Michael I. Love: h-index, Total Citations, and Citation Map
Michael I. Love's h-index is 43 (86 i10-index, 133,494+ total citations across 5+ publications) according to Google Scholar as of June 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 133,494 times. This profile visualizes their global influence, highlighting strong citation networks in United States.
Michael I. Love's Citation Metrics
Bibliometric impact based on 5 indexed publications.
- H-Index
- 43
- i10-Index
- 86
- Total Citations
- 133,494
- Citing Countries
- 18
As of June 2026.
Michael I. Love has an h-index of 43 and 133,494 total citations across 5 publications, with research cited by institutions in 18 countries.
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We've mapped 5,000 of 133,494 citations for Michael I. Love
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Global Impact Map
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Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2
201499,055
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Top Citing Institutions
Visa Evidence Package
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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 133,494 times across 5 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 99,055 citations. Other influential works include “Salmon provides fast and bias-aware quantification of transcript expression” (2017) with 13,058 citations and “Differential analyses for RNA-seq: transcript-level estimates improve gene-level inferences” (2016) with 5,259 citations.
Citations of Michael I. Love's research come primarily from United States, Germany and China, reflecting international research impact across 5+ countries. The interactive citation map above shows the full geographic distribution of the institutions citing this work.
