Matt van de Rijn: h-index, Total Citations, and Citation Map
Matt van de Rijn's h-index is 109 (221 i10-index, 90,914+ total citations across 2+ publications) according to Google Scholar as of May 2026. Matt van de Rijn is affiliated with Professor of Pathology, Stanford University.
Matt van de Rijn is a researcher affiliated with Professor of Pathology, Stanford University, specializing in sarcoma, pathology. Their work has been cited 90,914 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Matt van de Rijn's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 109
- i10-Index
- 221
- Total Citations
- 90,914
- Citing Countries
- 7
As of May 2026.
Matt van de Rijn has an h-index of 109 and 90,914 total citations across 2 publications, with research cited by institutions in 7 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
200021,958
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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 published a seminal 2000 Nature paper characterizing molecular portraits of human breast tumors, establishing a foundational framework for molecular classification in oncology.
The researcher provided seminal immunohistochemical and clinical characterization of the basal-like subtype of invasive breast carcinoma, establishing a foundational framework for understanding this aggressive cancer variant.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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