Richard Allcock

1.2k total citations
30 papers, 666 citations indexed

About

Richard Allcock is a scholar working on Molecular Biology, Genetics and Epidemiology. According to data from OpenAlex, Richard Allcock has authored 30 papers receiving a total of 666 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 8 papers in Genetics and 7 papers in Epidemiology. Recurrent topics in Richard Allcock's work include Genomics and Phylogenetic Studies (6 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Genomics and Rare Diseases (3 papers). Richard Allcock is often cited by papers focused on Genomics and Phylogenetic Studies (6 papers), Inflammatory Myopathies and Dermatomyositis (4 papers) and Genomics and Rare Diseases (3 papers). Richard Allcock collaborates with scholars based in Australia, United States and United Kingdom. Richard Allcock's co-authors include Alexander D. Barrow, John Trowsdale, Simon Forbes, Stephan Beck, Frank van Bockxmeer, Nigel G. Laing, Graeme J. Hankey, Paul Norman, Konrad Jamrozik and Osvaldo P. Almeida and has published in prestigious journals such as PLoS ONE, International Journal of Epidemiology and European Journal of Immunology.

In The Last Decade

Richard Allcock

30 papers receiving 652 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Richard Allcock Australia 16 241 126 117 79 71 30 666
Cherié Butts United States 14 418 1.7× 128 1.0× 66 0.6× 83 1.1× 37 0.5× 25 828
Yiwei Lu China 17 257 1.1× 274 2.2× 163 1.4× 30 0.4× 90 1.3× 44 1.0k
Anthony J. Borg Australia 19 221 0.9× 229 1.8× 194 1.7× 61 0.8× 36 0.5× 51 1.1k
Lauren Richey United States 11 106 0.4× 137 1.1× 91 0.8× 48 0.6× 54 0.8× 24 576
Michael E. Cunningham United States 20 102 0.4× 169 1.3× 112 1.0× 135 1.7× 82 1.2× 43 1.1k
Jean‐Christophe Noël Belgium 15 188 0.8× 102 0.8× 69 0.6× 86 1.1× 40 0.6× 36 745
Toshinori Omi Japan 17 141 0.6× 330 2.6× 89 0.8× 158 2.0× 22 0.3× 69 1.0k
Yukiyasu Sato Japan 23 591 2.5× 268 2.1× 84 0.7× 103 1.3× 27 0.4× 73 1.4k
Misbahul Arfin Saudi Arabia 15 181 0.8× 84 0.7× 50 0.4× 68 0.9× 207 2.9× 43 615
Aguinaldo Luíz Simões Brazil 17 239 1.0× 211 1.7× 79 0.7× 252 3.2× 40 0.6× 79 927

Countries citing papers authored by Richard Allcock

Since Specialization
Citations

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

Fields of papers citing papers by Richard Allcock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Richard Allcock

This figure shows the co-authorship network connecting the top 25 collaborators of Richard Allcock. A scholar is included among the top collaborators of Richard Allcock 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 Richard Allcock. Richard Allcock 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.
Allcock, Richard, et al.. (2021). Longitudinal Survey of Fecal Microbiota in Healthy Dogs Administered a Commercial Probiotic. Frontiers in Veterinary Science. 8. 664318–664318. 9 indexed citations
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Harvey, Nicholas R., Cassie L. Albury, Shani Stuart, et al.. (2019). Ion torrent high throughput mitochondrial genome sequencing (HTMGS). PLoS ONE. 14(11). e0224847–e0224847. 11 indexed citations
5.
Dessauvagie, Benjamin F., G. Sterrett, Nathan T. Harvey, et al.. (2018). Genetic characterisation of molecular targets in carcinoma of unknown primary. Journal of Translational Medicine. 16(1). 185–185. 24 indexed citations
6.
Beasley, Aaron B., Timothy Isaacs, Muhammad A. Khattak, et al.. (2018). Clinical Application of Circulating Tumor Cells and Circulating Tumor DNA in Uveal Melanoma. JCO Precision Oncology. 2(2). 1–12. 43 indexed citations
7.
Davis, Mark R., Richard Allcock, & Nigel G. Laing. (2016). Next generation sequencing for neuromuscular disease in a diagnostic setting – The Perth custom neuromuscular gene panel 3 years on. Neuromuscular Disorders. 26. S161–S161. 2 indexed citations
8.
Haile, James, Matthew C. McDowell, Dáithí C. Murray, et al.. (2014). Thorough assessment of DNA preservation from fossil bone and sediments excavated from a late Pleistocenee-Holocene cave deposit on Kangaroo Island, South Australia. eSpace (Curtin University). 35 indexed citations
9.
Yau, Kyle S., Richard Allcock, Gianina Ravenscroft, et al.. (2014). G.P.18. Neuromuscular Disorders. 24(9-10). 799–800. 2 indexed citations
10.
Haile, James, Matthew C. McDowell, Dáithí C. Murray, et al.. (2013). Thorough assessment of DNA preservation from fossil bone and sediments excavated from a late Pleistocene–Holocene cave deposit on Kangaroo Island, South Australia. Quaternary Science Reviews. 84. 56–64. 1 indexed citations
11.
Faiz, Fathimath, Richard Allcock, Amanda J. Hooper, & Frank M. van Bockxmeer. (2013). Detection of variations and identifying genomic breakpoints for large deletions in the LDLR by Ion Torrent semiconductor sequencing. Atherosclerosis. 230(2). 249–255. 17 indexed citations
12.
Ravenscroft, Gianina, Elizabeth M. Thompson, Emily J. Todd, et al.. (2012). Whole exome sequencing in foetal akinesia expands the genotype–phenotype spectrum of GBE1 glycogen storage disease mutations. Neuromuscular Disorders. 23(2). 165–169. 29 indexed citations
13.
Scott, Adrian P., Nigel G. Laing, Frank Mastaglia, et al.. (2011). Recombination mapping of the susceptibility region for sporadic inclusion body myositis within the major histocompatibility complex. Journal of Neuroimmunology. 235(1-2). 77–83. 18 indexed citations
14.
Mastaglia, Frank, Merrilee Needham, Adrian P. Scott, et al.. (2009). Sporadic inclusion body myositis: HLA-DRB1 allele interactions influence disease risk and clinical phenotype. Neuromuscular Disorders. 19(11). 763–765. 43 indexed citations
15.
Almeida, Osvaldo P., Paul Norman, Richard Allcock, et al.. (2009). Polymorphisms of the CRP gene inhibit inflammatory response and increase susceptibility to depression: The Health in Men Study. International Journal of Epidemiology. 38(4). 1049–1059. 68 indexed citations
16.
Phipps, Maude E., Gurvinder Kaur, Marta Gut, et al.. (2009). The evolution and diversity of TNF block haplotypes in European, Asian and Australian Aboriginal populations. Genes and Immunity. 10(7). 607–615. 23 indexed citations
17.
Warrington, Nicole M., Richard Allcock, Frank van Bockxmeer, et al.. (2009). Matrix Metalloproteinase-2 Gene Variants and Abdominal Aortic Aneurysm. European Journal of Vascular and Endovascular Surgery. 38(2). 169–171. 9 indexed citations
18.
Allcock, Richard, Frank van Bockxmeer, Nicole M. Warrington, et al.. (2007). Polymorphisms of the Interleukin-6 Gene Promoter and Abdominal Aortic Aneurysm. European Journal of Vascular and Endovascular Surgery. 35(1). 31–36. 33 indexed citations
19.
Scott, Adrian P., Richard Allcock, Frank Mastaglia, et al.. (2006). Sporadic inclusion body myositis in Japanese is associated with the MHC ancestral haplotype 52.1. Neuromuscular Disorders. 16(5). 311–315. 17 indexed citations
20.
Herbison, Carly E., D. Sayer, M. Bellgard, et al.. (1999). Structure and Polymorphism of two Stress-Activated Protein Kinase Genes Centromeric of the MHC: SAPK2a and SAPK4. DNA sequence. 10(4-5). 229–243. 4 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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