Ash A. Alizadeh, MD, PhD: h-index, Total Citations, and Citation Map
Ash A. Alizadeh, MD, PhD's h-index is 103 (210 i10-index, 96,712+ total citations across 2+ publications) according to Google Scholar as of May 2026. Ash A. Alizadeh, MD, PhD is affiliated with Stanford University, Moghadam Family Professor of Medicine.
Ash A. Alizadeh, MD, PhD is a researcher affiliated with Stanford University, Moghadam Family Professor of Medicine, specializing in Liquid Biopsies, ctDNA, Cancer Systems Biology. Their work has been cited 96,712 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Ash A. Alizadeh, MD, PhD's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 103
- i10-Index
- 210
- Total Citations
- 96,712
- Citing Countries
- 10
As of May 2026.
Ash A. Alizadeh, MD, PhD has an h-index of 103 and 96,712 total citations across 2 publications, with research cited by institutions in 10 countries.
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Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling
200013,192
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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 pioneered the molecular classification of diffuse large B-cell lymphoma using gene expression profiling, establishing a foundational framework for understanding disease heterogeneity.
The researcher developed a robust computational method for enumerating cell subsets from tissue expression profiles, establishing a foundational standard for single-cell data analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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