Rafael A Irizarry: h-index, Total Citations, and Citation Map
Rafael A Irizarry's h-index is 102 (221 i10-index, 131,440+ total citations across 2+ publications) according to Google Scholar as of May 2026. Rafael A Irizarry is affiliated with Professor, Biostatistics and Computational Biology, Dana-Farber and Harvard.
Rafael A Irizarry is a researcher affiliated with Professor, Biostatistics and Computational Biology, Dana-Farber and Harvard, specializing in Statistics, Biostatistics, Data Science. Their work has been cited 131,440 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Rafael A Irizarry's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 102
- i10-Index
- 221
- Total Citations
- 131,440
- Citing Countries
- 11
As of May 2026.
Rafael A Irizarry has an h-index of 102 and 131,440 total citations across 2 publications, with research cited by institutions in 11 countries.
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Top Cited Works
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Bioconductor: open software development for computational biology and bioinformatics
200414,987
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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 developed foundational methods for exploring, normalizing, and summarizing high-density oligonucleotide array probe-level data, establishing a critical standard for microarray analysis.
The researcher established Bioconductor as a foundational open-source framework for computational biology, enabling standardized software development and reproducibility in bioinformatics research.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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