Edwin Morley‐Fletcher
Impact in
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- Statistical Methods in Clinical Trials
Papers in
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- Microbial Metabolic Engineering and Bioproduction 1
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- Statistical Methods in Clinical Trials 2
- Co-authors
- Adriano Henney (2 shared papers)Marco Viceconti (2 shared papers)Marcus Kelm (1 shared paper)Antonio Camurri (1 shared paper)Sarah Whatley (1 shared paper)Tyler J. Law (1 shared paper)Stephan Schubert (1 shared paper)Olivier Ecabert (1 shared paper)
- Journals
- Circulation Cardiovascular Interventions (1 paper)Labour (1 paper)International Journal of Clinical Trials (1 paper)Pure (Coventry University) (1 paper)Zenodo (CERN European Organization for Nuclear Research) (1 paper)
- Partner nations
- ItalyUnited KingdomCanada
In The Last Decade
Edwin Morley‐Fletcher
6 papers receiving 220 citations
Peers
Comparison fields: 5 of 89
- Health Informatics 4
- Statistics and Probability 17
- Cardiology and Cardiovascular Medicine 41
- Epidemiology 46
- Pulmonary and Respiratory Medicine 38
Countries citing papers authored by Edwin Morley‐Fletcher
This map shows the geographic impact of Edwin Morley‐Fletcher'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 Edwin Morley‐Fletcher with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Edwin Morley‐Fletcher more than expected).
Fields of papers citing papers by Edwin Morley‐Fletcher
This network shows the impact of papers produced by Edwin Morley‐Fletcher. 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 Edwin Morley‐Fletcher. The network helps show where Edwin Morley‐Fletcher may publish in the future.
Co-authors
The 20 scholars most cited alongside Edwin Morley‐Fletcher, 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 | 2016 | 162 | |
| 2 | 2016 | 34 | |
| 3 | 2016 | 25 | |
| 4 | Review Article In silico clinical trials: how computer simulation will transform the biomedical industry | 2016 | 4 |
| 5 | 1998 | 2 | |
| 6 | 2017 | 1 |
About Edwin Morley‐Fletcher
Edwin Morley‐Fletcher is a scholar working on Molecular Biology, Statistics and Probability, Cardiology and Cardiovascular Medicine, Finance and Epidemiology, having authored 6 papers that have together received 228 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (2 papers), Congenital Heart Disease Studies (1 paper), Diabetes Management and Research (1 paper), Cardiac Arrhythmias and Treatments (1 paper), Diversity and Impact of Dance (1 paper), Cardiovascular Conditions and Treatments (1 paper), Microbial Metabolic Engineering and Bioproduction (1 paper) and Financial Literacy, Pension, Retirement Analysis (1 paper). The work is most often cited by research in Health Informatics (4 citations), Statistics and Probability (17 citations), Cardiology and Cardiovascular Medicine (41 citations), Epidemiology (46 citations) and Pulmonary and Respiratory Medicine (38 citations). Edwin Morley‐Fletcher has collaborated with scholars based in Italy, United Kingdom and Canada. Frequent co-authors include Adriano Henney, Marco Viceconti, Marcus Kelm, Antonio Camurri, Sarah Whatley, Tyler J. Law, Stephan Schubert, Olivier Ecabert, Yannis Ioannidis and Anja Hennemuth. Their work appears in journals such as Circulation Cardiovascular Interventions, Labour, International Journal of Clinical Trials, Pure (Coventry University) and Zenodo (CERN European Organization for Nuclear Research).
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.