Michael I. Love Google Scholar: h-index, Total Citations, and Citation Map
Michael I. Love's h-index is 43 (89 i10-index, 140,915+ total citations across 100+ publications) according to Google Scholar as of October 2026. Michael I. Love is affiliated with Associate Professor, Genetics and Biostatistics, UNC-Chapel Hill.
Michael I. Love is a researcher affiliated with Associate Professor, Genetics and Biostatistics, UNC-Chapel Hill, specializing in statistics, biostatistics, genomics. Their work has been cited 140,915 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael I. Love's Citation Metrics
Bibliometric impact based on 100 indexed publications.
- H-Index
- 43
- i10-Index
- 89
- Total Citations
- 140,915
- Citing Countries
- 54
As of October 2026.
Michael I. Love has an h-index of 43 and 140,915 total citations across 100 publications, with research cited by institutions in 54 countries.
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Global Impact Map
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
2014104,468
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Top Citing Institutions
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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 DESeq2, a seminal statistical framework for moderated estimation of fold change and dispersion in RNA-seq data, establishing a standard for differential expression analysis.
The researcher developed a foundational framework for orchestrating high-throughput genomic analysis using Bioconductor, establishing a standard for reproducible computational biology workflows.
The researcher developed MAGeCK, a computational framework enabling robust identification of essential genes from genome-scale CRISPR/Cas9 knockout screens, establishing a standard for high-throughput genetic analysis.
Citation trend (last 10 years)Click to expand
Citation Trend (Last 10 Years)
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About Michael I. Love's research
Michael I. Love is a researcher in statistics, biostatistics and genomics at Associate Professor, Genetics and Biostatistics, UNC-Chapel Hill. Their work has been cited 140,915 times across 100 publications (h-index 43), according to Google Scholar.
Their most-cited work, “Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2” (2014), has accumulated 104,468 citations. Other influential works include “Salmon provides fast and bias-aware quantification of transcript expression” (2017) with 13,870 citations and “Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences” (2016) with 5,575 citations.
Citations of Michael I. Love's research come primarily from United States, China and United Kingdom, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
