Amanda Spurdle: h-index, Total Citations, and Citation Map
Amanda Spurdle's h-index is 111 (393 i10-index, 48,211+ total citations across 5+ publications) according to Google Scholar as of May 2026. Amanda Spurdle is affiliated with QIMR Berghofer Medical Research Institute.
Amanda Spurdle is a researcher affiliated with QIMR Berghofer Medical Research Institute, specializing in population genetics, cancer genetics. Their work has been cited 48,211 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Amanda Spurdle's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 111
- i10-Index
- 393
- Total Citations
- 48,211
- Citing Countries
- 23
As of May 2026.
Amanda Spurdle has an h-index of 111 and 48,211 total citations across 5 publications, with research cited by institutions in 23 countries.
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We've mapped 5,000 of 48,211 citations for Amanda Spurdle
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Global Impact Map
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Top Cited Works
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Genome-wide association study identifies novel breast cancer susceptibility loci
20072,927
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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.
The researcher identified novel breast cancer susceptibility loci through a genome-wide association study, establishing a foundational reference for genetic risk analysis in the field.
The researcher conducted a large-scale association analysis of breast cancer risk genes in over 113,000 women, establishing a seminal reference for genetic risk assessment.
The researcher established foundational guidelines for classifying and reporting sequence variants to improve the interpretation of cancer susceptibility genetic test results.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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