William Tapper

12.8k total citations
81 papers, 2.3k citations indexed

About

William Tapper is a scholar working on Genetics, Molecular Biology and Hematology. According to data from OpenAlex, William Tapper has authored 81 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 44 papers in Genetics, 34 papers in Molecular Biology and 16 papers in Hematology. Recurrent topics in William Tapper's work include Genetic Associations and Epidemiology (24 papers), BRCA gene mutations in cancer (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). William Tapper is often cited by papers focused on Genetic Associations and Epidemiology (24 papers), BRCA gene mutations in cancer (12 papers) and Genetic Mapping and Diversity in Plants and Animals (11 papers). William Tapper collaborates with scholars based in United Kingdom, United States and Germany. William Tapper's co-authors include Andrew Collins, Newton E. Morton, Sarah Ennis, Nicholas C.P. Cross, Nikolas Maniatis, Jane Whitney Gibson, Xiayi Ke, Laura Chiecchio, Gareth J. Morgan and Gian Paolo Dagrada and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Blood.

In The Last Decade

William Tapper

79 papers receiving 2.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
William Tapper United Kingdom 25 1.0k 858 686 364 335 81 2.3k
Ian D. Dubé Canada 26 1.8k 1.8× 638 0.7× 1.1k 1.6× 391 1.1× 407 1.2× 69 2.9k
Janette Lamb United States 24 838 0.8× 487 0.6× 475 0.7× 308 0.8× 659 2.0× 45 2.6k
Serge Fichelson France 29 1.2k 1.2× 360 0.4× 1.1k 1.7× 339 0.9× 522 1.6× 65 2.5k
Giovanni Morrone Italy 26 1.1k 1.0× 224 0.3× 499 0.7× 471 1.3× 177 0.5× 58 2.1k
David Gallardo Spain 26 558 0.5× 501 0.6× 492 0.7× 557 1.5× 139 0.4× 112 2.1k
Tomohiko Taki Japan 36 2.4k 2.3× 303 0.4× 1.8k 2.7× 402 1.1× 432 1.3× 127 3.7k
Sarah E. Ball United Kingdom 25 1.7k 1.6× 535 0.6× 1.3k 1.9× 550 1.5× 549 1.6× 67 3.5k
Alison A. Bertuch United States 27 1.4k 1.4× 276 0.3× 343 0.5× 209 0.6× 206 0.6× 77 2.2k
Motoshi Ichikawa Japan 25 1.3k 1.3× 165 0.2× 1.1k 1.7× 343 0.9× 373 1.1× 102 2.6k
Gabriela M. Baerlocher Switzerland 31 2.3k 2.2× 463 0.5× 848 1.2× 531 1.5× 679 2.0× 104 4.8k

Countries citing papers authored by William Tapper

Since Specialization
Citations

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

Fields of papers citing papers by William Tapper

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of William Tapper

This figure shows the co-authorship network connecting the top 25 collaborators of William Tapper. A scholar is included among the top collaborators of William Tapper 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 William Tapper. William Tapper 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.
Verras, Georgios‐Ioannis, Zaed Hamady, Andrew Collins, & William Tapper. (2025). Utility of Polygenic Risk Scores (PRSs) in Predicting Pancreatic Cancer: A Systematic Review and Meta-Analysis of Common-Variant and Mixed Scores with Insights into Rare Variant Analysis. Cancers. 17(2). 241–241. 2 indexed citations
2.
Tapper, William, Joannah Score, Andrew Chase, et al.. (2025). Genome-wide analysis defines genetic determinants of MPN subtypes and identifies a sex-specific association at CDH22 / CD40. Blood. 146(26). 3228–3233.
3.
Tapper, William, et al.. (2023). The genomic landscape and clonal evolutionary trajectory of classical hairy cell leukemia. Leukemia. 37(4). 929–933. 4 indexed citations
4.
Gaastra, Ben, John H. Zhang, William Tapper, Diederik Bulters, & Ian Galea. (2023). Sphingosine-1-phosphate Signalling in Aneurysmal Subarachnoid Haemorrhage: Basic Science to Clinical Translation. Translational Stroke Research. 15(2). 352–363. 6 indexed citations
5.
Murray, Clare, Angela Simpson, Adnan Ćustović, et al.. (2021). Development of childhood asthma prediction models using machine learning approaches. Clinical and Translational Allergy. 11(9). e12076–e12076. 33 indexed citations
6.
Pengelly, Reuben J., Karen Pickard, Brendan Moran, et al.. (2018). Analysis of Mutation and Loss of Heterozygosity by Whole-Exome Sequencing Yields Insights into Pseudomyxoma Peritonei. Journal of Molecular Diagnostics. 20(5). 635–642. 18 indexed citations
7.
Weston-Bell, Nicola J., William Tapper, Jane Whitney Gibson, et al.. (2016). Exome Sequencing in Classic Hairy Cell Leukaemia Reveals Widespread Variation in Acquired Somatic Mutations between Individual Tumours Apart from the Signature BRAF V(600)E Lesion. PLoS ONE. 11(2). e0149162–e0149162. 18 indexed citations
8.
Khan, Sofia, Rainer Fagerholm, Sajjad Rafiq, et al.. (2015). Polymorphism at 19q13.41 Predicts Breast Cancer Survival Specifically after Endocrine Therapy. Clinical Cancer Research. 21(18). 4086–4096. 11 indexed citations
9.
Rafiq, Sajjad, Sofia Khan, William Tapper, et al.. (2014). A Genome Wide Meta-Analysis Study for Identification of Common Variation Associated with Breast Cancer Prognosis. PLoS ONE. 9(12). e101488–e101488. 24 indexed citations
10.
Tapper, William, Nicola Foulds, Nicholas C.P. Cross, et al.. (2014). Megalencephaly Syndromes: Exome Pipeline Strategies for Detecting Low-Level Mosaic Mutations. PLoS ONE. 9(1). e86940–e86940. 16 indexed citations
11.
Rafiq, Sajjad, William Tapper, Andrew Collins, et al.. (2013). Identification of Inherited Genetic Variations Influencing Prognosis in Early-Onset Breast Cancer. Cancer Research. 73(6). 1883–1891. 28 indexed citations
12.
Copson, Ellen, Tom Maishman, Susan M. Gerty, et al.. (2013). Ethnicity and outcome of young breast cancer patients in the United Kingdom: the POSH study. British Journal of Cancer. 110(1). 230–241. 56 indexed citations
13.
Boyd, Kevin, Fiona M. Ross, Laura Chiecchio, et al.. (2011). Gender Disparities in the Tumor Genetics and Clinical Outcome of Multiple Myeloma. Cancer Epidemiology Biomarkers & Prevention. 20(8). 1703–1707. 33 indexed citations
14.
Boyd, Kevin, Fiona M. Ross, Brian A. Walker, et al.. (2011). Mapping of Chromosome 1p Deletions in Myeloma Identifies FAM46C at 1p12 and CDKN2C at 1p32.3 as Being Genes in Regions Associated with Adverse Survival. Clinical Cancer Research. 17(24). 7776–7784. 131 indexed citations
15.
Gibson, Jane Whitney, et al.. (2011). Composite likelihood-based meta-analysis of breast cancer association studies. Journal of Human Genetics. 56(5). 377–382. 5 indexed citations
16.
Boyd, Kevin, Fiona M. Ross, William Tapper, et al.. (2011). The clinical impact and molecular biology of del(17p) in multiple myeloma treated with conventional or thalidomide‐based therapy. Genes Chromosomes and Cancer. 50(10). 765–774. 50 indexed citations
17.
Gilbert, Rodney D., Claire Turner, Jane Whitney Gibson, et al.. (2008). Mutations in phospholipase C epsilon 1 are not sufficient to cause diffuse mesangial sclerosis. Kidney International. 75(4). 415–419. 22 indexed citations
18.
Maniatis, Nikolas, Andrew Collins, Jane Whitney Gibson, et al.. (2004). Positional Cloning by Linkage Disequilibrium. The American Journal of Human Genetics. 74(5). 846–855. 46 indexed citations
19.
Collins, Andrew, et al.. (2002). Properties of linkage disequilibrium (LD) maps. Proceedings of the National Academy of Sciences. 99(26). 17004–17007. 56 indexed citations
20.
Sharp, Andrew J., William Tapper, Peter Strike, D Robinson, & P. A. Jacobs. (2002). LINE repeats are associated with the spread of X inactivation. ePrints Soton (University of Southampton). 2 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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