William Wheeler

8.6k total citations
51 papers, 1.7k citations indexed

About

William Wheeler is a scholar working on Genetics, Molecular Biology and Oncology. According to data from OpenAlex, William Wheeler has authored 51 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 16 papers in Molecular Biology and 9 papers in Oncology. Recurrent topics in William Wheeler's work include Genetic Associations and Epidemiology (16 papers), BRCA gene mutations in cancer (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). William Wheeler is often cited by papers focused on Genetic Associations and Epidemiology (16 papers), BRCA gene mutations in cancer (5 papers) and Genetic Mapping and Diversity in Plants and Animals (5 papers). William Wheeler collaborates with scholars based in United States, China and Finland. William Wheeler's co-authors include Ruth M. Pfeiffer, Mary Jean Brown, Eric A. Engels, Stephen J. Chanock, Mitchell H. Gail, Meredith Yeager, Ola Landgren, Winnie Ricker, Ruth Parsons and Joan L. Warren and has published in prestigious journals such as Bioinformatics, PLoS ONE and American Journal of Clinical Nutrition.

In The Last Decade

William Wheeler

48 papers receiving 1.7k 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 Wheeler United States 21 498 372 367 247 230 51 1.7k
Yuji Hiramatsu Japan 32 618 1.2× 337 0.9× 608 1.7× 82 0.3× 236 1.0× 136 3.2k
Greta Lee Splansky United States 17 466 0.9× 379 1.0× 608 1.7× 211 0.9× 442 1.9× 26 2.1k
Anand P. Chokkalingam United States 29 918 1.8× 490 1.3× 335 0.9× 183 0.7× 149 0.6× 79 2.9k
P.A.H. van Noord Netherlands 23 445 0.9× 311 0.8× 660 1.8× 185 0.7× 224 1.0× 36 1.9k
Paul Carter United Kingdom 22 275 0.6× 337 0.9× 473 1.3× 114 0.5× 128 0.6× 35 1.7k
Libby M. Morimoto United States 20 414 0.8× 254 0.7× 938 2.6× 325 1.3× 157 0.7× 68 1.7k
Kara L. Cushing‐Haugen United States 25 496 1.0× 414 1.1× 511 1.4× 188 0.8× 134 0.6× 59 2.5k
Clara Chen United States 24 604 1.2× 275 0.7× 832 2.3× 206 0.8× 264 1.1× 101 2.6k
Naoko Ishibe United States 18 516 1.0× 319 0.9× 330 0.9× 297 1.2× 142 0.6× 28 2.1k
Giuseppe De Placido Italy 43 588 1.2× 263 0.7× 163 0.4× 123 0.5× 63 0.3× 123 4.9k

Countries citing papers authored by William Wheeler

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of William Wheeler

This figure shows the co-authorship network connecting the top 25 collaborators of William Wheeler. A scholar is included among the top collaborators of William Wheeler 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 Wheeler. William Wheeler 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.
Rusiecki, Jennifer A., Jessica L. Petrick, Roni T. Falk, et al.. (2025). Circulating Inflammation Biomarkers and the Risk of Esophageal Adenocarcinoma: A Nested Case–Control Study in the Department of Defense Serum Repository. Cancer Epidemiology Biomarkers & Prevention. 34(5). 649–657.
2.
Bailey, Caitlin P., et al.. (2025). Fitbit Physical Activity and Sleep Data in the All of Us Research Program: Data Exploration and Processing Considerations for Research. Medicine & Science in Sports & Exercise. 57(12). 2946–2953.
3.
Gadalla, Shahinaz M., Timothy S. McNeel, William Wheeler, et al.. (2025). Spectrum of Cancers and Their Prognosis Among Patients With Myotonic Dystrophy. JAMA Network Open. 8(8). e2526894–e2526894. 1 indexed citations
4.
Fu, Sheng, William Wheeler, Xing Hua, et al.. (2024). A comprehensive framework for trans-ancestry pathway analysis using GWAS summary data from diverse populations. PLoS Genetics. 20(10). e1011322–e1011322. 1 indexed citations
5.
Fu, Sheng, Lu Deng, Han Zhang, et al.. (2023). Integrative analysis of individual-level data and high-dimensional summary statistics. Bioinformatics. 39(4). 3 indexed citations
6.
Zhang, Han, Lu Deng, William Wheeler, Jing Qin, & Kai Yu. (2021). Integrative analysis of multiple case‐control studies. Biometrics. 78(3). 1080–1091. 3 indexed citations
7.
Zhang, Haoyu, Ni Zhao, Thomas U. Ahearn, et al.. (2020). A mixed-model approach for powerful testing of genetic associations with cancer risk incorporating tumor characteristics. Biostatistics. 22(4). 772–788. 4 indexed citations
8.
Choudhury, Parichoy Pal, Paige Maas, Amber N. Hurson, et al.. (2020). iCARE: An R package to build, validate and apply absolute risk models. PLoS ONE. 15(2). e0228198–e0228198. 39 indexed citations
9.
Song, Minsun, William Wheeler, Neil E. Caporaso, Maria Teresa Landi, & Nilanjan Chatterjee. (2017). Using imputed genotype data in the joint score tests for genetic association and gene–environment interactions in case‐control studies. Genetic Epidemiology. 42(2). 146–155. 8 indexed citations
10.
Stueve, Theresa Ryan, Wenqing Li, Jianxin Shi, et al.. (2017). Epigenome-wide analysis of DNA methylation in lung tissue shows concordance with blood studies and identifies tobacco smoke-inducible enhancers. Human Molecular Genetics. 26(15). 3014–3027. 70 indexed citations
11.
Moy, Kristin A., Alison M. Mondul, Han Zhang, et al.. (2014). Genome-wide association study of circulating vitamin D–binding protein. American Journal of Clinical Nutrition. 99(6). 1424–1431. 42 indexed citations
12.
Burke, L., Paula L. Hyland, Ruth M. Pfeiffer, et al.. (2013). Telomere Length and the Risk of Cutaneous Malignant Melanoma in Melanoma-Prone Families with and without CDKN2A Mutations. PLoS ONE. 8(8). e71121–e71121. 41 indexed citations
13.
Hyland, Paula L., Neal D. Freedman, Nan Hu, et al.. (2013). Genetic variants in sex hormone metabolic pathway genes and risk of esophageal squamous cell carcinoma. Carcinogenesis. 34(5). 1062–1068. 34 indexed citations
14.
Aschebrook‐Kilfoy, Briseis, Gila Neta, Alina V. Brenner, et al.. (2012). Common genetic variants in metabolism and detoxification pathways and the risk of papillary thyroid cancer.. Endocrine Related Cancer. 19(3). 333–344. 10 indexed citations
15.
Major, Jacqueline M., Kai Yu, William Wheeler, et al.. (2011). Genome-wide association study identifies common variants associated with circulating vitamin E levels. Human Molecular Genetics. 20(19). 3876–3883. 115 indexed citations
16.
Yang, Xiaohong R., Xueying Liang, Ruth M. Pfeiffer, et al.. (2010). Associations of 9p21 variants with cutaneous malignant melanoma, nevi, and pigmentation phenotypes in melanoma-prone families with and without CDKN2A mutations. Familial Cancer. 9(4). 625–633. 33 indexed citations
17.
Caporaso, Neil E., Fangyi Gu, Nilanjan Chatterjee, et al.. (2009). Genome-Wide and Candidate Gene Association Study of Cigarette Smoking Behaviors. PLoS ONE. 4(2). e4653–e4653. 184 indexed citations
18.
Yang, Xiaohong R., Ruth M. Pfeiffer, William Wheeler, et al.. (2009). Identification of modifier genes for cutaneous malignant melanoma in melanoma‐prone families with and without CDKN2A mutations. International Journal of Cancer. 125(12). 2912–2917. 31 indexed citations
19.
Mellemkjær, Lene, Ruth M. Pfeiffer, Eric A. Engels, et al.. (2008). Autoimmune disease in individuals and close family members and susceptibility to non‐Hodgkin's lymphoma. Arthritis & Rheumatism. 58(3). 657–666. 92 indexed citations
20.
Carroll, Raymond J., et al.. (2007). Combining assays for estimating prevalence of human herpesvirus 8 infection using multivariate mixture models. Biostatistics. 9(1). 137–151. 17 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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