Andy Law

6.4k total citations
66 papers, 2.2k citations indexed

About

Andy Law is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Andy Law has authored 66 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Genetics, 28 papers in Molecular Biology and 11 papers in Plant Science. Recurrent topics in Andy Law's work include Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetic and phenotypic traits in livestock (21 papers) and Genomics and Phylogenetic Studies (7 papers). Andy Law is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (21 papers), Genetic and phenotypic traits in livestock (21 papers) and Genomics and Phylogenetic Studies (7 papers). Andy Law collaborates with scholars based in United Kingdom, United States and Belgium. Andy Law's co-authors include David W. Burt, Dawn Windsor, David Morrice, Ian Dunn, P.M. Hocking, Alan Archibald, Chris Haley, John Woolliams, Henrick Horita and Kim Middleton and has published in prestigious journals such as Nature, Nucleic Acids Research and Nature Communications.

In The Last Decade

Andy Law

63 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andy Law United Kingdom 27 1.2k 658 498 421 316 66 2.2k
Christine Renard France 25 785 0.7× 380 0.6× 422 0.8× 226 0.5× 476 1.5× 56 1.8k
Keith W. Savin Australia 22 937 0.8× 509 0.8× 244 0.5× 657 1.6× 116 0.4× 37 1.9k
Jonathan E. Beever United States 25 1.2k 1.0× 705 1.1× 156 0.3× 398 0.9× 161 0.5× 86 2.0k
Mengjin Zhu China 21 970 0.8× 1.0k 1.5× 218 0.4× 511 1.2× 277 0.9× 106 2.4k
Dénis Laloë France 28 2.0k 1.7× 1.1k 1.6× 394 0.8× 585 1.4× 180 0.6× 97 3.5k
Lujiang Qu China 27 1.1k 0.9× 649 1.0× 1.1k 2.2× 155 0.4× 314 1.0× 129 2.3k
Douglas N. Foster United States 30 739 0.6× 1.4k 2.1× 298 0.6× 209 0.5× 630 2.0× 99 3.3k
Claus B. Jørgensen Denmark 24 884 0.7× 747 1.1× 311 0.6× 126 0.3× 154 0.5× 75 2.1k
Inger Edfors‐Lilja Sweden 21 1.1k 0.9× 410 0.6× 500 1.0× 293 0.7× 215 0.7× 41 1.8k
Zhenfang Wu China 30 1.5k 1.2× 1.6k 2.4× 509 1.0× 229 0.5× 297 0.9× 219 3.2k

Countries citing papers authored by Andy Law

Since Specialization
Citations

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

Fields of papers citing papers by Andy Law

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andy Law

This figure shows the co-authorship network connecting the top 25 collaborators of Andy Law. A scholar is included among the top collaborators of Andy Law 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 Andy Law. Andy Law 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.
Turtle, Lance, Thomas M Drake, Mathew Thorpe, et al.. (2024). Changes in hospital mortality in patients with cancer during the COVID-19 pandemic (ISARIC-CCP-UK): a prospective, multicentre cohort study. The Lancet Oncology. 25(5). 636–648. 5 indexed citations
2.
Rong, Enguang, Simon Lillico, Andy Law, et al.. (2023). GARP and EARP are required for efficient BoHV-1 replication as identified by a genome wide CRISPR knockout screen. PLoS Pathogens. 19(12). e1011822–e1011822. 6 indexed citations
3.
Wang, Bo, Andy Law, Tim Regan, et al.. (2022). Systematic comparison of ranking aggregation methods for gene lists in experimental results. Bioinformatics. 38(21). 4927–4933. 6 indexed citations
4.
Flannery, John, Barbara Shih, Ismar R. Haga, et al.. (2021). A novel strain of lumpy skin disease virus causes clinical disease in cattle in Hong Kong. Transboundary and Emerging Diseases. 69(4). e336–e343. 39 indexed citations
5.
Parkinson, Nick, Max Head Fourman, Bo Wang, et al.. (2020). Dynamic data-driven meta-analysis for prioritisation of host genes implicated in COVID-19. Scientific Reports. 10(1). 22303–22303. 26 indexed citations
6.
Hocking, P.M., et al.. (2012). Many quantitative trait loci for feather growth in an F2broiler×layer cross collocate with body weight loci. British Poultry Science. 53(2). 162–167. 2 indexed citations
7.
Wilkinson, Samantha, Pamela Wiener, Alan Archibald, et al.. (2011). Evaluation of approaches for identifying population informative markers from high density SNP Chips. BMC Genetics. 12(1). 45–45. 83 indexed citations
8.
Graham, Martin, Jessie Kennedy, Trevor Paterson, & Andy Law. (2011). Visualising Errors in Animal Pedigree Genotype Data. Computer Graphics Forum. 30(3). 1011–1020. 5 indexed citations
9.
Knott, Sara, et al.. (2010). Overlap of quantitative trait loci for early growth rate, and for body weight and age at onset of sexual maturity in chickens. Reproduction. 141(3). 381–389. 33 indexed citations
10.
Paterson, Trevor & Andy Law. (2009). An XML transfer schema for exchange of genomic and genetic mapping data: implementation as a web service in a Taverna workflow. BMC Bioinformatics. 10(1). 252–252. 5 indexed citations
11.
Baxter, R., Nicola Hastings, Andy Law, & Elizabeth Glass. (2008). A rapid and robust sequence‐based genotyping method for BoLA‐DRB3 alleles in large numbers of heterozygous cattle. Animal Genetics. 39(5). 561–563. 86 indexed citations
12.
Morrice, David, et al.. (2007). Quantitative trait loci for bone traits segregating independently of those for growth in an F<sub>2</sub> broiler × layer cross. Cytogenetic and Genome Research. 117(1-4). 296–304. 19 indexed citations
13.
Cabrera, Claudia, Ian Dunn, Mark Fell, et al.. (2006). Application of genetical genomics to a marked QTL in poultry.. 1 indexed citations
14.
Russell, George C., Alan Archibald, Chris Haley, & Andy Law. (2003). The pig genetic diversity database and the www. Archivos de Zootecnia. 52(198). 165–172. 6 indexed citations
15.
Miltiadou, Despoina, Andy Law, & George C. Russell. (2003). Establishment of a sequence‐based typing system for BoLA‐DRB3 exon 2. Tissue Antigens. 62(1). 55–65. 43 indexed citations
16.
Koning, Dirk‐Jan de, Dawn Windsor, P.M. Hocking, et al.. (2003). Quantitative trait locus detection in commercial broiler lines using candidate regions1. Journal of Animal Science. 81(5). 1158–1165. 56 indexed citations
17.
Law, Andy & Alan Archibald. (2000). Farm animal genome databases. Briefings in Bioinformatics. 1(2). 151–160. 25 indexed citations
18.
Arakawa, Hiroshi, et al.. (2000). A Large Database of Chicken Bursal ESTs as a Resource for the Analysis of Vertebrate Gene Function. Genome Research. 10(12). 2062–2069. 21 indexed citations
19.
Burt, David W., Ian Dunn, Andy Law, et al.. (1999). The dynamics of chromosome evolution in birds and mammals. Nature. 402(6760). 411–413. 232 indexed citations
20.
Law, Andy, Gwen Baxter, D.N. Logue, T. O’Shea, & R. Webb. (1992). Evidence for the action of bovine follicular fluid factor(s) other than inhibin in suppressing follicular development and delaying oestrus in heifers. Reproduction. 96(2). 603–616. 76 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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