Nick Gilbert

8.1k total citations · 1 hit paper
73 papers, 5.5k citations indexed

About

Nick Gilbert is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Nick Gilbert has authored 73 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 64 papers in Molecular Biology, 19 papers in Plant Science and 10 papers in Genetics. Recurrent topics in Nick Gilbert's work include Genomics and Chromatin Dynamics (48 papers), RNA Research and Splicing (19 papers) and Chromosomal and Genetic Variations (15 papers). Nick Gilbert is often cited by papers focused on Genomics and Chromatin Dynamics (48 papers), RNA Research and Splicing (19 papers) and Chromosomal and Genetic Variations (15 papers). Nick Gilbert collaborates with scholars based in United Kingdom, France and United States. Nick Gilbert's co-authors include Wendy A. Bickmore, Duncan Sproul, Shelagh Boyle, Samuel Corless, Bernard Ramsahoye, James M. Allan, Catherine Naughton, Davide Marenduzzo, Martin A.M. Reijns and Paula Carroll and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Nick Gilbert

71 papers receiving 5.5k citations

Hit Papers

cGAS surveillance of micronuclei links genome instability... 2017 2026 2020 2023 2017 250 500 750 1000

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Nick Gilbert United Kingdom 32 4.4k 1.0k 734 688 597 73 5.5k
Ella Hartenian United States 14 5.0k 1.1× 664 0.6× 389 0.5× 738 1.1× 581 1.0× 19 6.0k
Gavin Kelly United Kingdom 37 3.6k 0.8× 771 0.7× 407 0.6× 378 0.5× 703 1.2× 80 5.4k
Karen Adelman United States 45 7.9k 1.8× 583 0.6× 598 0.8× 918 1.3× 469 0.8× 83 8.7k
Kyoko Yokomori United States 42 5.0k 1.1× 413 0.4× 911 1.2× 871 1.3× 650 1.1× 91 6.3k
Richard A. Padgett United States 38 6.9k 1.6× 422 0.4× 476 0.6× 758 1.1× 373 0.6× 72 7.9k
Scott Briggs United States 32 6.1k 1.4× 374 0.4× 875 1.2× 489 0.7× 456 0.8× 50 6.9k
Alan B. Sachs United States 41 7.8k 1.8× 457 0.4× 577 0.8× 921 1.3× 359 0.6× 62 8.9k
Benjamin Haley United States 35 5.3k 1.2× 902 0.9× 684 0.9× 447 0.6× 635 1.1× 75 6.6k
Anton A. Komar United States 40 4.9k 1.1× 424 0.4× 242 0.3× 618 0.9× 386 0.6× 110 5.9k
Maarten Fornerod Netherlands 39 6.9k 1.6× 516 0.5× 328 0.4× 924 1.3× 520 0.9× 81 8.1k

Countries citing papers authored by Nick Gilbert

Since Specialization
Citations

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

Fields of papers citing papers by Nick Gilbert

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Nick Gilbert

This figure shows the co-authorship network connecting the top 25 collaborators of Nick Gilbert. A scholar is included among the top collaborators of Nick Gilbert 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 Nick Gilbert. Nick Gilbert 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.
Buonomo, Sara B.C., et al.. (2024). Modeling the 3D Spatiotemporal Organization of Chromatin Replication. Edinburgh Research Explorer. 2(3). 3 indexed citations
2.
Boteva, Lora, et al.. (2023). Bridging condensins mediate compaction of mitotic chromosomes. The Journal of Cell Biology. 223(1). 13 indexed citations
3.
Buckle, Adam, et al.. (2023). Transcription modulates chromatin dynamics and locus configuration sampling. Nature Structural & Molecular Biology. 30(9). 1275–1285. 13 indexed citations
4.
Naughton, Catherine, Covadonga Huidobro, Claudia Rita Catacchio, et al.. (2022). Human centromere repositioning activates transcription and opens chromatin fibre structure. Nature Communications. 13(1). 21 indexed citations
5.
Adams, Ian R., et al.. (2022). User acceptability of saliva and gargle samples for identifying COVID-19 positive high-risk workers and household contacts. Diagnostic Microbiology and Infectious Disease. 104(1). 115732–115732. 4 indexed citations
6.
Brackley, Chris A., Nick Gilbert, Davide Michieletto, et al.. (2021). Complex small-world regulatory networks emerge from the 3D organisation of the human genome. Nature Communications. 12(1). 5756–5756. 20 indexed citations
7.
Takahashi, Saori, Hisashi Miura, Ichiro Hiratani, et al.. (2021). SAF-A promotes origin licensing and replication fork progression to ensure robust DNA replication. Journal of Cell Science. 135(2). 8 indexed citations
8.
Chiang, Michael, et al.. (2020). Predictive Polymer Models for 3D Chromosome Organization. Methods in molecular biology. 2301. 267–291. 6 indexed citations
9.
Marenduzzo, Davide, et al.. (2020). Mechanistic modeling of chromatin folding to understand function. Nature Methods. 17(8). 767–775. 57 indexed citations
10.
Buckle, Adam, Nick Gilbert, Davide Marenduzzo, & Chris A. Brackley. (2019). capC-MAP: software for analysis of Capture-C data. Bioinformatics. 35(22). 4773–4775. 10 indexed citations
11.
Nozawa, Ryu‐Suke & Nick Gilbert. (2019). RNA: Nuclear Glue for Folding the Genome. Trends in Cell Biology. 29(3). 201–211. 57 indexed citations
12.
Verma, Chandra, et al.. (2017). Regulation of transcriptional activators by DNA-binding domain ubiquitination. Cell Death and Differentiation. 24(5). 903–916. 21 indexed citations
13.
Brackley, Chris A., James Johnson, Samuel Corless, et al.. (2016). Stochastic Model of Supercoiling-Dependent Transcription. Physical Review Letters. 117(1). 18101–18101. 36 indexed citations
14.
Naughton, Catherine, Samuel Corless, & Nick Gilbert. (2013). Divergent RNA transcription. Transcription. 4(4). 162–166. 25 indexed citations
15.
Gilbert, Nick & James M. Allan. (2013). Supercoiling in DNA and chromatin. Current Opinion in Genetics & Development. 25. 15–21. 89 indexed citations
16.
Hayward, Richard L., et al.. (2011). Global chromatin fibre compaction in response to DNA damage. Biochemical and Biophysical Research Communications. 414(4). 820–825. 10 indexed citations
17.
Prendergast, James, Harry Campbell, Nick Gilbert, et al.. (2007). Chromatin structure and evolution in the human genome. BMC Evolutionary Biology. 7(1). 72–72. 62 indexed citations
18.
Sproul, Duncan, Nick Gilbert, & Wendy A. Bickmore. (2005). The role of chromatin structure in regulating the expression of clustered genes. Nature Reviews Genetics. 6(10). 775–781. 230 indexed citations
19.
Gilchrist, Susan, Nick Gilbert, Paul Perry, & Wendy A. Bickmore. (2004). Nuclear organization of centromeric domains is not perturbed by inhibition of histone deacetylases. Chromosome Research. 12(5). 505–516. 49 indexed citations
20.
Poot, Raymond A., Ludmila Bozhenok, Debbie L. C. van den Berg, et al.. (2004). The Williams syndrome transcription factor interacts with PCNA to target chromatin remodelling by ISWI to replication foci. Nature Cell Biology. 6(12). 1236–1244. 154 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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