Antonio González: h-index, Total Citations, and Citation Map
Antonio González's h-index is 83 (142 i10-index, 133,471+ total citations across 266+ publications) according to Google Scholar as of June 2026. Antonio González is affiliated with Bioinformatics Programmer Analyst, UC San Diego.
Antonio González is a researcher affiliated with Bioinformatics Programmer Analyst, UC San Diego, specializing in Computational Biology, New Sequencing Technologies, QIIME. Their work has been cited 133,471 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Antonio González's Citation Metrics
Bibliometric impact based on 266 indexed publications.
- H-Index
- 83
- i10-Index
- 142
- Total Citations
- 133,471
- Citing Countries
- 52
As of June 2026.
Antonio González has an h-index of 83 and 133,471 total citations across 266 publications, with research cited by institutions in 52 countries.
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We've mapped 5,000 of 133,471 citations for Antonio González
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Global Impact Map
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QIIME allows analysis of high-throughput community sequencing data
201039,084
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 QIIME, a foundational software framework enabling the analysis of high-throughput community sequencing data, which has become a standard tool in microbial ecology.
The researcher developed QIIME 2, a highly cited framework enabling reproducible, interactive, scalable, and extensible microbiome data science, as evidenced by its publication in Nature Biotechnology.
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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About Antonio González's research
Antonio González is a researcher in Computational Biology, New Sequencing Technologies and QIIME at Bioinformatics Programmer Analyst, UC San Diego. Their work has been cited 133,471 times across 266 publications (h-index 83), according to Google Scholar.
Their most-cited work, “QIIME allows analysis of high-throughput community sequencing data” (2010), has accumulated 39,084 citations. Other influential works include “Reproducible, interactive, scalable and extensible microbiome data science using QIIME 2” (2019) with 24,329 citations and “Structure, function and diversity of the healthy human microbiome” (2012) with 12,414 citations.
Citations of Antonio González's research come primarily from United States, China and Australia, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
