Rafael A Irizarry Google Scholar: h-index, Total Citations, and Citation Map
Rafael A Irizarry's h-index is 104 (222 i10-index, 134,760+ total citations across 346+ publications) according to Google Scholar as of October 2026. Rafael A Irizarry is affiliated with Biostatistics and Computational Biology, Dana-Farber and Harvard.
Rafael A Irizarry is a researcher affiliated with Biostatistics and Computational Biology, Dana-Farber and Harvard, specializing in Statistics, Biostatistics, Data Science. Their work has been cited 134,760 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Rafael A Irizarry's Citation Metrics
Bibliometric impact based on 346 indexed publications.
- H-Index
- 104
- i10-Index
- 222
- Total Citations
- 134,760
- Citing Countries
- 43
As of October 2026.
Rafael A Irizarry has an h-index of 104 and 134,760 total citations across 346 publications, with research cited by institutions in 43 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Rafael A Irizarry's citation map is always free. Pay once to download poster, PNG, and CSV files for offline use or your visa packet.
Global Impact Map
Visualizing the geographic distribution of institutions that have cited your work.
Starting…
Pins will appear here as institutions are resolved — no need to refresh.
Bioconductor: open software development for computational biology and bioinformatics
200415,109
Top Citing Countries
Top Citing Institutions
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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Rafael A Irizarry's research
Rafael A Irizarry is a researcher in Statistics, Biostatistics and Data Science at Biostatistics and Computational Biology, Dana-Farber and Harvard. Their work has been cited 134,760 times across 346 publications (h-index 104), according to Google Scholar.
Their most-cited work, “Bioconductor: open software development for computational biology and bioinformatics” (2004), has accumulated 15,109 citations. Other influential works include “Salmon provides fast and bias-aware quantification of transcript expression” (2017) with 13,998 citations and “Exploration, normalization, and summaries of high density oligonucleotide array probe level data” (2003) with 12,879 citations.
Citations of Rafael A Irizarry's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
