Stephen Burgess
Impact in
- Genetics top 0.02%
- Genetic Associations and Epidemiology
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Biological Psychiatry top 0.5%
Papers in
- Genetics 210
- Genetic Associations and Epidemiology 192
- Genetic and phenotypic traits in livestock 53
- Genetic Mapping and Diversity in Plants and Animals 28
- Nutrition, Genetics, and Disease 12
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- Advanced Causal Inference Techniques 23
- Co-authors
- Simon G. Thompson (16 shared papers)George Davey Smith (24 shared papers)Jack Bowden (10 shared papers)Adam S. Butterworth (17 shared papers)Simon G. Thompson (4 shared papers)Philip Haycock (3 shared papers)Susanna C. Larsson (73 shared papers)Neil M Davies (11 shared papers)
- Journals
- International Journal of Epidemiology (29 papers)Journal of the American Heart Association (15 papers)BMC Medicine (14 papers)European Journal of Epidemiology (14 papers)Nature Communications (13 papers)
- Partner nations
- United KingdomUnited StatesSweden
In The Last Decade
Stephen Burgess
436 papers receiving 67.9k citations
Stephen Burgess's Hit Papers
Peers
Comparison fields: 5 of 204
- Genetics 18.9k
- Biological Psychiatry 900
- Endocrinology, Diabetes and Metabolism 3.9k
- Rheumatology 3.5k
- Nephrology 1.5k
Countries citing papers authored by Stephen Burgess
This map shows the geographic impact of Stephen Burgess'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 Stephen Burgess with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Burgess more than expected).
Fields of papers citing papers by Stephen Burgess
This network shows the impact of papers produced by Stephen Burgess. 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 Stephen Burgess. The network helps show where Stephen Burgess may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Burgess, 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 457 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression Hit paper breakdown → | 2015 | 6463 |
| 2 | Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator Hit paper breakdown → | 2016 | 5878 |
| 3 | The MR-Base platform supports systematic causal inference across the human phenome Hit paper breakdown → | 2018 | 5188 |
| 4 | Mendelian Randomization Analysis With Multiple Genetic Variants Using Summarized Data Hit paper breakdown → | 2013 | 3932 |
| 5 | Interpreting findings from Mendelian randomization using the MR-Egger method Hit paper breakdown → | 2017 | 3018 |
| 6 | Avoiding bias from weak instruments in Mendelian randomization studies Hit paper breakdown → | 2011 | 2469 |
| 7 | PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations Hit paper breakdown → | 2019 | 1443 |
| 8 | Genomic atlas of the human plasma proteome Hit paper breakdown → | 2018 | 1433 |
| 9 | MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data Hit paper breakdown → | 2017 | 1382 |
| 10 | Sensitivity Analyses for Robust Causal Inference from Mendelian Randomization Analyses with Multiple Genetic Variants Hit paper breakdown → | 2016 | 1345 |
| 11 | Guidelines for performing Mendelian randomization investigations Hit paper breakdown → | 2019 | 1293 |
| 12 | Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors Hit paper breakdown → | 2015 | 1172 |
| 13 | A review of instrumental variable estimators for Mendelian randomization Hit paper breakdown → | 2015 | 1154 |
| 14 | Bias due to participant overlap in two‐sample Mendelian randomization Hit paper breakdown → | 2016 | 1138 |
| 15 | Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects Hit paper breakdown → | 2015 | 1107 |
| 16 | Guidelines for performing Mendelian randomization investigations Hit paper breakdown → | 2020 | 1073 |
| 17 | PhenoScanner: a database of human genotype–phenotype associations Hit paper breakdown → | 2016 | 1038 |
| 18 | Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators Hit paper breakdown → | 2013 | 952 |
| 19 | Association of Cardiometabolic Multimorbidity With Mortality Hit paper breakdown → | 2015 | 820 |
| 20 | Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods Hit paper breakdown → | 2015 | 787 |
About Stephen Burgess
Stephen Burgess is a scholar working on Genetics, Statistics and Probability, Endocrinology, Diabetes and Metabolism, Cardiology and Cardiovascular Medicine and Epidemiology, having authored 457 papers that have together received 68.5k indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (192 papers), Genetic and phenotypic traits in livestock (53 papers), Genetic Mapping and Diversity in Plants and Animals (28 papers), Advanced Causal Inference Techniques (23 papers), Liver Disease Diagnosis and Treatment (18 papers), Lipoproteins and Cardiovascular Health (15 papers), Folate and B Vitamins Research (15 papers) and Nutrition, Genetics, and Disease (12 papers). The work is most often cited by research in Genetics (18.9k citations), Biological Psychiatry (900 citations), Endocrinology, Diabetes and Metabolism (3.9k citations), Rheumatology (3.5k citations) and Nephrology (1.5k citations). Stephen Burgess has collaborated with scholars based in United Kingdom, United States and Sweden. Frequent co-authors include Simon G. Thompson, George Davey Smith, Jack Bowden, Adam S. Butterworth, Simon G. Thompson, Philip Haycock, Susanna C. Larsson, Neil M Davies, Caroline L. Relton and Dipender Gill. Their work appears in journals such as International Journal of Epidemiology, Journal of the American Heart Association, BMC Medicine, European Journal of Epidemiology 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.