Ole A. Andreassen: h-index, Total Citations, and Citation Map
Ole A. Andreassen's h-index is 167 (1142 i10-index, 172,077+ total citations across 2+ publications) according to Google Scholar as of May 2026. Ole A. Andreassen is affiliated with Professor of Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway.
Ole A. Andreassen is a researcher affiliated with Professor of Medicine, University of Oslo, Oslo University Hospital, Oslo, Norway, specializing in Psychiatric Genetics, Psychopharmacology, Brain Imaging. Their work has been cited 172,077 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ole A. Andreassen's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 167
- i10-Index
- 1142
- Total Citations
- 172,077
- Citing Countries
- 16
As of May 2026.
Ole A. Andreassen has an h-index of 167 and 172,077 total citations across 2 publications, with research cited by institutions in 16 countries.
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Top Cited Works
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Biological insights from 108 schizophrenia-associated genetic loci
20148,259
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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 provided seminal biological insights into schizophrenia by analyzing 108 associated genetic loci, establishing a foundational framework for understanding the disorder's genetic architecture.
The researcher developed LD Score regression to distinguish confounding from polygenicity in genome-wide association studies, a method that has become a standard tool for interpreting GWAS results.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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