Jonathan Cairns

3.7k total citations
26 papers, 1.1k citations indexed

About

Jonathan Cairns is a scholar working on Molecular Biology, Genetics and Plant Science. According to data from OpenAlex, Jonathan Cairns has authored 26 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 7 papers in Genetics and 4 papers in Plant Science. Recurrent topics in Jonathan Cairns's work include Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (6 papers) and Single-cell and spatial transcriptomics (4 papers). Jonathan Cairns is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), RNA Research and Splicing (6 papers) and Single-cell and spatial transcriptomics (4 papers). Jonathan Cairns collaborates with scholars based in United Kingdom, United States and Sweden. Jonathan Cairns's co-authors include Steven Wingett, Peter Fraser, Mikhail Spivakov, Biola M. Javierre, Paula Freire-Pritchett, Stefan Schoenfelder, Csilla Várnai, Mayra Furlan-Magaril, Cameron S. Osborne and Andy G. Lynch and has published in prestigious journals such as Nature Genetics, Nature Biotechnology and Molecular Cell.

In The Last Decade

Jonathan Cairns

25 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
Jonathan Cairns United Kingdom 14 885 183 143 91 82 26 1.1k
Ningning Niu China 16 717 0.8× 273 1.5× 93 0.7× 178 2.0× 252 3.1× 34 1.1k
Jong Hyun Kim South Korea 18 466 0.5× 45 0.2× 72 0.5× 56 0.6× 43 0.5× 33 673
Mark R. Silvis United States 13 662 0.7× 72 0.4× 58 0.4× 89 1.0× 134 1.6× 19 1.1k
Na‐Yu Chia Singapore 6 1.2k 1.3× 326 1.8× 147 1.0× 215 2.4× 144 1.8× 8 1.4k
Jan P. Gerlach Netherlands 10 864 1.0× 59 0.3× 86 0.6× 100 1.1× 150 1.8× 12 1.1k
Yeun Kyu Jang South Korea 17 763 0.9× 94 0.5× 86 0.6× 92 1.0× 100 1.2× 44 872
Florie Borel United States 15 695 0.8× 87 0.5× 232 1.6× 339 3.7× 140 1.7× 23 1.1k
Dan Hasson United States 20 1.4k 1.5× 404 2.2× 247 1.7× 184 2.0× 176 2.1× 38 1.6k
Lea Jessop United States 13 1.1k 1.2× 168 0.9× 108 0.8× 155 1.7× 177 2.2× 22 1.3k
Verónica Ayllón Spain 23 1.1k 1.2× 84 0.5× 114 0.8× 180 2.0× 171 2.1× 42 1.4k

Countries citing papers authored by Jonathan Cairns

Since Specialization
Citations

This map shows the geographic impact of Jonathan Cairns'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 Jonathan Cairns with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonathan Cairns more than expected).

Fields of papers citing papers by Jonathan Cairns

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jonathan Cairns. 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 Jonathan Cairns. The network helps show where Jonathan Cairns may publish in the future.

Co-authorship network of co-authors of Jonathan Cairns

This figure shows the co-authorship network connecting the top 25 collaborators of Jonathan Cairns. A scholar is included among the top collaborators of Jonathan Cairns 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 Jonathan Cairns. Jonathan Cairns 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.
Kim, Chang Sik, Jonathan Cairns, Valentina Quarantotti, et al.. (2024). A statistical simulation model to guide the choices of analytical methods in arrayed CRISPR screen experiments. PLoS ONE. 19(8). e0307445–e0307445.
2.
Kanebratt, Kajsa P., Charlotte Wennberg Huldt, Lisa U. Magnusson, et al.. (2024). Normoglycemia and physiological cortisone level maintain glucose homeostasis in a pancreas-liver microphysiological system. Communications Biology. 7(1). 877–877. 4 indexed citations
3.
Cairns, Jonathan, Kainat Khan, Gareth Maglennon, et al.. (2023). Optimal experimental design for efficient toxicity testing in microphysiological systems: A bone marrow application. Frontiers in Pharmacology. 14. 1142581–1142581. 8 indexed citations
4.
Angermann, Bastian R., et al.. (2023). P879 Clinical significance of plasma interleukin-22 as a biomarker of inflammation in patients with Crohn’s disease and ulcerative colitis. Journal of Crohn s and Colitis. 17(Supplement_1). i996–i997. 1 indexed citations
5.
Gehrmann, Ulf, et al.. (2023). P025 Colonic rather than ileal expression of ITGA4/ITGB7 correlates with local intestinal inflammation in IBD. Journal of Crohn s and Colitis. 17(Supplement_1). i195–i196. 1 indexed citations
6.
Gill, Sonja J., Paul W.G. Wijnhoven, Jacqueline H. L. Fok, et al.. (2021). Radiopotentiation Profiling of Multiple Inhibitors of the DNA Damage Response for Early Clinical Development. Molecular Cancer Therapeutics. 20(9). 1614–1626. 17 indexed citations
7.
Freire-Pritchett, Paula, Helen Ray-Jones, Chris Eijsbouts, et al.. (2021). Detecting chromosomal interactions in Capture Hi-C data with CHiCAGO and companion tools. Nature Protocols. 16(9). 4144–4176. 15 indexed citations
8.
Furlan-Magaril, Mayra, Masami Ando‐Kuri, Rodrigo G. Arzate‐Mejía, et al.. (2021). The global and promoter-centric 3D genome organization temporally resolved during a circadian cycle. Genome biology. 22(1). 162–162. 20 indexed citations
9.
Davies, Gareth M., et al.. (2021). High-Throughput Mechanism of Inhibition. SLAS DISCOVERY. 26(2). 248–256. 3 indexed citations
10.
Cairns, Jonathan, William R. Orchard, Valeriya Malysheva, & Mikhail Spivakov. (2019). Chicdiff: a computational pipeline for detecting differential chromosomal interactions in Capture Hi-C data. Bioinformatics. 35(22). 4764–4766. 12 indexed citations
11.
Foster, Alison J., Sophie Regan, Linda C. Andersson, et al.. (2019). Integrated in vitro models for hepatic safety and metabolism: evaluation of a human Liver-Chip and liver spheroid. Archives of Toxicology. 93(4). 1021–1037. 85 indexed citations
12.
Morf, Jörg, Steven Wingett, Irene Farabella, et al.. (2019). RNA proximity sequencing reveals the spatial organization of the transcriptome in the nucleus. Nature Biotechnology. 37(7). 793–802. 29 indexed citations
13.
Sanosaka, Tsukasa, Anders Lundin, Kent Imaizumi, et al.. (2019). Single‐cell study of neural stem cells derived from human iPSCs reveals distinct progenitor populations with neurogenic and gliogenic potential. Genes to Cells. 24(12). 836–847. 19 indexed citations
14.
Novo, Clara Lopes, Biola M. Javierre, Jonathan Cairns, et al.. (2018). Long-Range Enhancer Interactions Are Prevalent in Mouse Embryonic Stem Cells and Are Reorganized upon Pluripotent State Transition. Cell Reports. 22(10). 2615–2627. 64 indexed citations
15.
Rubin, Adam J., Brook C. Barajas, Mayra Furlan-Magaril, et al.. (2017). Lineage-specific dynamic and pre-established enhancer–promoter contacts cooperate in terminal differentiation. Nature Genetics. 49(10). 1522–1528. 201 indexed citations
16.
Siersbæk, Rasmus, Jesper Grud Skat Madsen, Biola M. Javierre, et al.. (2017). Dynamic Rewiring of Promoter-Anchored Chromatin Loops during Adipocyte Differentiation. Molecular Cell. 66(3). 420–435.e5. 155 indexed citations
17.
Cairns, Jonathan, Paula Freire-Pritchett, Steven Wingett, et al.. (2016). CHiCAGO: robust detection of DNA looping interactions in Capture Hi-C data. Genome biology. 17(1). 127–127. 223 indexed citations
18.
Cairns, Jonathan, et al.. (2016). Analysis of Promoter Capture Hi-C data for GM12878 and mouse ES cells using the CHiCAGO pipeline. OSF Preprints (OSF Preprints). 1 indexed citations
19.
Kirschner, Kristina, Shamith Samarajiwa, Jonathan Cairns, et al.. (2015). Phenotype Specific Analyses Reveal Distinct Regulatory Mechanism for Chronically Activated p53. PLoS Genetics. 11(3). e1005053–e1005053. 45 indexed citations
20.
Cairns, Jonathan, et al.. (2014). Quantifying the impact of inter-site heterogeneity on the distribution of ChIP-seq data. Frontiers in Genetics. 5. 399–399. 1 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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