Diana Eccles: h-index, Total Citations, and Citation Map
Diana Eccles's h-index is 120 (377 i10-index, 66,124+ total citations across 5+ publications) according to Google Scholar as of May 2026. Diana Eccles is affiliated with University of Southampton.
Diana Eccles is a researcher affiliated with University of Southampton, specializing in various fields. Their work has been cited 66,124 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Diana Eccles's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 120
- i10-Index
- 377
- Total Citations
- 66,124
- Citing Countries
- 22
As of May 2026.
Diana Eccles has an h-index of 120 and 66,124 total citations across 5 publications, with research cited by institutions in 22 countries.
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We've mapped 5,000 of 66,124 citations for Diana Eccles
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Top Cited Works
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Average risks of breast and ovarian cancer associated with BRCA1 or BRCA2 mutations detected in case series unselected for family history: a combined analysis of 22 studies
20035,217
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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 low-penetrance CHEK2 breast cancer susceptibility and advanced genome-wide association studies, establishing foundational genetic risk models widely adopted by independent researchers.
The researcher conducted a seminal combined analysis of 22 studies to establish average cancer risks for BRCA1/2 mutations detected in unselected case series.
The researcher identified 65 new breast cancer risk loci through association analysis, establishing a foundational genetic framework for understanding breast cancer susceptibility.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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