Standout Papers
- Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression (2015)
- Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator (2016)
- The MR-Base platform supports systematic causal inference across the human phenome (2018)
- Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data (2013)
- Interpreting findings from Mendelian randomization using the MR-Egger method (2017)
- Avoiding bias from weak instruments in Mendelian randomization studies (2011)
- PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations (2019)
- MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data (2017)
- Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants (2016)
- Bias due to participant overlap in two‐sample Mendelian randomization (2016)
- A review of instrumental variable estimators for Mendelian randomization (2015)
- Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors (2015)
- Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects (2015)
- PhenoScanner: a database of human genotype–phenotype associations (2016)
- Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators (2013)
- Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods (2015)
- Sample size and power calculations in Mendelian randomization with a single instrumental variable and a binary outcome (2014)
- A comparison of robust Mendelian randomization methods using summary data (2020)
- A robust and efficient method for Mendelian randomization with hundreds of genetic variants (2020)
- Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies (2016)
- Body mass index and body composition in relation to 14 cardiovascular conditions in UK Biobank: a Mendelian randomization study (2019)
- Mendelian randomization for cardiovascular diseases: principles and applications (2023)
- Combining evidence from Mendelian randomization and colocalization: Review and comparison of approaches (2022)
- Association of inflammation with depression and anxiety: evidence for symptom-specificity and potential causality from UK Biobank and NESDA cohorts (2021)
- A fast and efficient colocalization algorithm for identifying shared genetic risk factors across multiple traits (2021)
- Genome-wide analyses of 200,453 individuals yield new insights into the causes and consequences of clonal hematopoiesis (2022)
- Appraising the causal role of smoking in multiple diseases: A systematic review and meta-analysis of Mendelian randomization studies (2022)
- Causal role of high body mass index in multiple chronic diseases: a systematic review and meta-analysis of Mendelian randomization studies (2021)
- Gene–environment correlations and causal effects of childhood maltreatment on physical and mental health: a genetically informed approach (2021)
- Smoking, alcohol consumption, and 24 gastrointestinal diseases: Mendelian randomization analysis (2023)
- Triglyceride-rich lipoprotein remnants, low-density lipoproteins, and risk of coronary heart disease: a UK Biobank study (2023)
- Lipoprotein(a) Is Markedly More Atherogenic Than LDL (2024)
- Using genetic association data to guide drug discovery and development: Review of methods and applications (2023)
Immediate Impact
1 by Nobel laureates 7 from Science/Nature 70 standout
Citing Papers
Integrating the environmental and genetic architectures of aging and mortality
2025 Standout
Lepodisiran — A Long-Duration Small Interfering RNA Targeting Lipoprotein(a)
2025 Standout
Works of Stephen Burgess being referenced
Lipoprotein(a) Is Markedly More Atherogenic Than LDL
2024 Standout
MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data
2017 Standout
Author Peers
| Author | Last Decade | Papers | Cites | ||||
|---|---|---|---|---|---|---|---|
| Stephen Burgess | 21352 | 4444 | 6938 | 10415 | 327 | 44.7k | |
| Jack Bowden | 13683 | 2447 | 4318 | 6201 | 119 | 28.9k | |
| Claus Christiansen | 7204 | 7521 | 2751 | 11033 | 678 | 44.7k | |
| L. Adrienne Cupples | 7077 | 6814 | 4617 | 7819 | 536 | 42.3k | |
| Steven R. Cummings | 8983 | 6898 | 5334 | 13730 | 621 | 71.2k | |
| Eric Boerwinkle | 12981 | 10231 | 6092 | 13651 | 804 | 46.5k | |
| Hans‐Olov Adami | 7208 | 3756 | 7163 | 6879 | 661 | 47.1k | |
| Steve E. Humphries | 7550 | 9792 | 5914 | 7824 | 860 | 41.5k | |
| Richard N. Bergman | 5833 | 15615 | 6926 | 10689 | 622 | 41.1k | |
| Mark I. McCarthy | 12987 | 5074 | 2992 | 12742 | 509 | 35.2k | |
| Nicholas J. Timpson | 8985 | 1900 | 2961 | 4897 | 245 | 21.4k |
All Works
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