William Tapper

13.0k citations
83 papers · 2.4k · h-index 26

Impact in

  • Hematology top 1%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
  • Genetics top 2%
    • Genetic Associations and Epidemiology
    • Genetic Mapping and Diversity in Plants and Animals
    • Myeloproliferative Neoplasms: Diagnosis and Treatment
    • Genetic and phenotypic traits in livestock
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genetic Associations and Epidemiology 24
    • Myeloproliferative Neoplasms: Diagnosis and Treatment 10
    • Genetic Mapping and Diversity in Plants and Animals 9
    • BRCA gene mutations in cancer 9
    • Genomic variations and chromosomal abnormalities 7

William Tapper

79 papers receiving 2.3k citations

Peers

William Tapper
Comparison fields: 5 of 113
  • Hematology 664
  • Genetics 835
  • Genetics 300
  • Cancer Research 255
  • Molecular Biology 916
Replace Janette Lamb with:
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Citations per field
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Citations per year

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-authors

The 25 scholars most cited alongside William Tapper, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with William Tapper Line = papers co-authored together William Tapper links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 83 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011237
2 2004147
3 2002143
4 2011135
5 2020124
6 201299
7 200392
8 200280
9 201074
10 201472
11 200570
12 200361
13 201359
14 202159
15 202253
16 201452
17 201151
18 200448
19 200844
20 202136

About William Tapper

William Tapper is a scholar working on Genetics, Molecular Biology, Hematology, Genetics and Cancer Research, having authored 83 papers that have together received 2.4k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (24 papers), Myeloproliferative Neoplasms: Diagnosis and Treatment (10 papers), Genetic Mapping and Diversity in Plants and Animals (9 papers), BRCA gene mutations in cancer (9 papers), Genomic variations and chromosomal abnormalities (7 papers), Chronic Myeloid Leukemia Treatments (6 papers), Multiple Myeloma Research and Treatments (6 papers) and Acute Myeloid Leukemia Research (6 papers). The work is most often cited by research in Hematology (664 citations), Genetics (835 citations), Genetics (300 citations), Cancer Research (255 citations) and Molecular Biology (916 citations). William Tapper has collaborated with scholars based in United Kingdom, United States and Germany. Frequent co-authors include Andrew Collins, Newton E. Morton, Sarah Ennis, Nicholas C.P. Cross, Nikolas Maniatis, Jane Whitney Gibson, Xiayi Ke, Zoë J. Konn, Kevin Boyd and Gareth J. Morgan. Their work appears in journals such as Leukemia, Blood, Proceedings of the National Academy of Sciences, PLoS ONE and Cancer Research.

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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