Charles M. Perou: h-index, Total Citations, and Citation Map
Charles M. Perou's h-index is 191 (488 i10-index, 320,254+ total citations across 3+ publications) according to Google Scholar as of May 2026. Charles M. Perou is affiliated with University of North Carolina at Chapel Hill.
Charles M. Perou is a researcher affiliated with University of North Carolina at Chapel Hill, specializing in Breast Cancer, Cancer, Genetics. Their work has been cited 320,254 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Charles M. Perou's Citation Metrics
Bibliometric impact based on 3 indexed publications.
- H-Index
- 191
- i10-Index
- 488
- Total Citations
- 320,254
- Citing Countries
- 15
As of May 2026.
Charles M. Perou has an h-index of 191 and 320,254 total citations across 3 publications, with research cited by institutions in 15 countries.
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Global Impact Map
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Top Cited Works
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Molecular portraits of human breast tumours
200021,930
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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 established a foundational molecular classification framework for human breast tumors, fundamentally shifting the understanding of breast cancer heterogeneity through high-impact genomic profiling.
The researcher established a gene expression-based classification system for breast carcinomas that distinguishes tumor subclasses with significant clinical implications.
The researcher established a genomic classification framework for glioblastoma subtypes, identifying clinically relevant molecular abnormalities that have become a foundational reference in neuro-oncology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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