Dan Knights: h-index, Total Citations, and Citation Map
Dan Knights's h-index is 82 (145 i10-index, 149,170+ total citations across 5+ publications) according to Google Scholar as of May 2026. Dan Knights is affiliated with University of Minnesota.
Dan Knights is a researcher affiliated with University of Minnesota, specializing in Computational Biology, Machine Learning, Bioinformatics. Their work has been cited 149,170 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Dan Knights's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 82
- i10-Index
- 145
- Total Citations
- 149,170
- Citing Countries
- 25
As of May 2026.
Dan Knights has an h-index of 82 and 149,170 total citations across 5 publications, with research cited by institutions in 25 countries.
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We've mapped 5,000 of 149,170 citations for Dan Knights
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Global Impact Map
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Top Cited Works
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QIIME allows analysis of high-throughput community sequencing data
201038,769
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 foundational methods for predictive functional profiling of microbial communities and established scalable, reproducible data science frameworks for microbiome analysis.
The researcher developed QIIME, a foundational software framework enabling the analysis of high-throughput community sequencing data, as evidenced by its publication in Nature Methods and extensive citation record.
The researcher established a foundational framework for characterizing the structure, function, and diversity of the healthy human microbiome through a seminal, highly cited publication.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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