Lauren Ancel Meyers: h-index, Total Citations, and Citation Map
Lauren Ancel Meyers's h-index is 70 (157 i10-index, 20,980+ total citations across 5+ publications) according to Google Scholar as of May 2026. Lauren Ancel Meyers is affiliated with Professor of Integrative Biology, The University of Texas at Austin.
Lauren Ancel Meyers is a researcher affiliated with Professor of Integrative Biology, The University of Texas at Austin, specializing in infectious disease epidemiology, network modeling, viral evolution. Their work has been cited 20,980 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Lauren Ancel Meyers's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 70
- i10-Index
- 157
- Total Citations
- 20,980
- Citing Countries
- 22
As of May 2026.
Lauren Ancel Meyers has an h-index of 70 and 20,980 total citations across 5 publications, with research cited by institutions in 22 countries.
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Global Impact Map
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Top Cited Works
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Network theory and SARS: predicting outbreak diversity
2005942
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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 pioneered the application of network theory to predict SARS outbreak diversity, establishing a foundational framework for modeling complex disease transmission dynamics.
The researcher advanced epidemiological modeling by integrating individual behavioral heterogeneity into network frameworks, challenging traditional homogeneous assumptions.
The researcher established a foundational framework for understanding the evolution and detection of genetic robustness, a seminal contribution that has significantly influenced subsequent research in evolutionary biology.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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