Will D. King

7.0k total citations · 2 hit papers
88 papers, 4.8k citations indexed

About

Will D. King is a scholar working on Health, Toxicology and Mutagenesis, Oncology and Molecular Biology. According to data from OpenAlex, Will D. King has authored 88 papers receiving a total of 4.8k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Health, Toxicology and Mutagenesis, 24 papers in Oncology and 17 papers in Molecular Biology. Recurrent topics in Will D. King's work include Air Quality and Health Impacts (12 papers), Epigenetics and DNA Methylation (12 papers) and Water Treatment and Disinfection (11 papers). Will D. King is often cited by papers focused on Air Quality and Health Impacts (12 papers), Epigenetics and DNA Methylation (12 papers) and Water Treatment and Disinfection (11 papers). Will D. King collaborates with scholars based in Canada, United States and United Kingdom. Will D. King's co-authors include Loraine D. Marrett, Linda Dodds, Dylan E. O’Sullivan, William J. Mackillop, Christopher M. Booth, Manolis Kogevinas, Sylvaine Cordier, Michael J. Raphael, James Biagi and Kenneth P. Cantor and has published in prestigious journals such as JAMA, Journal of Clinical Oncology and PLoS ONE.

In The Last Decade

Will D. King

86 papers receiving 4.6k citations

Hit Papers

Mortality due to cancer treatment... 2011 2026 2016 2021 2020 2011 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Will D. King Canada 33 1.6k 1.5k 569 457 449 88 4.8k
Reina Haque United States 33 1.2k 0.7× 1.0k 0.7× 420 0.7× 282 0.6× 776 1.7× 116 4.4k
Gonzalo López‐Abente Spain 39 1.7k 1.0× 1.4k 1.0× 699 1.2× 687 1.5× 699 1.6× 177 5.5k
Núria Aragonés Spain 35 1.3k 0.8× 892 0.6× 333 0.6× 523 1.1× 518 1.2× 156 4.0k
Feng Sun China 38 741 0.5× 685 0.5× 924 1.6× 358 0.8× 529 1.2× 301 6.9k
Chien‐Jen Chen Taiwan 50 1.8k 1.1× 1.4k 1.0× 661 1.2× 401 0.9× 435 1.0× 138 9.3k
Beatriz Pérez‐Gómez Spain 38 1.7k 1.0× 1.3k 0.9× 202 0.4× 584 1.3× 544 1.2× 208 5.2k
Jing Chen China 40 889 0.5× 898 0.6× 400 0.7× 413 0.9× 421 0.9× 389 7.7k
Loraine D. Marrett Canada 40 692 0.4× 2.0k 1.4× 715 1.3× 780 1.7× 492 1.1× 110 5.0k
Joanne S. Colt United States 41 2.1k 1.3× 678 0.5× 416 0.7× 628 1.4× 655 1.5× 127 5.2k
Denise Riedel Lewis United States 23 446 0.3× 1.2k 0.8× 278 0.5× 404 0.9× 688 1.5× 39 3.4k

Countries citing papers authored by Will D. King

Since Specialization
Citations

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

Fields of papers citing papers by Will D. King

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Will D. King. 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 Will D. King. The network helps show where Will D. King may publish in the future.

Co-authorship network of co-authors of Will D. King

This figure shows the co-authorship network connecting the top 25 collaborators of Will D. King. A scholar is included among the top collaborators of Will D. King 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 Will D. King. Will D. King 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
2.
Villeneuve, Paul J., Elisabeth Galarneau, Kristian Larsen, et al.. (2024). Ambient polycyclic aromatic hydrocarbon exposure and breast cancer risk in a population-based Canadian case–control study. Cancer Causes & Control. 35(8). 1165–1180. 5 indexed citations
3.
Rose, A, et al.. (2022). Anterior Interosseous Nerve to Ulnar Nerve Transfer: A Systematic Review. JPRAS Open. 32. 195–210. 14 indexed citations
4.
Ruan, Yibing, Abbey E. Poirier, Joy Pader, et al.. (2021). Estimating the future cancer management costs attributable to modifiable risk factors in Canada. Canadian Journal of Public Health. 112(6). 1083–1092. 8 indexed citations
5.
Gogna, Priyanka, Dylan E. O’Sullivan, Paul J. Villeneuve, et al.. (2019). Estimates of the current and future burden of lung cancer attributable to PM2.5 in Canada. Preventive Medicine. 122. 91–99. 23 indexed citations
6.
O’Sullivan, Dylan E., Darren R. Brenner, Paul J. Villeneuve, et al.. (2019). Estimates of the current and future burden of melanoma attributable to ultraviolet radiation in Canada. Preventive Medicine. 122. 81–90. 19 indexed citations
7.
Poirier, Abbey E., Yibing Ruan, Stephen D. Walter, et al.. (2019). The future burden of cancer in Canada: Long-term cancer incidence projections 2013–2042. Cancer Epidemiology. 59. 199–207. 55 indexed citations
8.
O’Sullivan, Dylan E., et al.. (2018). Indoor tanning and the risk of developing non-cutaneous cancers: a systematic review and meta-analysis. Cancer Causes & Control. 29(10). 937–950. 4 indexed citations
10.
Biagi, James, Michael J. Raphael, William J. Mackillop, et al.. (2011). Association Between Time to Initiation of Adjuvant Chemotherapy and Survival in Colorectal Cancer. JAMA. 305(22). 2335–2335. 463 indexed citations breakdown →
11.
Ho, Vikki, Thomas E. Massey, & Will D. King. (2011). Thymidylate synthase gene polymorphisms and markers of DNA methylation capacity. Molecular Genetics and Metabolism. 102(4). 481–487. 8 indexed citations
12.
Ho, Vikki, Thomas E. Massey, & Will D. King. (2010). Influence of thymidylate synthase gene polymorphisms on total plasma homocysteine concentrations. Molecular Genetics and Metabolism. 101(1). 18–24. 7 indexed citations
13.
Goy, Jennifer, Mark W. Rosenberg, & Will D. King. (2008). Health Risk Behaviors: Examining Social Inequalities in Bladder and Colorectal Cancers. Annals of Epidemiology. 18(2). 156–162. 22 indexed citations
14.
Zheng, Chen, Will D. King, R. Pearcey, Marc Kerba, & William J. Mackillop. (2007). The relationship between waiting time for radiotherapy and clinical outcomes: A systematic review of the literature. Radiotherapy and Oncology. 87(1). 3–16. 308 indexed citations
15.
King, Will D., Linda Dodds, A C Allen, et al.. (2005). Haloacetic acids in drinking water and risk for stillbirth. Occupational and Environmental Medicine. 62(2). 124–127. 23 indexed citations
16.
King, Will D., et al.. (2001). A prospective study of rural drinking water quality and acute gastrointestinal illness. BMC Public Health. 1(1). 8–8. 58 indexed citations
17.
King, Will D., Linda Dodds, & A C Allen. (2000). Relation between stillbirth and specific chlorination by-products in public water supplies.. Environmental Health Perspectives. 108(9). 883–886. 98 indexed citations
18.
Pickett, William, et al.. (1998). Suicide mortality and pesticide use among Canadian farmers. American Journal of Industrial Medicine. 34(4). 364–372. 56 indexed citations
19.
King, Will D., Gerarda Darlington, Nancy Kreiger, & Gordon Fehringer. (1993). Response of a cancer registry to reports of disease clusters. European Journal of Cancer. 29(10). 1414–1418. 5 indexed citations
20.
Kreiger, Nancy, Will D. King, Lynn Rosenberg, et al.. (1991). Steroid receptor status and the epidemiology of breast cancer. Annals of Epidemiology. 1(6). 513–523. 38 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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