Jon Wakefield

9.8k total citations · 2 hit papers
133 papers, 5.4k citations indexed

About

Jon Wakefield is a scholar working on Statistics and Probability, Epidemiology and Economics and Econometrics. According to data from OpenAlex, Jon Wakefield has authored 133 papers receiving a total of 5.4k indexed citations (citations by other indexed papers that have themselves been cited), including 48 papers in Statistics and Probability, 21 papers in Epidemiology and 21 papers in Economics and Econometrics. Recurrent topics in Jon Wakefield's work include Statistical Methods and Bayesian Inference (39 papers), Statistical Methods in Clinical Trials (17 papers) and Data-Driven Disease Surveillance (15 papers). Jon Wakefield is often cited by papers focused on Statistical Methods and Bayesian Inference (39 papers), Statistical Methods in Clinical Trials (17 papers) and Data-Driven Disease Surveillance (15 papers). Jon Wakefield collaborates with scholars based in United States, United Kingdom and South Africa. Jon Wakefield's co-authors include Paul Elliott, Joshua M. Akey, Serge Aleshin‐Guendel, William Msemburi, Ariel Karlinsky, Victoria Knutson, Stephen Walker, Somnath Chatterji, Gavin Shaddick and Youyi Fong and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Jon Wakefield

130 papers receiving 5.2k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

The WHO estimates of excess mortality associated with the COVID-19 pandemic

2022 462 citations Jon Wakefield et al. profile →
Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals

2016 254 citations Rajiv C. McCoy, Jon Wakefield et al. profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Jon Wakefield United States	41	1.0k	798	789	574	566	133	5.4k
Thomas Lumley New Zealand	39	1.2k 1.1×	991 1.2×	453 0.6×	1.5k 2.7×	939 1.7×	163	8.9k
Holly Janes United States	29	607 0.6×	712 0.9×	348 0.4×	841 1.5×	900 1.6×	100	5.4k
Mark R. Segal United States	51	685 0.7×	2.7k 3.3×	473 0.6×	661 1.2×	907 1.6×	183	11.8k
Håkon K. Gjessing Norway	37	599 0.6×	621 0.8×	714 0.9×	241 0.4×	609 1.1×	117	6.2k
Thomas Scheike Denmark	48	1.3k 1.3×	1.3k 1.7×	926 1.2×	1.5k 2.7×	425 0.8×	199	9.2k
Eric J. Tchetgen Tchetgen United States	42	2.0k 1.9×	324 0.4×	675 0.9×	348 0.6×	609 1.1×	148	5.7k
Vernon M. Chinchilli United States	65	1.0k 1.0×	1.3k 1.6×	595 0.8×	501 0.9×	1.2k 2.1×	447	16.4k
D. Collett United Kingdom	40	1.1k 1.1×	414 0.5×	401 0.5×	139 0.2×	849 1.5×	100	9.4k
Marinus J.C. Eijkemans Netherlands	74	605 0.6×	1.3k 1.7×	986 1.2×	237 0.4×	2.3k 4.1×	312	22.0k
Stijn Vansteelandt Belgium	44	3.3k 3.2×	523 0.7×	560 0.7×	267 0.5×	808 1.4×	225	8.1k

Countries citing papers authored by Jon Wakefield

Since Specialization

Citations

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

Fields of papers citing papers by Jon Wakefield

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon Wakefield. 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 Jon Wakefield. The network helps show where Jon Wakefield may publish in the future.

Co-authorship network of co-authors of Jon Wakefield

This figure shows the co-authorship network connecting the top 25 collaborators of Jon Wakefield. A scholar is included among the top collaborators of Jon Wakefield 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 Jon Wakefield. Jon Wakefield is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Loch, Carolina, et al.. (2025). Tooth wear and dental calculus in a group of orca ( Orcinus orca ) stranded on the New Zealand southern coast. Journal of the Royal Society of New Zealand. 55(6). 2042–2059. 1 indexed citations

Wakefield, Jon, et al.. (2024). Modelling urban/rural fractions in low- and middle-income countries. Journal of the Royal Statistical Society Series A (Statistics in Society). 187(3). 811–830.

Hughes, James P., Brian D. Williamson, Gordon Chau, et al.. (2022). Combining information to estimate adherence in studies of pre‐exposure prophylaxis for HIV prevention: Application to HPTN 067. Statistics in Medicine. 41(6). 1120–1136. 1 indexed citations

Fintzi, Jonathan, Jon Wakefield, & Vladimir N. Minin. (2020). A linear noise approximation for stochastic epidemic models fit to partially observed incidence counts. arXiv (Cornell University). 14 indexed citations

McCoy, Rajiv C., Jon Wakefield, & Joshua M. Akey. (2017). Impacts of Neanderthal-Introgressed Sequences on the Landscape of Human Gene Expression. Cell. 168(5). 916–927.e12. 102 indexed citations

Smith, Theresa, Jon Wakefield, & Adrian Dobra. (2015). Restricted covariance priors with applications in spatial statistic. Lancaster EPrints (Lancaster University). 7 indexed citations

Psoter, Kevin J., Anneclaire J. De Roos, Jon Wakefield, et al.. (2015). Association of meteorological and geographical factors and risk of initialPseudomonas aeruginosaacquisition in young children with cystic fibrosis. Epidemiology and Infection. 144(5). 1075–1083. 16 indexed citations

Wakefield, Jon, et al.. (2014). Heritable variation of mRNA decay rates in yeast. Genome Research. 24(12). 2000–2010. 6 indexed citations

Fong, Youyi, Jon Wakefield, Stephen De Rosa, & Nicole Frahm. (2012). A Robust Bayesian Random Effects Model for Nonlinear Calibration Problems. Biometrics. 68(4). 1103–1112. 18 indexed citations

10.

Skelly, Daniel A., Marnie Johansson, Jennifer Madeoy, Jon Wakefield, & Joshua M. Akey. (2011). A powerful and flexible statistical framework for testing hypotheses of allele-specific gene expression from RNA-seq data. Genome Research. 21(10). 1728–1737. 130 indexed citations

11.

Wakefield, Jon. (2008). A Bayesian Measure of the Probability of False Discovery in Molecular Genetic Epidemiology Studies. The American Journal of Human Genetics. 83(3). 424–424. 5 indexed citations

12.

Haneuse, Sebastien, Jon Wakefield, & Lianne Sheppard. (2007). The interpretation of exposure effect estimates in chronic air pollution studies. Statistics in Medicine. 26(16). 3172–3187. 10 indexed citations

13.

Hickman, Matthew, Peter W. Madden, John A. Henry, et al.. (2003). Trends in drug overdose deaths in England and Wales 1993–98: methadone does not kill more people than heroin. Addiction. 98(4). 419–425. 61 indexed citations

14.

Guthrie, Katherine A., Lianne Sheppard, & Jon Wakefield. (2002). A Hierarchical Aggregate Data Model with Spatially Correlated Disease Rates. Biometrics. 58(4). 898–905. 9 indexed citations

15.

Järup, Lars, Datonye Christopher Briggs, C de Hoogh, et al.. (2002). Cancer risks in populations living near landfill sites in Great Britain. British Journal of Cancer. 86(11). 1732–1736. 58 indexed citations

16.

Bennett, James E. & Jon Wakefield. (2001). Errors-in-Variables in Joint Population Pharmacokinetic/Pharmacodynamic Modeling. Biometrics. 57(3). 803–812. 15 indexed citations

17.

Wakefield, Jon & Paul Elliott. (1999). Issues in the statistical analysis of small area health data. Statistics in Medicine. 18(1718). 2377–2399. 10 indexed citations

18.

Wakefield, Jon, et al.. (1999). Gibbs Sampling for Bayesian Non-Conjugate and Hierarchical Models by Using Auxiliary Variables. Journal of the Royal Statistical Society Series B (Statistical Methodology). 61(2). 331–344. 228 indexed citations

19.

Wakefield, Jon. (1996). The Bayesian Analysis of Population Pharmacokinetic Models. Journal of the American Statistical Association. 91(433). 62–75. 120 indexed citations

20.

Wakefield, Jon. (1996). Bayesian individualization via sampling-based methods. Journal of Pharmacokinetics and Biopharmaceutics. 24(1). 103–131. 27 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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