Anthony J. Brookes

34.8k total citations · 1 hit paper
149 papers, 6.3k citations indexed

About

Anthony J. Brookes is a scholar working on Molecular Biology, Genetics and Physiology. According to data from OpenAlex, Anthony J. Brookes has authored 149 papers receiving a total of 6.3k indexed citations (citations by other indexed papers that have themselves been cited), including 100 papers in Molecular Biology, 59 papers in Genetics and 22 papers in Physiology. Recurrent topics in Anthony J. Brookes's work include Genomics and Rare Diseases (26 papers), Genetic Associations and Epidemiology (23 papers) and Bioinformatics and Genomic Networks (19 papers). Anthony J. Brookes is often cited by papers focused on Genomics and Rare Diseases (26 papers), Genetic Associations and Epidemiology (23 papers) and Bioinformatics and Genomic Networks (19 papers). Anthony J. Brookes collaborates with scholars based in United Kingdom, Sweden and United States. Anthony J. Brookes's co-authors include Magnus Jobs, Jonathan A. Prince, W. Mathias Howell, Lars Feuk, David J. Porteous, Kaj Blennow, Ulf Gyllensten, Rebecca S. Devon, Tim Beck and Guðmundur Á. Þórisson and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Genetics.

In The Last Decade

Anthony J. Brookes

145 papers receiving 6.1k citations

Hit Papers

align trajectories

Peers

Anthony J. Brookes

MB

GENET

PHYSI

PS

IMMUN

Timothy J. Aitman United Kingdom

Andrew D. Johnson United States

Janet A. Warrington United States

Grier P. Page United States

Ken Matsumoto Japan

Jean Muller France

Tim Wiltshire United States

Ping Liang United States

Helen Parkinson United Kingdom

Gregory R. Grant United States

Timothy J. Aitman United Kingdom

Anthony J. Brookes

3.2k ×0.9

MB

2.6k ×1.4

GENET

839 ×0.8

PHYSI

392 ×0.8

PS

894 ×1.9

IMMUN

Citations per year, relative to Anthony J. Brookes Anthony J. Brookes (= 1×) peers Timothy J. Aitman

Countries citing papers authored by Anthony J. Brookes

Since Specialization

Citations

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

Fields of papers citing papers by Anthony J. Brookes

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Anthony J. Brookes

This figure shows the co-authorship network connecting the top 25 collaborators of Anthony J. Brookes. A scholar is included among the top collaborators of Anthony J. Brookes 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 Anthony J. Brookes. Anthony J. Brookes 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.

Rambla, Jordi, Michael Baudis, Tim Beck, et al.. (2022). Beacon v2 and Beacon networks: A “lingua franca” for federated data discovery in biomedical genomics, and beyond. Human Mutation. 43(6). 791–799. 22 indexed citations

2.

Freeman, Peter, et al.. (2017). VariantValidator: Accurate validation, mapping, and formatting of sequence variation descriptions. Human Mutation. 39(1). 61–68. 99 indexed citations

3.

Brookes, Anthony J., et al.. (2017). Distal intestinal obstruction syndrome and colonic pathologies in cystic fibrosis. British Journal of Hospital Medicine. 78(1). 38–43. 4 indexed citations

4.

Adamusiak, Tomasz, Helen Parkinson, Juha Muilu, et al.. (2012). Observ-OM and Observ-TAB: Universal syntax solutions for the integration, search, and exchange of phenotype and genotype information. Human Mutation. 33(5). 867–873. 16 indexed citations

5.

Dalgleish, Raymond, et al.. (2012). Solving bottlenecks in data sharing in the life sciences. Human Mutation. 33(10). 1494–1496. 7 indexed citations

6.

Mitropoulou, Christina, Adam Webb, Konstantinos Mitropoulos, Anthony J. Brookes, & George P. Patrinos. (2010). Locus-specific database domain and data content analysis: evolution and content maturation toward clinical usea. Human Mutation. 31(10). 1109–1116. 31 indexed citations

7.

Hollox, Edward J., John Barber, Anthony J. Brookes, & John A.L. Armour. (2008). Defensins and the dynamic genome: What we can learn from structural variation at human chromosome band 8p23.1. Genome Research. 18(11). 1686–1697. 76 indexed citations

8.

Lorentzen, Johnny C., Liselotte Bäckdahl, Jian Guo, et al.. (2007). Association of arthritis with a gene complex encoding C‐type lectin–like receptors. Arthritis & Rheumatism. 56(8). 2620–2632. 75 indexed citations

9.

Abecasis, Gonçalo R., Paul Kwong-Hang Tam, Carlos D. Bustamante, et al.. (2007). Human Genome Variation 2006: emerging views on structural variation and large-scale SNP analysis. Nature Genetics. 39(2). 153–155. 19 indexed citations

10.

Hopkins, Katie L., et al.. (2007). DNA Diagnostics by Surface-Bound Melt-Curve Reactions. Journal of Molecular Diagnostics. 9(1). 30–41. 12 indexed citations

11.

Liu, Nianjun, Sarah L. Sawyer, Namita Mukherjee, et al.. (2004). Haplotype block structures show significant variation among populations. Genetic Epidemiology. 27(4). 385–400. 34 indexed citations

12.

Feuk, Lars, Boo Johansson, Nenad Bogdanović, et al.. (2004). Variants of CYP46A1 may interact with age and APOE to influence CSF A�42 levels in Alzheimer?s disease. Human Genetics. 114(6). 581–587. 53 indexed citations

13.

Chalmers, Katy, Niels Andreasen, Nenad Bogdanović, et al.. (2004). Sequence variants of IDE are associated with the extent of β-amyloid deposition in the Alzheimer's disease brain. Neurobiology of Aging. 26(6). 795–802. 41 indexed citations

14.

Fredman, David, et al.. (2004). DFold: PCR design that minimizes secondary structure and optimizes downstream genotyping applications. Human Mutation. 24(1). 1–8. 18 indexed citations

15.

Brookes, Anthony J.. (2001). HGBASE – a unified human SNP database. Trends in Genetics. 17(4). 229–229. 5 indexed citations

16.

Prince, Jonathan A., Lars Feuk, Magnus Jobs, et al.. (2001). Robust and Accurate Single Nucleotide Polymorphism Genotyping by Dynamic Allele-Specific Hybridization (DASH): Design Criteria and Assay Validation. Genome Research. 11(1). 152–162. 147 indexed citations

17.

Hattori, Nobutaka, Hiroto Matsumine, Shuichi Asakawa, et al.. (1998). Point Mutations (Thr240Arg and Ala311Stop) in theParkinGene. Biochemical and Biophysical Research Communications. 249(3). 754–758. 151 indexed citations

18.

Shibasaki, Yoshiro, Rebecca S. Devon, Euan M. Slorach, et al.. (1995). Catch-linker + PCR labeling: a simple method to generate fluorescence in situ hybridization probes from yeast artificial chromosomes.. Genome Research. 4(4). 209–211. 4 indexed citations

19.

Watson, James, Euan M. Slorach, John Maule, et al.. (1995). Human repeat-mediated integration of selectable markers into somatic cell hybrids.. Genome Research. 5(5). 444–452. 6 indexed citations

20.

Brookes, Anthony J., et al.. (1994). Cloning the shared components of complex DNA resources. Human Molecular Genetics. 3(11). 2011–2017. 7 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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