Mark D. Robinson Google Scholar: h-index, Total Citations, and Citation Map
Mark D. Robinson's h-index is 86 (159 i10-index, 107,290+ total citations across 303+ publications) according to Google Scholar as of October 2026. Mark D. Robinson is affiliated with University of Zurich.
Mark D. Robinson is a researcher affiliated with University of Zurich, specializing in Statistics, Bioinformatics, Single-Cell Omics. Their work has been cited 107,290 times. This profile visualizes their global influence, highlighting strong citation networks in Australia.
Mark D. Robinson's Citation Metrics
Bibliometric impact based on 303 indexed publications.
- H-Index
- 86
- i10-Index
- 159
- Total Citations
- 107,290
- Citing Countries
- 9
As of October 2026.
Mark D. Robinson has an h-index of 86 and 107,290 total citations across 303 publications, with research cited by institutions in 9 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Mark D. Robinson'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.
edgeR: a Bioconductor package for differential expression analysis of digital gene expression data
201045,764
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 edgeR, a widely adopted Bioconductor package that established a robust statistical framework for differential expression analysis of digital gene expression data.
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 Mark D. Robinson's research
Mark D. Robinson is a researcher in Statistics, Bioinformatics and Single-Cell Omics at University of Zurich. Their work has been cited 107,290 times across 303 publications (h-index 86), according to Google Scholar.
Their most-cited work, “edgeR: a Bioconductor package for differential expression analysis of digital gene expression data” (2010), has accumulated 45,764 citations.
Citations of Mark D. Robinson's research come primarily from Australia, United States and Italy, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
