Simon Anders: h-index, Total Citations, and Citation Map
Simon Anders's h-index is 50 (74 i10-index, 166,770+ total citations across 114+ publications) according to Google Scholar as of July 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 166,770 times. This profile visualizes their global influence, highlighting strong citation networks in China.
Simon Anders's Citation Metrics
Bibliometric impact based on 114 indexed publications. Of these, 19 are original research articles — the rest are literature highlights, conference abstracts or theses.
- H-Index
- 50
- i10-Index
- 74
- Total Citations
- 166,770
- Citing Countries
- 40
As of July 2026.
Simon Anders has an h-index of 50 and 166,770 total citations across 114 publications, with research cited by institutions in 40 countries.
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Global Impact Map
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
2014102,436
Top Citing Countries
Top Citing Institutions
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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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About Simon Anders's research
Simon Anders is a researcher in biostatistics, high-throughput sequencing and quantum information at Bioquant Center, University of Heidelberg. Their work has been cited 166,770 times across 114 publications (h-index 50), according to Google Scholar.
Their most-cited work, “Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2” (2014), has accumulated 102,436 citations. Other influential works include “HTSeq—a Python framework to work with high-throughput sequencing data” (2015) with 23,759 citations and “Differential expression analysis for sequence count data” (2010) with 19,048 citations.
Citations of Simon Anders's research come primarily from China, United States and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
