George Davey Smith: h-index, Total Citations, and Citation Map
George Davey Smith's h-index is 305 (1926 i10-index, 483,510+ total citations across 5+ publications) according to Google Scholar as of May 2026. George Davey Smith is affiliated with Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol.
George Davey Smith is a researcher affiliated with Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, specializing in Genetics, epidemiology. Their work has been cited 483,510 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
George Davey Smith's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 305
- i10-Index
- 1926
- Total Citations
- 483,510
- Citing Countries
- 26
As of May 2026.
George Davey Smith has an h-index of 305 and 483,510 total citations across 5 publications, with research cited by institutions in 26 countries.
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We've mapped 5,000 of 483,510 citations for George Davey Smith
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Global Impact Map
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Top Cited Works
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Bias in meta-analysis detected by a simple, graphical test
199757,636
Top Citing Countries
Top Citing Institutions
Visa Evidence Package
Views and exports tuned for EB-1A, O-1A, and EB-2 NIW petitions. Sustained acclaim, geographic reach, and independent-citation filtering are the strongest evidence categories immigration adjudicators look for.
Significant Contributions
Auto-detected research lines — a seminal paper and the follow-up work building on it. Review and edit before using in a petition. Each Free PDF opens in a new tab — EB-1A organises this into the structure USCIS applies to Criterion 5 of 8 CFR § 204.5(h)(3)(v); EB-1B re-frames it under § 204.5(i)(3) (outstanding researcher); NIW presents it under prong 2 of Matter of Dhanasar.
4 citing papers could not be classified (no author data) — excluded from the percentages above.
The researcher developed a simple graphical test to detect bias in meta-analysis, a seminal contribution published in the BMJ that has garnered over 57,000 citations.
The researcher developed a weighted median estimator for Mendelian randomization that ensures consistent estimation even when some genetic instruments are invalid.
The researcher pioneered the application of Mendelian randomization to elucidate environmental determinants of disease, establishing a foundational framework for genetic epidemiology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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