Michael Dodds
Impact in
- Statistics and Probability top 5%
- Statistical Methods in Clinical Trials
Papers in
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- Statistical Methods in Clinical Trials 6
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- COVID-19 Clinical Research Studies 5
- SARS-CoV-2 and COVID-19 Research 3
- Co-authors
- Paolo Vicini (5 shared papers)Andrew C. Hooker (2 shared papers)Philip S. Stewart (1 shared paper)Craig R. Rayner (6 shared papers)Megan A. Gibbs (2 shared papers)John P. Gibbs (3 shared papers)Jasmine P. Davda (1 shared paper)Darren Bentley (2 shared papers)
- Journals
- British Journal of Clinical Pharmacology (5 papers)Clinical Pharmacokinetics (2 papers)Annals of Biomedical Engineering (2 papers)Frontiers in Immunology (2 papers)Nature Communications (1 paper)
- Partner nations
- United StatesAustraliaUnited Kingdom
In The Last Decade
Michael Dodds
29 papers receiving 537 citations
Peers
Comparison fields: 5 of 78
- Virology 28
- Statistics and Probability 76
- Infectious Diseases 93
- Modeling and Simulation 18
- Pediatrics, Perinatology and Child Health 44
Countries citing papers authored by Michael Dodds
This map shows the geographic impact of Michael Dodds'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 Michael Dodds with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael Dodds more than expected).
Fields of papers citing papers by Michael Dodds
This network shows the impact of papers produced by Michael Dodds. 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 Michael Dodds. The network helps show where Michael Dodds may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Dodds, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 29 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 59 | |
| 2 | 2005 | 46 | |
| 3 | 2014 | 43 | |
| 4 | 2023 | 42 | |
| 5 | 2016 | 41 | |
| 6 | 2015 | 38 | |
| 7 | 2021 | 35 | |
| 8 | 2020 | 31 | |
| 9 | 2020 | 30 | |
| 10 | 2003 | 25 | |
| 11 | 2005 | 24 | |
| 12 | 2008 | 21 | |
| 13 | 2019 | 20 | |
| 14 | 2020 | 18 | |
| 15 | 2015 | 15 | |
| 16 | 2004 | 13 | |
| 17 | 2021 | 13 | |
| 18 | 2022 | 9 | |
| 19 | 2023 | 6 | |
| 20 | 2005 | 5 |
About Michael Dodds
Michael Dodds is a scholar working on Statistics and Probability, Infectious Diseases, Pediatrics, Perinatology and Child Health, Radiology, Nuclear Medicine and Imaging and Virology, having authored 29 papers that have together received 560 indexed citations. Recurring topics across this work include Statistical Methods in Clinical Trials (6 papers), COVID-19 Clinical Research Studies (5 papers), Pharmaceutical studies and practices (4 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Optimal Experimental Design Methods (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Lipoproteins and Cardiovascular Health (2 papers) and CAR-T cell therapy research (2 papers). The work is most often cited by research in Virology (28 citations), Statistics and Probability (76 citations), Infectious Diseases (93 citations), Modeling and Simulation (18 citations) and Pediatrics, Perinatology and Child Health (44 citations). Michael Dodds has collaborated with scholars based in United States, Australia and United Kingdom. Frequent co-authors include Paolo Vicini, Andrew C. Hooker, Philip S. Stewart, Craig R. Rayner, Megan A. Gibbs, John P. Gibbs, Jasmine P. Davda, Darren Bentley, Patrick F. Smith and António Gonçalves. Their work appears in journals such as British Journal of Clinical Pharmacology, Clinical Pharmacokinetics, Annals of Biomedical Engineering, Frontiers in Immunology and Nature Communications.
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.