Daniel McDonald: h-index, Total Citations, and Citation Map
Daniel McDonald's h-index is 75 (144 i10-index, 130,501+ total citations across 5+ publications) according to Google Scholar as of May 2026. Daniel McDonald is affiliated with American Gut, Knight Lab, Department of Pediatrics, UCSD.
Daniel McDonald is a researcher affiliated with American Gut, Knight Lab, Department of Pediatrics, UCSD, specializing in microbiome, citizen science. Their work has been cited 130,501 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Daniel McDonald's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 75
- i10-Index
- 144
- Total Citations
- 130,501
- Citing Countries
- 23
As of May 2026.
Daniel McDonald has an h-index of 75 and 130,501 total citations across 5 publications, with research cited by institutions in 23 countries.
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We've mapped 5,000 of 130,501 citations for Daniel McDonald
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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
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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 developed an improved Greengenes taxonomy with explicit ranks, providing a standardized framework for ecological and evolutionary analyses of bacteria and archaea.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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