2022 - Research.com Best Scientist Award
2018 - Member of the National Academy of Medicine (NAM)
Member of the European Academy of Sciences and Arts
Member of the Association of American Physicians
His primary areas of investigation include Internal medicine, Meta-analysis, MEDLINE, Randomized controlled trial and Genetics. His study in Internal medicine is interdisciplinary in nature, drawing from both Surgery and Oncology. His work carried out in the field of Meta-analysis brings together such families of science as Genetic marker, Statistics, Parkinson's disease and Bioinformatics.
His MEDLINE research incorporates elements of Research design and Alternative medicine. His Randomized controlled trial research is multidisciplinary, incorporating perspectives in Psychological intervention and Clinical trial. His research investigates the connection between Genetics and topics such as Computational biology that intersect with problems in Replicate.
Internal medicine, Meta-analysis, MEDLINE, Randomized controlled trial and Odds ratio are his primary areas of study. The study incorporates disciplines such as Immunology, Surgery, Oncology and Cardiology in addition to Internal medicine. His Meta-analysis research includes elements of Genome-wide association study, Statistics, Sample size determination, Demography and Genetic association.
John P. A. Ioannidis has researched MEDLINE in several fields, including Research design and Observational study. His Randomized controlled trial study incorporates themes from Psychological intervention, Clinical trial, Alternative medicine and Intensive care medicine. His work deals with themes such as Genetics and Allele, which intersect with Odds ratio.
His primary areas of study are MEDLINE, Meta-analysis, Randomized controlled trial, Coronavirus disease 2019 and Internal medicine. His MEDLINE research is multidisciplinary, incorporating elements of Data sharing, Family medicine and Intensive care medicine. John P. A. Ioannidis usually deals with Meta-analysis and limits it to topics linked to Confidence interval and Odds ratio.
The various areas that John P. A. Ioannidis examines in his Randomized controlled trial study include Psychological intervention, Systematic review, Clinical trial and Observational study. In his work, Epidemiology and Case fatality rate is strongly intertwined with Demography, which is a subfield of Coronavirus disease 2019. His Internal medicine study frequently draws connections between related disciplines such as Oncology.
John P. A. Ioannidis mostly deals with MEDLINE, Meta-analysis, Randomized controlled trial, Systematic review and Demography. His MEDLINE research includes themes of Bibliometrics, Statistics, Medical physics and Family medicine. Meta-analysis is a primary field of his research addressed under Internal medicine.
John P. A. Ioannidis works mostly in the field of Randomized controlled trial, limiting it down to topics relating to Risk analysis and, in certain cases, Research design, as a part of the same area of interest. John P. A. Ioannidis has included themes like Observational study and Replication in his Systematic review study. He interconnects Sample size determination, Pandemic, Coronavirus disease 2019 and Case fatality rate in the investigation of issues within Demography.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate health care interventions: explanation and elaboration
Alessandro Liberati;Douglas G. Altman;Jennifer Tetzlaff;Cynthia Mulrow.
Journal of Clinical Epidemiology (2009)
The PRISMA statement for reporting systematic reviews and meta-analyses of studies that evaluate healthcare interventions: explanation and elaboration
Alessandro Liberati;Douglas G Altman;Jennifer Tetzlaff;Cynthia Mulrow.
BMJ (2009)
Why Most Published Research Findings Are False
John Pa Ioannidis.
Chance (2005)
Power failure: why small sample size undermines the reliability of neuroscience
Katherine S. Button;John P. A. Ioannidis;Claire Mokrysz;Brian A. Nosek.
Nature Reviews Neuroscience (2013)
The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and ElaborationPRISMA: Explanation and Elaboration
Alessandro Liberati;Douglas G. Altman;Jennifer Tetzlaff;Cynthia Mulrow.
Annals of Internal Medicine (2009)
Recommendations for examining and interpreting funnel plot asymmetry in meta-analyses of randomised controlled trials
Jonathan A C Sterne;Alex J Sutton;John P A Ioannidis;Norma Terrin.
BMJ (2011)
Genome-wide association studies for complex traits: consensus, uncertainty and challenges
Mark I. McCarthy;Mark I. McCarthy;Gonçalo R. Abecasis;Lon R. Cardon;Lon R. Cardon;David B. Goldstein.
Nature Reviews Genetics (2008)
Quantitative Synthesis in Systematic Reviews
Joseph Lau;John P.A. Ioannidis;Christopher H. Schmid.
Annals of Internal Medicine (1997)
The PRISMA Extension Statement for Reporting of Systematic Reviews Incorporating Network Meta-analyses of Health Care Interventions: Checklist and Explanations
Brian Hutton;Georgia Salanti;Deborah M Caldwell;Anna Chaimani.
Annals of Internal Medicine (2015)
Replication validity of genetic association studies.
John P.A. Ioannidis;John P.A. Ioannidis;Evangelia E. Ntzani;Thomas A. Trikalinos;Despina G. Contopoulos-Ioannidis;Despina G. Contopoulos-Ioannidis.
Nature Genetics (2001)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:
University of Ioannina
Chinese University of Hong Kong
Centers for Disease Control and Prevention
Imperial College London
University of Ottawa
Erasmus University Rotterdam
deCODE Genetics (Iceland)
deCODE Genetics (Iceland)
University of Lübeck
Vrije Universiteit Amsterdam
Graz University of Technology
University of California, Davis
Information Technology University
Syracuse University
Osaka Prefecture University
Universidade Federal de Santa Catarina
Queen's University
Wageningen University & Research
Swedish Museum of Natural History
Chinese Academy of Sciences
University of Bologna
University of California, Los Angeles
University of Copenhagen
National Institute for Health Research
Old Dominion University
Imperial College London