Martin Vingron: h-index, Total Citations, and Citation Map
Martin Vingron's h-index is 95 (288 i10-index, 51,621+ total citations across 5+ publications) according to Google Scholar as of May 2026. Martin Vingron is affiliated with Max-Planck-Institut für molekulare Genetik.
Martin Vingron is a researcher affiliated with Max-Planck-Institut für molekulare Genetik, specializing in Computational Biology. Their work has been cited 51,621 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Martin Vingron's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 95
- i10-Index
- 288
- Total Citations
- 51,621
- Citing Countries
- 23
As of May 2026.
Martin Vingron has an h-index of 95 and 51,621 total citations across 5 publications, with research cited by institutions in 23 countries.
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Top Cited Works
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Minimum information about a microarray experiment (MIAME)—toward standards for microarray data
20015,143
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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 established MIAME, a seminal standard for microarray data reporting that significantly improved experimental transparency and reproducibility in genomic research.
The researcher developed TREE-PUZZLE, a seminal method for maximum likelihood phylogenetic analysis using quartets and parallel computing, establishing a foundational tool in computational biology.
The researcher developed variance stabilization methods for microarray data calibration and differential expression quantification, establishing a foundational statistical framework widely adopted in bioinformatics.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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