance approach: insights from wastewater and beyond. Nature Communications. 15(1). 5324–5324. 19 indexed citations

2.

Guilder, James, David Ryder, Nick Taylor, et al.. (2023). The aquaculture disease network model (AquaNet-Mod): A simulation model to evaluate disease spread and controls for the salmonid industry in England and Wales. Epidemics. 44. 100711–100711. 3 indexed citations

3.

Peeler, E. J., et al.. (2023). Farm level bio-economic modelling of aquatic animal disease and health interventions. Preventive Veterinary Medicine. 221. 106055–106055. 1 indexed citations

4.

Foster, Rachel, E. J. Peeler, Jamie Bojko, et al.. (2021). Pathogens co-transported with invasive non-native aquatic species: implications for risk analysis and legislation. NeoBiota. 69. 79–102. 18 indexed citations

5.

Foster, Rachel, E. J. Peeler, Jamie Bojko, et al.. (2021). Pathogens co-transported with invasive non-native aquatic species: implications for risk analysis and legislation. NeoBiota. 69. 79–102. 3 indexed citations

6.

Tidbury, Hannah J., et al.. (2020). Comparative assessment of live cyprinid and salmonid movement networks in England and Wales. Preventive Veterinary Medicine. 185. 105200–105200. 5 indexed citations

7.

Oidtmann, Birgit, E. J. Peeler, Mark Thrush, et al.. (2014). Expert consultation on risk factors for introduction of infectious pathogens into fish farms. Preventive Veterinary Medicine. 115(3-4). 238–254. 27 indexed citations

8.

Oidtmann, Birgit, Scott E. LaPatra, David W. Verner–Jeffreys, et al.. (2013). Differential characterization of emerging skin diseases of rainbow trout – a standardized approach to capturing disease characteristics and development of case definitions. Journal of Fish Diseases. 36(11). 921–937. 31 indexed citations

9.

Thrush, Mark & E. J. Peeler. (2012). A Model to Approximate Lake Temperature from Gridded Daily Air Temperature Records and Its Application in Risk Assessment for the Establishment of Fish Diseases in the UK. Transboundary and Emerging Diseases. 60(5). 460–471. 13 indexed citations

10.

Oidtmann, Birgit, et al.. (2011). Ranking freshwater fish farms for the risk of pathogen introduction and spread. Preventive Veterinary Medicine. 102(4). 329–340. 32 indexed citations

11.

Peeler, E. J., et al.. (2011). The application of epidemiology in aquatic animal health -opportunities and challenges. Veterinary Research. 42(1). 94–94. 80 indexed citations

12.

Rodgers, Chris, Chadag Vishnumurthy Mohan, & E. J. Peeler. (2011). The spread of pathogens through trade in aquatic animals and their products. Revue Scientifique et Technique de l OIE. 30(1). 241–256. 51 indexed citations

13.

Thrush, Mark, et al.. (2011). Monitoring Emerging Diseases of Fish and Shellfish Using Electronic Sources. Transboundary and Emerging Diseases. 59(5). 385–394. 9 indexed citations

14.

Hill, Barry, Peter Dixon, Birgit Oidtmann, et al.. (2010). Epidemiology of different agents causing disease in aquatic animals. EFSA Supporting Publications. 7(1). 3 indexed citations

15.

Marcos‐López, Mar, P. Gale, Birgit Oidtmann, & E. J. Peeler. (2010). Assessing the Impact of Climate Change on Disease Emergence in Freshwater Fish in the United Kingdom. Transboundary and Emerging Diseases. 57(5). 293–304. 115 indexed citations

16.

St‐Hilaire, Sophie, et al.. (2009). Tool for Estimating the Risk of Anthropogenic Spread of Batrachochytrium denrobatidis Between Water Bodies. EcoHealth. 6(1). 16–19. 6 indexed citations

17.

Taylor, Nick, et al.. (2009). Koi herpesvirus: distribution and prospects for control in England and Wales. Journal of Fish Diseases. 33(3). 221–230. 41 indexed citations

18.

Sharkey, Kieran J., Carmen Fernández, Kenton L. Morgan, et al.. (2006). Pair-level approximations to the spatio-temporal dynamics of epidemics on asymmetric contact networks. Journal of Mathematical Biology. 53(1). 61–85. 34 indexed citations

19.

Gozlan, Rodolphe E., E. J. Peeler, Matt Longshaw, Sophie St‐Hilaire, & Stephen W. Feist. (2006). Effect of microbial pathogens on the diversity of aquatic populations, notably in Europe. Microbes and Infection. 8(5). 1358–1364. 75 indexed citations

20.

Murray, Alexander G. & E. J. Peeler. (2004). A framework for understanding the potential for emerging diseases in aquaculture. Preventive Veterinary Medicine. 67(2-3). 223–235. 258 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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