John Petkau

6.1k citations
55 papers · 2.1k · h-index 24

Impact in

Papers in

John Petkau

55 papers receiving 2.0k citations

Peers

John Petkau
Comparison fields: 5 of 132
  • Pathology and Forensic Medicine 1.2k
  • Rheumatology 284
  • Health, Toxicology and Mutagenesis 273
  • Neurology 258
  • Statistics and Probability 141
Replace Neal W. Jorgensen with:
Neal W. Jorgensen United States
Erik Sauleau France
A. John Petkau Canada
Abraham Silvers United States
Michela Ponzio Italy
Christophe Dematteï France
Romano Tenconi Italy
Martine Hours France
Francesca Locatelli Italy
Reinhard Hilgers Germany
John Petkau relative to Neal W. Jorgensen United States Neal W. Jorgensen's profile →
Citations per field
00.5×10×15×17.6×
Neal W. Jorgensen · 1×
Citations per year

Countries citing papers authored by John Petkau

Since Specialization
Citations

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

Fields of papers citing papers by John Petkau

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside John Petkau, 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 John Petkau Line = papers co-authored together John Petkau links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 55 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1997293
2 2012188
3 2006154
4 2010142
5 1996141
6 1998129
7 2002101
8 201681
9 200375
10 201459
11 201557
12 201155
13 200450
14 200447
15 197844
16 201743
17 200541
18 200834
19 201934
20 201131

About John Petkau

John Petkau is a scholar working on Pathology and Forensic Medicine, Statistics and Probability, Rheumatology, Cardiology and Cardiovascular Medicine and Health, Toxicology and Mutagenesis, having authored 55 papers that have together received 2.1k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (29 papers), Statistical Methods in Clinical Trials (9 papers), Statistical Methods and Inference (8 papers), Statistical Methods and Bayesian Inference (7 papers), Air Quality and Health Impacts (5 papers), Systemic Lupus Erythematosus Research (5 papers), Viral Infections and Immunology Research (5 papers) and Advanced Causal Inference Techniques (3 papers). The work is most often cited by research in Pathology and Forensic Medicine (1.2k citations), Rheumatology (284 citations), Health, Toxicology and Mutagenesis (273 citations), Neurology (258 citations) and Statistics and Probability (141 citations). John Petkau has collaborated with scholars based in Canada, United States and Germany. Frequent co-authors include Helen Tremlett, Sverre Vedal, Paul Gustafson, Mohammad Ehsanul Karim, Rick White, Michael Bräuer, Yinshan Zhao, Elaine Kingwell, Stephen C. Reingold and Afsaneh Shirani. Their work appears in journals such as Neurology, Multiple Sclerosis Journal, Statistics in Medicine, Journal of the American Statistical Association and American Journal of Epidemiology.

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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