ProfessorsProfessors of Karolinska InstitutetAnton JM Larsson

Anton JM Larsson

Karolinska Institutet

H-index: 7

Europe-Sweden

About Anton JM Larsson

Anton JM Larsson, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Karolinska Institutet, specializes in the field of Computational Biology, Bioinformatics, Genomics.

His recent articles reflect a diverse array of research interests and contributions to the field:

NASC-seq2 Protocol

Principles of transcriptional bursting in mammalian cells

Divergent clonal differentiation trajectories establish CD8+ memory T cell heterogeneity during acute viral infections in humans

Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance

Single-cell RNA counting at allele and isoform resolution using Smart-seq3

Smart-seq3 protocol

Smart-seq3 protocol V3

Anton JM Larsson Information

University	Karolinska Institutet
Position	___
Citations(all)	1097
Citations(since 2020)	1085
Cited By	319
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	7
i10Index(since 2020)	7
Email	Access Email
University Profile Page	Karolinska Institutet
Google Scholar	View Google Scholar Profile

Anton JM Larsson Skills & Research Interests

Computational Biology

Bioinformatics

Genomics

Top articles of Anton JM Larsson

Title	Journal	Author(s)	Publication Date
NASC-seq2 Protocol		Gert-Jan Hendriks Daniel Ramsköld Anton Larsson Juliane Mayr Christoph Ziegenhain ...	2023/4/12
Principles of transcriptional bursting in mammalian cells		Anton Larsson	2023
Divergent clonal differentiation trajectories establish CD8+ memory T cell heterogeneity during acute viral infections in humans	Cell Reports	Jeff E Mold Laurent Modolo Joanna Hård Margherita Zamboni Anton JM Larsson ...	2021/5/25
Transcriptional bursts explain autosomal random monoallelic expression and affect allelic imbalance	PLoS computational biology	Anton JM Larsson Christoph Ziegenhain Michael Hagemann-Jensen Björn Reinius Tina Jacob ...	2021/3/9
Single-cell RNA counting at allele and isoform resolution using Smart-seq3	Nature Biotechnology	Michael Hagemann-Jensen Christoph Ziegenhain Ping Chen Daniel Ramsköld Gert-Jan Hendriks ...	2020/5/4
Smart-seq3 protocol		Michael Hagemann-Jensen Christoph Ziegenhain Ping Chen Daniel Ramsköld Gert-Jan Hendriks ...	2020/2/19
Smart-seq3 protocol V3		Michael Hagemann-Jensen Christoph Ziegenhain Ping Chen Daniel Ramsköld Gert-Jan Hendriks ...	2020/2/13