David Mawdsley
Impact in
- Developmental Neuroscience top 2%
- Neurogenesis and neuroplasticity mechanisms
- Cell Biology top 5%
- Zebrafish Biomedical Research Applications
Papers in
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- Meta-analysis and systematic reviews 7
-
- Statistical Methods in Clinical Trials 4
- Co-authors
- Bruce Appel (3 shared papers)Jimann Shin (2 shared papers)Julian P. T. Higgins (5 shared papers)Jelena Savović (4 shared papers)Hayley E Jones (3 shared papers)Rebecca Turner (3 shared papers)Hae‐Chul Park (1 shared paper)Jolanta M. Topczewska (1 shared paper)
- Journals
- Statistics in Medicine (3 papers)Developmental Biology (2 papers)CPT Pharmacometrics & Systems Pharmacology (1 paper)FEBS Letters (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United KingdomAustraliaUnited States
In The Last Decade
David Mawdsley
15 papers receiving 1.1k citations
David Mawdsley's Hit Papers
Peers
Comparison fields: 5 of 128
- Developmental Neuroscience 198
- Cell Biology 286
- Statistics, Probability and Uncertainty 84
- Hepatology 63
- Neurology 63
Countries citing papers authored by David Mawdsley
This map shows the geographic impact of David Mawdsley'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 David Mawdsley with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Mawdsley more than expected).
Fields of papers citing papers by David Mawdsley
This network shows the impact of papers produced by David Mawdsley. 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 David Mawdsley. The network helps show where David Mawdsley may publish in the future.
Co-authors
The 25 scholars most cited alongside David Mawdsley, 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 | 2005 | 305 | |
| 2 | Association Between Risk-of-Bias Assessments and Results of Randomized Trials in Cochrane Reviews: The ROBES Meta-Epidemiologic Study Hit paper breakdown → | 2017 | 278 |
| 3 | 2003 | 224 | |
| 4 | 2016 | 82 | |
| 5 | 2014 | 67 | |
| 6 | 2004 | 57 | |
| 7 | 2017 | 28 | |
| 8 | 2016 | 21 | |
| 9 | 1999 | 13 | |
| 10 | 2017 | 10 | |
| 11 | 2022 | 6 | |
| 12 | 2021 | 6 | |
| 13 | 2015 | 3 | |
| 14 | 2024 | 2 | |
| 15 | 2022 | 1 |
About David Mawdsley
David Mawdsley is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Molecular Biology, Cell Biology and Economics and Econometrics, having authored 15 papers that have together received 1.1k indexed citations. Recurring topics across this work include Meta-analysis and systematic reviews (7 papers), Statistical Methods in Clinical Trials (4 papers), Health Systems, Economic Evaluations, Quality of Life (3 papers), Zebrafish Biomedical Research Applications (3 papers), interferon and immune responses (1 paper), Pancreatic function and diabetes (1 paper), Cell Image Analysis Techniques (1 paper) and Allergic Rhinitis and Sensitization (1 paper). The work is most often cited by research in Developmental Neuroscience (198 citations), Cell Biology (286 citations), Statistics, Probability and Uncertainty (84 citations), Hepatology (63 citations) and Neurology (63 citations). David Mawdsley has collaborated with scholars based in United Kingdom, Australia and United States. Frequent co-authors include Bruce Appel, Jimann Shin, Julian P. T. Higgins, Jelena Savović, Hayley E Jones, Rebecca Turner, Hae‐Chul Park, Jolanta M. Topczewska, Joan K. Heath and Jonathan A C Sterne. Their work appears in journals such as Statistics in Medicine, Developmental Biology, CPT Pharmacometrics & Systems Pharmacology, FEBS Letters and Journal of Neuroscience.
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.