Daniel McDonald Google Scholar: h-index, Total Citations, and Citation Map
Daniel McDonald's h-index is 81 (162 i10-index, 137,088+ total citations across 102+ publications) according to Google Scholar as of October 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 137,088 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Daniel McDonald's Citation Metrics
Bibliometric impact based on 102 indexed publications.
- H-Index
- 81
- i10-Index
- 162
- Total Citations
- 137,088
- Citing Countries
- 60
As of October 2026.
Daniel McDonald has an h-index of 81 and 137,088 total citations across 102 publications, with research cited by institutions in 60 countries.
Download Exports (PNG, CSV, Poster)
Free Viewing Daniel McDonald'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.
QIIME allows analysis of high-throughput community sequencing data
201039,332
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 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)
Related Guides
Learn how to use citation maps for your research and visa applications.
About Daniel McDonald's research
Daniel McDonald is a researcher in microbiome and citizen science at American Gut, Knight Lab, Department of Pediatrics, UCSD. Their work has been cited 137,088 times across 102 publications (h-index 81), according to Google Scholar.
Their most-cited work, “QIIME allows analysis of high-throughput community sequencing data” (2010), has accumulated 39,332 citations. Other influential works include “QIIME allows analysis of high-throughput community sequencing data” (2010) with 38,769 citations and “Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2” (2019) with 27,109 citations.
Citations of Daniel McDonald's research come primarily from United States, China and Germany, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
