Engilbert Sigurdsson: h-index, Total Citations, and Citation Map
Engilbert Sigurdsson's h-index is 64 (111 i10-index, 51,104+ total citations across 5+ publications) according to Google Scholar as of May 2026. Engilbert Sigurdsson is affiliated with Professor of Psychiatry, University of Iceland.
Engilbert Sigurdsson is a researcher affiliated with Professor of Psychiatry, University of Iceland, specializing in Genetics of schizophrenia, bipolar disorder, ADRs. Their work has been cited 51,104 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Engilbert Sigurdsson's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 64
- i10-Index
- 111
- Total Citations
- 51,104
- Citing Countries
- 20
As of May 2026.
Engilbert Sigurdsson has an h-index of 64 and 51,104 total citations across 5 publications, with research cited by institutions in 20 countries.
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Top Cited Works
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Biological Insights From 108 Schizophrenia-Associated Genetic Loci
20148,188
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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 advanced the genetic understanding of schizophrenia and autism by identifying associated loci and risk variants, establishing a highly cited framework for psychiatric genetics.
The researcher established a critical link between Neuregulin 1 and schizophrenia susceptibility, a seminal contribution that has profoundly influenced psychiatric genetics research.
The researcher advanced the genetic understanding of major depression by identifying 44 risk variants and refining its genetic architecture through large-scale genome-wide association analyses.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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