Jonathan C. Wakefield

2.5k citations
57 papers · 1.8k · h-index 19

Impact in

Papers in

Jonathan C. Wakefield

54 papers receiving 1.7k citations

Peers

Jonathan C. Wakefield
Comparison fields: 5 of 152
  • Statistics and Probability 361
  • Health, Toxicology and Mutagenesis 329
  • Modeling and Simulation 100
  • Health 146
  • Economics and Econometrics 337
Replace Ying C. MacNab with:
Ying C. MacNab Canada
Julia E. Kelsall United Kingdom
Maya L Petersen United States
Leonhard Knorr‐Held Germany
Juan Jose Abellan Spain
Joshua L. Warren United States
John C. Wakefield Hong Kong
Antonio Sanhueza Chile
Laina D. Mercer United States
J. F. Bithell United Kingdom
Jonathan C. Wakefield relative to Ying C. MacNab Canada Ying C. MacNab's profile →
Citations per field
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Ying C. MacNab · 1×
Citations per year

Countries citing papers authored by Jonathan C. Wakefield

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan C. Wakefield

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Jonathan C. Wakefield, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jonathan C. Wakefield Line = papers co-authored together Jonathan C. Wakefield links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 57 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006238
2 2007179
3 2001143
4 2002122
5 2000102
6 1961101
7 200189
8 200583
9 200578
10 201565
11 199963
12 201062
13 201345
14 200442
15 200631
16 199827
17 199927
18 200520
19 200719
20 200018

About Jonathan C. Wakefield

Jonathan C. Wakefield is a scholar working on Statistics and Probability, Economics and Econometrics, Health, Toxicology and Mutagenesis, Management Science and Operations Research and Epidemiology, having authored 57 papers that have together received 1.8k indexed citations. Recurring topics across this work include Statistical Methods and Bayesian Inference (13 papers), Spatial and Panel Data Analysis (10 papers), Air Quality and Health Impacts (8 papers), Data-Driven Disease Surveillance (7 papers), Silicon and Solar Cell Technologies (7 papers), demographic modeling and climate adaptation (6 papers), Bayesian Methods and Mixture Models (4 papers) and Economic and Environmental Valuation (4 papers). The work is most often cited by research in Statistics and Probability (361 citations), Health, Toxicology and Mutagenesis (329 citations), Modeling and Simulation (100 citations), Health (146 citations) and Economics and Econometrics (337 citations). Jonathan C. Wakefield has collaborated with scholars based in United States, United Kingdom and Uganda. Frequent co-authors include Ruth Salway, Ronald Charles Newman, Julia E. Kelsall, Paul Elliott, Sebastien Haneuse, Hil M. Lyons, Nicky Best, Robert E. Kass, Donna K. Pauler and Lars Järup. Their work appears in journals such as Biostatistics, International Statistical Review, Journal of the American Statistical Association, Environmental and Ecological Statistics and PLoS neglected tropical diseases.

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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