Simon Anders: h-index, Total Citations, and Citation Map
Simon Anders's h-index is 49 (76 i10-index, 162,376+ total citations across 2+ publications) according to Google Scholar as of May 2026. Simon Anders is affiliated with Bioquant Center, University of Heidelberg.
Simon Anders is a researcher affiliated with Bioquant Center, University of Heidelberg, specializing in biostatistics, high-throughput sequencing, quantum information. Their work has been cited 162,376 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Simon Anders's Citation Metrics
Bibliometric impact based on 2 indexed publications.
- H-Index
- 49
- i10-Index
- 76
- Total Citations
- 162,376
- Citing Countries
- 9
As of May 2026.
Simon Anders has an h-index of 49 and 162,376 total citations across 2 publications, with research cited by institutions in 9 countries.
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We've mapped 5,000 of 162,376 citations for Simon Anders
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Global Impact Map
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Top Cited Works
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
201499,107
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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 DESeq2, a seminal statistical framework for RNA-seq data analysis that enables moderated estimation of fold change and dispersion, establishing a standard tool for the field.
The researcher developed HTSeq, a widely adopted Python framework that standardized the processing of high-throughput sequencing data, significantly advancing bioinformatics workflows.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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