A. John Petkau
- Health, Toxicology and Mutagenesis top 5%
- Pathology and Forensic Medicine top 5%
- Statistics and Probability top 2%
- Immunology
- Physiology
- Co-authors
- Sverre VedalMichael BräuerStefanie EbeltFernand LabrieRosemary BassonLori A. BrottoJames V. ZidekJochen Brumm
- Topics
- Multiple Sclerosis Research Studies (12 papers)Statistical Methods in Clinical Trials (11 papers)Health Systems, Economic Evaluations, Quality of Life (5 papers)
- Cited by
- Statistics and ProbabilityHealth, Toxicology and MutagenesisPathology and Forensic Medicine
- Journals
- ScienceJournal of the American Statistical AssociationThe Journal of Clinical Endocrinology & Metabolism
- Partner nations
- CanadaUnited StatesUnited Kingdom
In The Last Decade
A. John Petkau
37 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 130
- Health, Toxicology and Mutagenesis 242
- Pathology and Forensic Medicine 222
- Statistics and Probability 165
- Immunology 144
- Physiology 110
Countries citing papers authored by A. John Petkau
This map shows the geographic impact of A. 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 A. 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 A. John Petkau more than expected).
Fields of papers citing papers by A. John Petkau
This network shows the impact of papers produced by A. 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 A. John Petkau. The network helps show where A. John Petkau may publish in the future.
Co-authorship network of co-authors of A. John Petkau
This figure shows the co-authorship network connecting the top 25 collaborators of A. John Petkau. A scholar is included among the top collaborators of A. John Petkau 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 A. John Petkau. A. John Petkau is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 2 | |
| 3 | 10 | |
| 4 | 74 | |
| 5 | 53 | |
| 6 | 24 | |
| 7 | 33 | |
| 8 | 39 | |
| 9 | 99 | |
| 10 | 25 | |
| 11 | 73 | |
| 12 | 11 | |
| 13 | 21 | |
| 14 | 20 | |
| 15 | 17 | |
| 16 | 79 | |
| 17 | 20 | |
| 18 | 4 | |
| 19 | 11 | |
| 20 | 32 |
About A. John Petkau
A. John Petkau is a scholar working on Statistics and Probability, Pathology and Forensic Medicine and Statistics, Probability and Uncertainty, having authored 39 papers that have together received 1.2k indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (12 papers), Statistical Methods in Clinical Trials (11 papers) and Health Systems, Economic Evaluations, Quality of Life (5 papers). The work is most often cited by research in Statistics and Probability (165 citations), Health, Toxicology and Mutagenesis (242 citations) and Pathology and Forensic Medicine (222 citations). A. John Petkau has collaborated with scholars based in Canada, United States and United Kingdom. Frequent co-authors include Sverre Vedal, Michael Bräuer, Stefanie Ebelt, Fernand Labrie, Rosemary Basson, Lori A. Brotto, James V. Zidek, Jochen Brumm, Herman Chernoff and Ingram Olkin. Their work appears in journals such as Science, Journal of the American Statistical Association and The Journal of Clinical Endocrinology & Metabolism.
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.