Petra Macaskill
- Cancer Research top 0.2%
- Breast Cancer Treatment Studies 21
- Pathology and Forensic Medicine top 0.1%
- Breast Lesions and Carcinomas 16
- Oncology top 0.5%
- Global Cancer Incidence and Screening 19
-
- Meta-analysis and systematic reviews 17
-
- AI in cancer detection 22
-
- Statistical Methods in Clinical Trials 18
-
- Health Systems, Economic Evaluations, Quality of Life 16
-
- Digital Radiography and Breast Imaging 14
- Co-authors
- Les IrwigJonathan J DeeksNehmat HoussamiJohn P. A. IoannidisDouglas G. AltmanM. Luke MarinovichStephen D. WalterEwout W. Steyerberg
- Journals
- Journal of Clinical Epidemiology (10 papers)The Breast (7 papers)Statistics in Medicine (7 papers)
- Partner nations
- AustraliaItalyUnited States
In The Last Decade
Petra Macaskill
164 papers receiving 23.8k citations
Hit Papers
Peers
Comparison fields: 5 of 212
- Cancer Research 3.2k
- Pathology and Forensic Medicine 3.5k
- Radiology, Nuclear Medicine and Imaging 3.9k
- Oncology 4.0k
- Statistics, Probability and Uncertainty 1.0k
Countries citing papers authored by Petra Macaskill
This map shows the geographic impact of Petra Macaskill'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 Petra Macaskill with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Petra Macaskill more than expected).
Fields of papers citing papers by Petra Macaskill
This network shows the impact of papers produced by Petra Macaskill. 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 Petra Macaskill. The network helps show where Petra Macaskill may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Petra Macaskill, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2023 | 1 | |
| 2 | 2022 | 3 | |
| 3 | 2019 | 22 | |
| 4 | 2018 | 11 | |
| 5 | 2018 | 35 | |
| 6 | 2018 | 21 | |
| 7 | 2017 | 31 | |
| 8 | 2016 | 10 | |
| 9 | 2015 | 98 | |
| 10 | 2013 | 183 | |
| 11 | 2013 | 33 | |
| 12 | 2012 | 383 | |
| 13 | Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trialsbreakdown → | 2011 | 5544 |
| 14 | 2011 | 91 | |
| 15 | 2011 | 6 | |
| 16 | 2008 | 199 | |
| 17 | 2002 | 58 | |
| 18 | A comparison of methods to detect publication bias in meta‐analysisbreakdown → | 2001 | 968 |
| 19 | 1999 | 154 | |
| 20 | 1991 | 34 |
About Petra Macaskill
Petra Macaskill is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability and Pathology and Forensic Medicine, having authored 166 papers that have together received 24.3k indexed citations. Recurring topics across this work include AI in cancer detection (22 papers), Breast Cancer Treatment Studies (21 papers), Global Cancer Incidence and Screening (19 papers), Statistical Methods in Clinical Trials (18 papers), Meta-analysis and systematic reviews (17 papers), Health Systems, Economic Evaluations, Quality of Life (16 papers), Breast Lesions and Carcinomas (16 papers) and Digital Radiography and Breast Imaging (14 papers). The work is most often cited by research in Cancer Research (3.2k citations), Pathology and Forensic Medicine (3.5k citations) and Radiology, Nuclear Medicine and Imaging (3.9k citations). Petra Macaskill has collaborated with scholars based in Australia, Italy and United States. Frequent co-authors include Les Irwig, Jonathan J Deeks, Nehmat Houssami, John P. A. Ioannidis, Douglas G. Altman, M. Luke Marinovich, Stephen D. Walter, Ewout W. Steyerberg, Andrew J. Vickers and David F. Ransohoff. Their work appears in journals such as Journal of Clinical Epidemiology, The Breast, Statistics in Medicine, Cochrane Database of Systematic Reviews and Journal of Clinical Oncology.
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.