M Bennetts
Impact in
- Statistics and Probability top 10%
- Statistical Methods in Clinical Trials
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- Lung Cancer Treatments and Mutations
- Lung Cancer Diagnosis and Treatment
Papers in
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- Meta-analysis and systematic reviews 5
-
- Statistical Methods in Clinical Trials 4
- Co-authors
- Nicky J. Welton (4 shared papers)Sofia Dias (4 shared papers)David Mawdsley (1 shared paper)Julia Brinkmann (2 shared papers)Antonin Kayser (2 shared papers)Barbara Melosky (1 shared paper)Kato Kambartel (2 shared papers)Michael Moran (1 shared paper)
- Journals
- CPT Pharmacometrics & Systems Pharmacology (3 papers)Research Synthesis Methods (2 papers)Molecular Diagnosis & Therapy (1 paper)Value in Health (1 paper)Journal of Thoracic Oncology (1 paper)
- Partner nations
- United KingdomUnited StatesItaly
In The Last Decade
M Bennetts
8 papers receiving 339 citations
Peers
Comparison fields: 5 of 62
- Statistics and Probability 32
- Pulmonary and Respiratory Medicine 98
- Statistics, Probability and Uncertainty 17
- Oncology 53
- Cancer Research 25
Countries citing papers authored by M Bennetts
This map shows the geographic impact of M Bennetts'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 M Bennetts with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M Bennetts more than expected).
Fields of papers citing papers by M Bennetts
This network shows the impact of papers produced by M Bennetts. 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 M Bennetts. The network helps show where M Bennetts may publish in the future.
Co-authors
The 15 scholars most cited alongside M Bennetts, 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 | 2021 | 136 | |
| 2 | 2016 | 91 | |
| 3 | 2019 | 47 | |
| 4 | 2015 | 40 | |
| 5 | 2012 | 34 | |
| 6 | 2020 | 4 | |
| 7 | 2018 | 1 | |
| 8 | 2021 | 1 |
About M Bennetts
M Bennetts is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Pulmonary and Respiratory Medicine, Economics and Econometrics and Oncology, having authored 8 papers that have together received 354 indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (5 papers), Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (2 papers), Lung Cancer Treatments and Mutations (2 papers), Bone health and osteoporosis research (1 paper), Estrogen and related hormone effects (1 paper), Endometriosis Research and Treatment (1 paper) and 3D Printing in Biomedical Research (1 paper). The work is most often cited by research in Statistics and Probability (32 citations), Pulmonary and Respiratory Medicine (98 citations), Statistics, Probability and Uncertainty (17 citations), Oncology (53 citations) and Cancer Research (25 citations). M Bennetts has collaborated with scholars based in United Kingdom, United States and Italy. Frequent co-authors include Nicky J. Welton, Sofia Dias, David Mawdsley, Julia Brinkmann, Antonin Kayser, Barbara Melosky, Kato Kambartel, Michael Moran, Federico Cappuzzo and Maik Häntschel. Their work appears in journals such as CPT Pharmacometrics & Systems Pharmacology, Research Synthesis Methods, Molecular Diagnosis & Therapy, Value in Health and Journal of Thoracic 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.