Jon Wakefield
Impact in
- Statistics and Probability top 0.2%
- Statistical Methods and Bayesian Inference
- Statistical Methods and Inference
- Statistical Methods in Clinical Trials
- Modeling and Simulation top 1%
Papers in
-
- Statistical Methods and Bayesian Inference 43
- Statistical Methods in Clinical Trials 19
- Statistical Methods and Inference 15
- Epidemiology 22
- Data-Driven Disease Surveillance 16
- Co-authors
- Paul Elliott (16 shared papers)Joshua M. Akey (6 shared papers)Stephen Walker (2 shared papers)Serge Aleshin‐Guendel (3 shared papers)William Msemburi (2 shared papers)Ariel Karlinsky (2 shared papers)Victoria Knutson (2 shared papers)Somnath Chatterji (1 shared paper)
- Journals
- Statistics in Medicine (15 papers)Biometrics (11 papers)Journal of the Royal Statistical Society Series A (Statistics in Society) (8 papers)The Annals of Applied Statistics (6 papers)Journal of the American Statistical Association (5 papers)
- Partner nations
- United StatesUnited KingdomSouth Africa
In The Last Decade
Jon Wakefield
136 papers receiving 5.5k citations
Jon Wakefield's Hit Papers
Peers
Comparison fields: 5 of 206
- Statistics and Probability 1.1k
- Modeling and Simulation 213
- Health, Toxicology and Mutagenesis 497
- Health 224
- Genetics 761
Countries citing papers authored by Jon Wakefield
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
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-authors
The 25 scholars most cited alongside Jon Wakefield, 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 141 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | The WHO estimates of excess mortality associated with the COVID-19 pandemic Hit paper breakdown → | 2022 | 510 |
| 2 | 2007 | 281 | |
| 3 | Excavating Neandertal and Denisovan DNA from the genomes of Melanesian individuals Hit paper breakdown → | 2016 | 276 |
| 4 | 1999 | 254 | |
| 5 | 2008 | 218 | |
| 6 | 2009 | 195 | |
| 7 | 2009 | 189 | |
| 8 | 2011 | 186 | |
| 9 | 2013 | 154 | |
| 10 | 2011 | 137 | |
| 11 | 2002 | 131 | |
| 12 | 1996 | 128 | |
| 13 | 2004 | 114 | |
| 14 | 2013 | 112 | |
| 15 | 2017 | 110 | |
| 16 | 2007 | 96 | |
| 17 | 2002 | 90 | |
| 18 | 2016 | 79 | |
| 19 | 1999 | 78 | |
| 20 | 2004 | 73 |
About Jon Wakefield
Jon Wakefield is a scholar working on Statistics and Probability, Epidemiology, Economics and Econometrics, Artificial Intelligence and Health, Toxicology and Mutagenesis, having authored 141 papers that have together received 5.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (43 papers), Statistical Methods in Clinical Trials (19 papers), Bayesian Methods and Mixture Models (17 papers), Data-Driven Disease Surveillance (16 papers), Statistical Methods and Inference (15 papers), Spatial and Panel Data Analysis (14 papers), COVID-19 epidemiological studies (11 papers) and Air Quality and Health Impacts (11 papers). The work is most often cited by research in Statistics and Probability (1.1k citations), Modeling and Simulation (213 citations), Health, Toxicology and Mutagenesis (497 citations), Health (224 citations) and Genetics (761 citations). Jon Wakefield has collaborated with scholars based in United States, United Kingdom and South Africa. Frequent co-authors include Paul Elliott, Joshua M. Akey, Stephen Walker, Serge Aleshin‐Guendel, William Msemburi, Ariel Karlinsky, Victoria Knutson, Somnath Chatterji, Gavin Shaddick and Håvard Rue. Their work appears in journals such as Statistics in Medicine, Biometrics, Journal of the Royal Statistical Society Series A (Statistics in Society), The Annals of Applied Statistics and Journal of the American Statistical Association.
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.