Unclaimed Scholar Profile

Are you Jeffrey T. Leek? This profile has been curated from verified academic registries. Claim your profile to edit affiliations, manage works, and access your dashboard.

Verified ScholarVerified at Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South AfricaASIDASID-5792-2113-3737 orcid.org/0000-0002-2873-2671

Jeffrey T. Leek

Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa•South Africa

Faculty researcher at Cape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa (ZA), specializing in Agricultural, Environmental & Life Sciences. [Discipline: Agricultural, Environmental & Life Sciences] [Scholar Type: Journal Research Scientist] [Career Tier: Distinguished Scholar] [Region: Southern Africa]

#Gene expression and cancer classification #Genomics and Phylogenetic Studies #Single-cell and spatial transcriptomics #Bioinformatics and Genomic Networks

Scholarly Profiles: Google Scholar

Citation Indices

Standard Scientometrics

	All	Since 2021
Citations	28,519	13,689
h-index	53	40
i10-index	78	55

Annual Citation Growth

Verified Citations / Year

2020

1.4k

2021

+40%1.9k

2022

+29%2.5k

2023

+33%3.3k

2024

-8%3.0k

2025

-45%1.6k

2026

Scholarship Distribution & Proportions142 Articles • 0 Books & Monographs • 0 Applied Assignments

Continental Provenance:82% African Regional Citations (23,386) • 18% Global Research Impact (5,133)

142 Indexed WorksAuthentic Data

Co-Authors & Academic Collaborators

Articles & Books (142)

Transcript-level expression analysis of RNA-seq experiments with HISAT, StringTie and Ballgown

Published in Nature Protocols•2016

DOI: 10.1038/nprot.2016.095 Verified Peer-Reviewed

6,708Citations

The sva package for removing batch effects and other unwanted variation in high-throughput experiments

Published in Bioinformatics•2012

DOI: 10.1093/bioinformatics/bts034 Verified Peer-Reviewed

6,125Citations

Tackling the widespread and critical impact of batch effects in high-throughput data

Published in Nature Reviews Genetics•2010

DOI: 10.1038/nrg2825 Verified Peer-Reviewed

2,166Citations

Capturing Heterogeneity in Gene Expression Studies by Surrogate Variable Analysis

Published in PLoS Genetics•2007

DOI: 10.1371/journal.pgen.0030161 Verified Peer-Reviewed

1,863Citations

Ballgown bridges the gap between transcriptome assembly and expression analysis

Published in Nature Biotechnology•2015

DOI: 10.1038/nbt.3172 Verified Peer-Reviewed

853Citations

Showing 1 – 5 of 142 publications

1 / 29

All

Since 2021

Citations

28,519

13,689

h-index

i10-index