William Wheeler
Impact in
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- Lymphoma Diagnosis and Treatment
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- Heavy Metal Exposure and Toxicity
Papers in
- Genetics 19
- Genetic Associations and Epidemiology 15
- Genetic Mapping and Diversity in Plants and Animals 5
- BRCA gene mutations in cancer 4
- Genetic and phenotypic traits in livestock 3
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- Epigenetics and DNA Methylation 5
- Gene expression and cancer classification 4
- Co-authors
- Ruth M. Pfeiffer (18 shared papers)Mary Jean Brown (3 shared papers)Eric A. Engels (4 shared papers)Stephen J. Chanock (14 shared papers)Mitchell H. Gail (3 shared papers)Meredith Yeager (10 shared papers)Ola Landgren (3 shared papers)Kai Yu (15 shared papers)
- Journals
- Biostatistics (4 papers)PLoS ONE (4 papers)Cancer Epidemiology Biomarkers & Prevention (3 papers)PLoS Genetics (3 papers)Bioinformatics (2 papers)
- Partner nations
- United StatesChinaFinland
In The Last Decade
William Wheeler
51 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 134
- Pathology and Forensic Medicine 192
- Health, Toxicology and Mutagenesis 161
- Genetics 311
- Oncology 262
- Genetics 98
Countries citing papers authored by William Wheeler
This map shows the geographic impact of William Wheeler'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 Wheeler with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites William Wheeler more than expected).
Fields of papers citing papers by William Wheeler
This network shows the impact of papers produced by William Wheeler. 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 Wheeler. The network helps show where William Wheeler may publish in the future.
Co-authors
The 25 scholars most cited alongside William Wheeler, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2009 | 192 | |
| 2 | 2006 | 161 | |
| 3 | Blood Lead Levels in Children Aged 1–5 Years — United States, 1999–2010 | 2013 | 156 |
| 4 | 2018 | 142 | |
| 5 | 2011 | 123 | |
| 6 | 2011 | 121 | |
| 7 | 2008 | 94 | |
| 8 | 2008 | 92 | |
| 9 | 2017 | 73 | |
| 10 | 2014 | 46 | |
| 11 | 2020 | 41 | |
| 12 | 2013 | 41 | |
| 13 | 2015 | 39 | |
| 14 | 2007 | 39 | |
| 15 | 2013 | 36 | |
| 16 | 2011 | 35 | |
| 17 | 2010 | 34 | |
| 18 | 2009 | 32 | |
| 19 | 2007 | 28 | |
| 20 | 2016 | 25 |
About William Wheeler
William Wheeler is a scholar working on Genetics, Molecular Biology, Oncology, Endocrinology, Diabetes and Metabolism and Epidemiology, having authored 55 papers that have together received 1.8k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (15 papers), Epigenetics and DNA Methylation (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Gene expression and cancer classification (4 papers), BRCA gene mutations in cancer (4 papers), Thyroid Cancer Diagnosis and Treatment (4 papers), Cutaneous Melanoma Detection and Management (3 papers) and Genetic and phenotypic traits in livestock (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (192 citations), Health, Toxicology and Mutagenesis (161 citations), Genetics (311 citations), Oncology (262 citations) and Genetics (98 citations). William Wheeler has collaborated with scholars based in United States, China and Finland. Frequent co-authors include Ruth M. Pfeiffer, Mary Jean Brown, Eric A. Engels, Stephen J. Chanock, Mitchell H. Gail, Meredith Yeager, Ola Landgren, Kai Yu, Ruth Parsons and Joan L. Warren. Their work appears in journals such as Biostatistics, PLoS ONE, Cancer Epidemiology Biomarkers & Prevention, PLoS Genetics and Bioinformatics.
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.