E. A. Goodall

946 total citations
48 papers, 770 citations indexed

About

E. A. Goodall is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology. According to data from OpenAlex, E. A. Goodall has authored 48 papers receiving a total of 770 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Agronomy and Crop Science, 10 papers in Genetics and 7 papers in Animal Science and Zoology. Recurrent topics in E. A. Goodall's work include Genetic and phenotypic traits in livestock (10 papers), Agricultural Economics and Policy (6 papers) and Animal Nutrition and Physiology (6 papers). E. A. Goodall is often cited by papers focused on Genetic and phenotypic traits in livestock (10 papers), Agricultural Economics and Policy (6 papers) and Animal Nutrition and Physiology (6 papers). E. A. Goodall collaborates with scholars based in United Kingdom, Iran and United States. E. A. Goodall's co-authors include S. G. McIlroy, C.H. McMurray, Danny Bruce, F. D. Menzies, M. S. McNulty, D. A. Rice, R.M. McCracken, D. Glenn Kennedy, Tara Moore and Joan A. Smyth and has published in prestigious journals such as Aquaculture, British Journal of Ophthalmology and Computers and Electronics in Agriculture.

In The Last Decade

E. A. Goodall

47 papers receiving 640 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
E. A. Goodall United Kingdom 17 336 190 144 141 80 48 770
G. P. Martineau Canada 17 417 1.2× 133 0.7× 373 2.6× 126 0.9× 53 0.7× 56 858
L. Kirk Clark United States 20 296 0.9× 212 1.1× 199 1.4× 76 0.5× 119 1.5× 55 939
Ernesto A. Gómez Spain 21 470 1.4× 282 1.5× 82 0.6× 153 1.1× 61 0.8× 48 987
C. F. Parker United States 18 306 0.9× 294 1.5× 361 2.5× 205 1.5× 41 0.5× 44 836
Androniki Psifidi United Kingdom 18 385 1.1× 144 0.8× 127 0.9× 241 1.7× 69 0.9× 68 1.0k
Michael R. Wilson Canada 15 152 0.5× 107 0.6× 208 1.4× 77 0.5× 29 0.4× 35 578
Susumu Makimura Japan 16 132 0.4× 145 0.8× 244 1.7× 45 0.3× 121 1.5× 52 849
D. Zwart Netherlands 18 150 0.4× 103 0.5× 107 0.7× 84 0.6× 68 0.8× 56 777
E. Bhebhe Zimbabwe 18 165 0.5× 199 1.0× 297 2.1× 136 1.0× 28 0.3× 35 744
G. de Vries Reilingh Netherlands 22 680 2.0× 142 0.7× 347 2.4× 101 0.7× 191 2.4× 42 1.1k

Countries citing papers authored by E. A. Goodall

Since Specialization
Citations

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

Fields of papers citing papers by E. A. Goodall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of E. A. Goodall

This figure shows the co-authorship network connecting the top 25 collaborators of E. A. Goodall. A scholar is included among the top collaborators of E. A. Goodall 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. A. Goodall. E. A. Goodall 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.
Goodall, E. A., Jonathan E. Moore, & Tara Moore. (2009). The estimation of approximate sample size requirements necessary for clinical and epidemiological studies in vision sciences. Eye. 23(7). 1589–1597. 14 indexed citations
3.
Moore, John E., Joanna E. Graham, E. A. Goodall, et al.. (2008). Concordance between common dry eye diagnostic tests. British Journal of Ophthalmology. 93(1). 66–72. 57 indexed citations
4.
Goodall, E. A., et al.. (2007). Pathogen or commensal: a PCR based study of ocular surface bacteria in normal and dry eyes. Acta Ophthalmologica Scandinavica. 85(s240). 0–0. 1 indexed citations
5.
Menzies, F. D., et al.. (2003). Risk factors for toxic mastitis in cows. Veterinary Record. 152(11). 319–322. 7 indexed citations
6.
Crockford, T., et al.. (1999). Aspects of the epizootiology of pancreas disease in farmed Atlantic salmon Salmo salar in Ireland. Diseases of Aquatic Organisms. 36(2). 113–119. 44 indexed citations
7.
Menzies, F. D., et al.. (1998). An update on the epidemiology of contact dermatitis in commercial broilers. Avian Pathology. 27(2). 174–180. 21 indexed citations
8.
Pollock, J.M., J. McNair, S. Kennedy, et al.. (1994). Effects of dietary vitamin E and selenium on in vitro cellular immune responses in cattle. Research in Veterinary Science. 56(1). 100–107. 26 indexed citations
9.
Menzies, F. D., E. A. Goodall, & Subhashni Taylor. (1994). The epidemiology of Ascaris suum infections in pigs in Northern Ireland, 1969–1991. British Veterinary Journal. 150(2). 165–172. 9 indexed citations
10.
McIlroy, S. G., E. A. Goodall, D. A. Rice, M. S. McNulty, & D. Glenn Kennedy. (1993). Improved performance in commercial broiler flocks with subclinical infectious bursal disease when fed diets containing increased concentrations of vitamin E. Avian Pathology. 22(1). 81–94. 43 indexed citations
11.
McIlroy, S. G., E. A. Goodall, Danny Bruce, R.M. McCracken, & M. S. McNulty. (1992). The cost benefit of vaccinating broiler flocks against subclinical infectious bursal disease. Avian Pathology. 21(1). 65–76. 12 indexed citations
12.
McIlroy, S. G., M. S. McNulty, Danny Bruce, et al.. (1992). Economic Effects of Clinical Chicken Anemia Agent Infection on Profitable Broiler Production. Avian Diseases. 36(3). 566–566. 51 indexed citations
13.
McIlroy, S. G., E. A. Goodall, D. A. Stewart, & R.M. McCracken. (1990). Investigating the epidemiology of disease using a computerised system for slaughterhouse condemnation data.. 43(2). 36–39. 2 indexed citations
14.
Bruce, Danny, S. G. McIlroy, & E. A. Goodall. (1990). Epidemiology of a contact dermatitis of broilers. Avian Pathology. 19(3). 523–537. 45 indexed citations
15.
Goodall, E. A., et al.. (1989). Influence of dietary phosphorus on the performance of lactating dairy cattle. The Journal of Agricultural Science. 112(3). 303–311. 31 indexed citations
16.
Goodall, E. A., et al.. (1988). A computerised management information system to monitor annual milk production. Agricultural Systems. 26(3). 231–240. 5 indexed citations
17.
McIlroy, S. G., E. A. Goodall, D. A. Stewart, & R.M. McCracken. (1988). An integrated computerised data analysis system for the evaluation of diseases in production animal populations. Computers and Electronics in Agriculture. 3(2). 147–156. 8 indexed citations
18.
McIlroy, S. G., E. A. Goodall, & C.H. McMurray. (1987). A contact dermatitis of broilers ‐epidemiological findings. Avian Pathology. 16(1). 93–105. 70 indexed citations
19.
Goodall, E. A.. (1986). A note on the use of a categorical variable to explain seasonality deviation from the lactation curve. Animal Science. 42(1). 153–155. 5 indexed citations
20.
Goodall, E. A., et al.. (1984). A note on a stochastic model to describe the milk yield of a dairy cow. Animal Science. 38(1). 133–136. 22 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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