Johan Henriksson

4.6k total citations
36 papers, 1.1k citations indexed

About

Johan Henriksson is a scholar working on Immunology, Molecular Biology and Public Health, Environmental and Occupational Health. According to data from OpenAlex, Johan Henriksson has authored 36 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Immunology, 13 papers in Molecular Biology and 7 papers in Public Health, Environmental and Occupational Health. Recurrent topics in Johan Henriksson's work include CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Johan Henriksson is often cited by papers focused on CRISPR and Genetic Engineering (8 papers), Immune Cell Function and Interaction (7 papers) and Genetics, Aging, and Longevity in Model Organisms (5 papers). Johan Henriksson collaborates with scholars based in Sweden, United States and United Kingdom. Johan Henriksson's co-authors include Sarah A. Teichmann, Thomas R. Bürglin, Kedar Nath Natarajan, Tomislav Ilicic, Xuefei Gao, Alex Tuck, Marc Bühler, Pentao Liu, Aleksandra A. Kolodziejczyk and John C. Marioni and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Johan Henriksson

33 papers receiving 1.1k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Johan Henriksson Sweden 17 745 230 123 121 94 36 1.1k
Sanjeev Satyal United States 6 711 1.0× 231 1.0× 134 1.1× 243 2.0× 95 1.0× 8 1.1k
Yamila N. Torres Cleuren Norway 9 1.0k 1.4× 98 0.4× 79 0.6× 84 0.7× 85 0.9× 15 1.3k
Jennifer Oki United States 5 1.2k 1.6× 135 0.6× 56 0.5× 80 0.7× 104 1.1× 5 1.5k
María Vera United States 17 937 1.3× 332 1.4× 37 0.3× 54 0.4× 79 0.8× 36 1.4k
Xiaobin Zheng United States 22 949 1.3× 135 0.6× 69 0.6× 56 0.5× 78 0.8× 37 1.3k
Robin M. Meyers United States 14 1.6k 2.2× 482 2.1× 66 0.5× 188 1.6× 116 1.2× 21 2.0k
Fabiana M. Duarte United States 12 1.1k 1.5× 110 0.5× 83 0.7× 99 0.8× 213 2.3× 18 1.3k
Samantha Cooper United States 14 515 0.7× 117 0.5× 83 0.7× 201 1.7× 152 1.6× 20 940
R. Nicholas Laribee United States 18 899 1.2× 276 1.2× 21 0.2× 140 1.2× 76 0.8× 29 1.3k
John T. Lis United States 21 2.0k 2.7× 118 0.5× 134 1.1× 121 1.0× 122 1.3× 38 2.2k

Countries citing papers authored by Johan Henriksson

Since Specialization
Citations

This map shows the geographic impact of Johan Henriksson's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Johan Henriksson with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Johan Henriksson more than expected).

Fields of papers citing papers by Johan Henriksson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Johan Henriksson. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Johan Henriksson. The network helps show where Johan Henriksson may publish in the future.

Co-authorship network of co-authors of Johan Henriksson

This figure shows the co-authorship network connecting the top 25 collaborators of Johan Henriksson. A scholar is included among the top collaborators of Johan Henriksson based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Johan Henriksson. Johan Henriksson is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Selinger, Martin, et al.. (2025). A scalable CRISPR-Cas9 gene editing system facilitates CRISPR screens in the malaria parasite Plasmodium berghei. Nucleic Acids Research. 53(2). 2 indexed citations
2.
Selinger, Martin, et al.. (2025). Telomemore enables single-cell analysis of cell cycle and chromatin condensation. Nucleic Acids Research. 53(3).
3.
Reiter, Wolfgang, Thomas Krausgruber, Lina Dobnikar, et al.. (2025). Single-cell and chromatin accessibility profiling reveals regulatory programs of pathogenic Th2 cells in allergic asthma. Nature Communications. 16(1). 2565–2565. 1 indexed citations
4.
Poiret, Thomas, Mahdi Mohammadpour, Johan Henriksson, et al.. (2025). Production of functional CD19 CAR T cells under hypoxic manufacturing conditions. Frontiers in Immunology. 16. 1675786–1675786.
5.
6.
Chotiwan, Nunya, Emma Nilsson, Richard Lindqvist, et al.. (2023). Type I interferon shapes brain distribution and tropism of tick-borne flavivirus. Nature Communications. 14(1). 2007–2007. 16 indexed citations
7.
Wang, Jing, Lars Nilsson, Anjali Pandey, et al.. (2023). Dissecting the genetic landscape of GPCR signaling through phenotypic profiling in C. elegans. Nature Communications. 14(1). 8410–8410. 13 indexed citations
8.
Bhandage, Amol K., et al.. (2023). scDual-Seq of Toxoplasma gondii-infected mouse BMDCs reveals heterogeneity and differential infection dynamics. Frontiers in Immunology. 14. 1224591–1224591. 4 indexed citations
9.
Becker, Miriam, Lars Frängsmyr, B. David Persson, et al.. (2022). Serine Protease Inhibitors Restrict Host Susceptibility to SARS-CoV-2 Infections. mBio. 13(3). e0089222–e0089222. 13 indexed citations
10.
Vielfort, Katarina, et al.. (2019). Insertional mutagenesis in the zoonotic pathogen Chlamydia caviae. PLoS ONE. 14(11). e0224324–e0224324. 11 indexed citations
11.
Miragaia, Ricardo J., Xiuwei Zhang, Tomás Gomes, et al.. (2018). Single-cell RNA-sequencing resolves self-antigen expression during mTEC development. Scientific Reports. 8(1). 685–685. 30 indexed citations
12.
Severo, Maiara S., Jonathan J. M. Landry, Randall L. Lindquist, et al.. (2018). Unbiased classification of mosquito blood cells by single-cell genomics and high-content imaging. Proceedings of the National Academy of Sciences. 115(32). E7568–E7577. 49 indexed citations
13.
14.
Dahlman, Ingrid, Indranil Sinha, Hui Gao, et al.. (2015). The fat cell epigenetic signature in post-obese women is characterized by global hypomethylation and differential DNA methylation of adipogenesis genes. International Journal of Obesity. 39(6). 910–919. 76 indexed citations
15.
Henriksson, Johan, et al.. (2013). Distinct roles of the Gcn5 histone acetyltransferase revealed during transient stress-induced reprogramming of the genome. BMC Genomics. 14(1). 479–479. 29 indexed citations
16.
Henriksson, Johan, et al.. (2013). Finding Ciliary Genes. Methods in enzymology on CD-ROM/Methods in enzymology. 525. 327–350. 6 indexed citations
17.
Lindvall, Jessica M., Henok Kassahun, Silvia Maglioni, et al.. (2013). Active transcriptomic and proteomic reprogramming in the C. elegans nucleotide excision repair mutant xpa-1. Nucleic Acids Research. 41(10). 5368–5381. 36 indexed citations
18.
19.
Hench, Jürgen, et al.. (2009). Mitochondrial DNA level, but not active replicase, is essential for Caenorhabditis elegans development. Nucleic Acids Research. 37(6). 1817–1828. 86 indexed citations
20.
Hench, Jürgen, et al.. (2009). Spatio-temporal reference model of Caenorhabditis elegans embryogenesis with cell contact maps. Developmental Biology. 333(1). 1–13. 26 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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