William E. Pierceall

3.8k citations
55 papers · 3.1k · h-index 28

Impact in

  • Hematology top 2%
    • Multiple Myeloma Research and Treatments
    • Acute Myeloid Leukemia Research
    • Skin Protection and Aging

Papers in

    • Multiple Myeloma Research and Treatments 14
    • Acute Myeloid Leukemia Research 10
    • Cancer-related Molecular Pathways 5

William E. Pierceall

55 papers receiving 3k citations

Peers

William E. Pierceall
Comparison fields: 5 of 100
  • Hematology 583
  • Dermatology 318
  • Oncology 707
  • Cancer Research 353
  • Molecular Biology 875
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Citations per field
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Citations per year

Countries citing papers authored by William E. Pierceall

Since Specialization
Citations

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

Fields of papers citing papers by William E. Pierceall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside William E. Pierceall, 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 E. Pierceall Line = papers co-authored together William E. Pierceall links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2000440
2 1990317
3 1991236
4 2012182
5 2014172
6 2019164
7
High frequency of p53 mutations in ultraviolet radiation-induced murine skin tumors: evidence for strand bias and tumor heterogeneity.
1993146
8
Frequent alterations in E-cadherin and alpha- and beta-catenin expression in human breast cancer cell lines.
1995121
9 1991113
10 2020101
11 199986
12 201680
13 202071
14 201463
15 201258
16
N-ras mutation in ultraviolet radiation-induced murine skin cancers.
199252
17 199149
18 201349
19 202043
20 202143

About William E. Pierceall

William E. Pierceall is a scholar working on Hematology, Oncology, Cancer Research, Molecular Biology and Dermatology, having authored 55 papers that have together received 3.1k indexed citations. Recurring topics across this work include Multiple Myeloma Research and Treatments (14 papers), Acute Myeloid Leukemia Research (10 papers), Cancer-related Molecular Pathways (5 papers), Nonmelanoma Skin Cancer Studies (5 papers), Cell death mechanisms and regulation (5 papers), Skin Protection and Aging (3 papers), Breast Cancer Treatment Studies (3 papers) and Clinical Laboratory Practices and Quality Control (2 papers). The work is most often cited by research in Hematology (583 citations), Dermatology (318 citations), Oncology (707 citations), Cancer Research (353 citations) and Molecular Biology (875 citations). William E. Pierceall has collaborated with scholars based in United States, United Kingdom and Switzerland. Frequent co-authors include Honnavara N. Ananthaswamy, Leonard H. Goldberg, Tapas Mukhopadhyay, Douglas W. Mahoney, Jonathan J. Harrington, Stephen N. Thibodeau, David A. Ahlquist, Anthony P. Shuber, Joel Skoletsky and Kevin A. Boynton. Their work appears in journals such as Blood, Leukemia, Leukemia Research, Clinical Cancer Research and Molecular Carcinogenesis.

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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