Jon-Matthew Belton

2.0k total citations · 1 hit paper
10 papers, 1.1k citations indexed

About

Jon-Matthew Belton is a scholar working on Molecular Biology, Plant Science and Ecology. According to data from OpenAlex, Jon-Matthew Belton has authored 10 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 7 papers in Plant Science and 1 paper in Ecology. Recurrent topics in Jon-Matthew Belton's work include Genomics and Chromatin Dynamics (10 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (4 papers). Jon-Matthew Belton is often cited by papers focused on Genomics and Chromatin Dynamics (10 papers), Chromosomal and Genetic Variations (6 papers) and RNA and protein synthesis mechanisms (4 papers). Jon-Matthew Belton collaborates with scholars based in United States, United Kingdom and Spain. Jon-Matthew Belton's co-authors include Job Dekker, N. M. Naumova, Rachel Patton McCord, Johan H. Gibcus, Ye Zhan, Leonid A. Mirny, Geoffrey Fudenberg, Takeshi Mizuguchi, Shiv I. S. Grewal and Peter Fitzgerald and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Nature Cell Biology.

In The Last Decade

Jon-Matthew Belton

10 papers receiving 1.1k citations

Hit Papers

Hi–C: A comprehensive technique to capture the conformati... 2012 2026 2016 2021 2012 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jon-Matthew Belton United States 7 917 426 185 63 56 10 1.1k
Ally Yang Canada 15 842 0.9× 529 1.2× 151 0.8× 70 1.1× 35 0.6× 23 1.2k
Alaina Shumate United States 9 761 0.8× 414 1.0× 277 1.5× 38 0.6× 110 2.0× 11 1.1k
Derek W. Barnett United States 7 660 0.7× 242 0.6× 280 1.5× 57 0.9× 78 1.4× 7 1.0k
Daniël P. Melters United States 10 661 0.7× 496 1.2× 179 1.0× 93 1.5× 24 0.4× 17 948
Benjamin Noël France 13 621 0.7× 302 0.7× 113 0.6× 63 1.0× 46 0.8× 30 828
Charles Yu United States 9 664 0.7× 171 0.4× 141 0.8× 59 0.9× 58 1.0× 20 814
Karen H. Miga United States 17 1.1k 1.2× 748 1.8× 429 2.3× 96 1.5× 100 1.8× 24 1.4k
Marco Mangone United States 13 1.1k 1.2× 282 0.7× 248 1.3× 56 0.9× 157 2.8× 21 1.4k
Antoine Janssen Netherlands 12 492 0.5× 530 1.2× 260 1.4× 92 1.5× 39 0.7× 13 930
John Bouck United States 10 1.1k 1.2× 453 1.1× 371 2.0× 66 1.0× 40 0.7× 15 1.5k

Countries citing papers authored by Jon-Matthew Belton

Since Specialization
Citations

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

Fields of papers citing papers by Jon-Matthew Belton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jon-Matthew Belton. 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 Jon-Matthew Belton. The network helps show where Jon-Matthew Belton may publish in the future.

Co-authorship network of co-authors of Jon-Matthew Belton

This figure shows the co-authorship network connecting the top 25 collaborators of Jon-Matthew Belton. A scholar is included among the top collaborators of Jon-Matthew Belton 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 Jon-Matthew Belton. Jon-Matthew Belton is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

10 of 10 papers shown
1.
Schalbetter, Stephanie A., Anton Goloborodko, Geoffrey Fudenberg, et al.. (2017). SMC complexes differentially compact mitotic chromosomes according to genomic context. Nature Cell Biology. 19(9). 1071–1080. 93 indexed citations
2.
Mizuguchi, Takeshi, Nitika Taneja, Jon-Matthew Belton, et al.. (2017). Shelterin components mediate genome reorganization in response to replication stress. Proceedings of the National Academy of Sciences. 114(21). 5479–5484. 13 indexed citations
3.
Belton, Jon-Matthew, Bryan R. Lajoie, Sylvain Cantaloube, et al.. (2015). The Conformation of Yeast Chromosome III Is Mating Type Dependent and Controlled by the Recombination Enhancer. Cell Reports. 13(9). 1855–1867. 28 indexed citations
4.
Belton, Jon-Matthew & Job Dekker. (2015). Chromosome Conformation Capture (3C) in Budding Yeast. Cold Spring Harbor Protocols. 2015(6). pdb.prot085175–pdb.prot085175. 11 indexed citations
5.
Belton, Jon-Matthew & Job Dekker. (2015). Hi-C in Budding Yeast. Cold Spring Harbor Protocols. 2015(7). pdb.prot085209–pdb.prot085209. 14 indexed citations
6.
Belton, Jon-Matthew & Job Dekker. (2015). Chromosome Conformation Capture Carbon Copy (5C) in Budding Yeast. Cold Spring Harbor Protocols. 2015(6). pdb.prot085191–pdb.prot085191. 4 indexed citations
7.
Belton, Jon-Matthew & Job Dekker. (2015). Measuring Chromatin Structure in Budding Yeast. Cold Spring Harbor Protocols. 2015(7). pdb.top077552–pdb.top077552. 2 indexed citations
8.
Belton, Jon-Matthew & Job Dekker. (2015). Randomized Ligation Control for Chromosome Conformation Capture. Cold Spring Harbor Protocols. 2015(6). pdb.prot085183–pdb.prot085183. 4 indexed citations
9.
Mizuguchi, Takeshi, Geoffrey Fudenberg, Sameet Mehta, et al.. (2014). Cohesin-dependent globules and heterochromatin shape 3D genome architecture in S. pombe. Nature. 516(7531). 432–435. 202 indexed citations
10.
Belton, Jon-Matthew, Rachel Patton McCord, Johan H. Gibcus, et al.. (2012). Hi–C: A comprehensive technique to capture the conformation of genomes. Methods. 58(3). 268–276. 736 indexed citations breakdown →

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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