Jesse R. Dixon

26.1k total citations · 8 hit papers
29 papers, 10.7k citations indexed

About

Jesse R. Dixon is a scholar working on Molecular Biology, Plant Science and Genetics. According to data from OpenAlex, Jesse R. Dixon has authored 29 papers receiving a total of 10.7k indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Molecular Biology, 10 papers in Plant Science and 3 papers in Genetics. Recurrent topics in Jesse R. Dixon's work include Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (5 papers). Jesse R. Dixon is often cited by papers focused on Genomics and Chromatin Dynamics (21 papers), RNA Research and Splicing (6 papers) and Epigenetics and DNA Methylation (5 papers). Jesse R. Dixon collaborates with scholars based in United States, China and Belgium. Jesse R. Dixon's co-authors include Bing Ren, Siddarth Selvaraj, Yin Shen, Feng Yue, Audrey Kim, Ming Hu, Jun S. Liu, Yan Li, Zhen Ye and David U. Gorkin and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

Jesse R. Dixon

28 papers receiving 10.6k citations

Hit Papers

Topological domains in ma... 2012 2026 2016 2021 2012 2015 2012 2013 2013 1000 2.0k 3.0k 4.0k

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jesse R. Dixon 9.8k 2.4k 1.9k 942 649 29 10.7k
Siddarth Selvaraj 7.4k 0.7× 2.0k 0.8× 1.6k 0.9× 665 0.7× 393 0.6× 16 8.1k
Yin Shen 7.1k 0.7× 1.6k 0.7× 1.5k 0.8× 653 0.7× 350 0.5× 16 7.7k
Elzo de Wit 8.6k 0.9× 2.3k 0.9× 1.3k 0.7× 1.3k 1.4× 555 0.9× 80 9.6k
Erik Splinter 6.8k 0.7× 1.8k 0.7× 1.5k 0.8× 480 0.5× 440 0.7× 43 7.5k
Friederike Dündar 5.6k 0.6× 1.4k 0.6× 854 0.5× 717 0.8× 773 1.2× 16 7.0k
Kate R. Rosenbloom 5.8k 0.6× 974 0.4× 2.3k 1.2× 1.4k 1.5× 297 0.5× 18 7.3k
David A. Orlando 7.1k 0.7× 1.5k 0.6× 873 0.5× 1.0k 1.1× 541 0.8× 37 8.2k
Tomek Swigut 7.4k 0.8× 832 0.3× 1.2k 0.7× 720 0.8× 1.0k 1.6× 51 9.1k
Joost Gribnau 6.6k 0.7× 1.1k 0.4× 2.5k 1.3× 859 0.9× 395 0.6× 130 7.7k
Kami Ahmad 7.3k 0.7× 2.6k 1.1× 1.1k 0.6× 412 0.4× 500 0.8× 71 8.4k

Countries citing papers authored by Jesse R. Dixon

Since Specialization
Citations

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

Fields of papers citing papers by Jesse R. Dixon

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jesse R. Dixon. 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 Jesse R. Dixon. The network helps show where Jesse R. Dixon may publish in the future.

Co-authorship network of co-authors of Jesse R. Dixon

This figure shows the co-authorship network connecting the top 25 collaborators of Jesse R. Dixon. A scholar is included among the top collaborators of Jesse R. Dixon 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 Jesse R. Dixon. Jesse R. Dixon 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.
Ashkin, Emily L., Yuning J. Tang, King L. Hung, et al.. (2024). A STAG2-PAXIP1/PAGR1 axis suppresses lung tumorigenesis. The Journal of Experimental Medicine. 222(1).
2.
Liu, Zhi, Dong-Sung Lee, Yuqiong Liang, Ye Zheng, & Jesse R. Dixon. (2023). Foxp3 orchestrates reorganization of chromatin architecture to establish regulatory T cell identity. Nature Communications. 14(1). 6943–6943. 13 indexed citations
3.
Gallardo, Christian M., Ben Clock, Jesse R. Dixon, et al.. (2022). Activation of HIV-1 proviruses increases downstream chromatin accessibility. iScience. 25(12). 105490–105490. 8 indexed citations
4.
Dixon, Jesse R., et al.. (2022). Coming full circle: On the origin and evolution of the looping model for enhancer–promoter communication. Journal of Biological Chemistry. 298(8). 102117–102117. 42 indexed citations
5.
Lee, Dong-Sung, Sahaana Chandran, Victoria T. Le, et al.. (2022). Structural variants drive context-dependent oncogene activation in cancer. Nature. 612(7940). 564–572. 51 indexed citations
6.
Kubo, Naoki, Haruhiko Ishii, Xiong Xiong, et al.. (2021). Promoter-proximal CTCF binding promotes distal enhancer-dependent gene activation. Nature Structural & Molecular Biology. 28(2). 152–161. 184 indexed citations breakdown →
7.
Song, Fan, Jie Xu, Jesse R. Dixon, & Feng Yue. (2021). Analysis of Hi-C Data for Discovery of Structural Variations in Cancer. Methods in molecular biology. 2301. 143–161. 6 indexed citations
8.
Shokhirev, Maxim N., et al.. (2020). Dynamic regulation of histone modifications and long-range chromosomal interactions during postmitotic transcriptional reactivation. Genes & Development. 34(13-14). 913–930. 61 indexed citations
9.
Yang, Yang, Yang Zhang, Bing Ren, Jesse R. Dixon, & Jian Ma. (2019). Comparing 3D Genome Organization in Multiple Species Using Phylo-HMRF. Cell Systems. 8(6). 494–505.e14. 18 indexed citations
10.
Barbosa, Karina, Anagha Deshpande, Bo-Rui Chen, et al.. (2019). Acute myeloid leukemia driven by the CALM-AF10 fusion gene is dependent on BMI1. Experimental Hematology. 74. 42–51.e3. 11 indexed citations
11.
Gatchalian, Jovylyn, Shivani Malik, Josephine Ho, et al.. (2018). A non-canonical BRD9-containing BAF chromatin remodeling complex regulates naive pluripotency in mouse embryonic stem cells. Nature Communications. 9(1). 5139–5139. 149 indexed citations
12.
Diao, Yarui, Bin Li, Zhipeng Meng, et al.. (2016). A new class of temporarily phenotypic enhancers identified by CRISPR/Cas9-mediated genetic screening. Genome Research. 26(3). 397–405. 87 indexed citations
13.
Dixon, Jesse R., David U. Gorkin, & Bing Ren. (2016). Chromatin Domains: The Unit of Chromosome Organization. Molecular Cell. 62(5). 668–680. 504 indexed citations breakdown →
14.
Selvaraj, Siddarth, Anthony D. Schmitt, Jesse R. Dixon, & Bing Ren. (2015). Complete haplotype phasing of the MHC and KIR loci with targeted HaploSeq. BMC Genomics. 16(1). 900–900. 10 indexed citations
15.
Dixon, Jesse R., Inkyung Jung, Siddarth Selvaraj, et al.. (2015). Chromatin architecture reorganization during stem cell differentiation. Nature. 518(7539). 331–336. 1062 indexed citations breakdown →
16.
Attanasio, Catia, Alex S. Nord, Yiwen Zhu, et al.. (2014). Tissue-specific SMARCA4 binding at active and repressed regulatory elements during embryogenesis. Genome Research. 24(6). 920–929. 50 indexed citations
17.
Li, Yan, Haruhiko Ishii, Fulai Jin, et al.. (2014). CRISPR Reveals a Distal Super-Enhancer Required for Sox2 Expression in Mouse Embryonic Stem Cells. PLoS ONE. 9(12). e114485–e114485. 134 indexed citations
18.
Selvaraj, Siddarth, Jesse R. Dixon, Vikas Bansal, & Bing Ren. (2013). Whole-genome haplotype reconstruction using proximity-ligation and shotgun sequencing. Nature Biotechnology. 31(12). 1111–1118. 178 indexed citations
19.
Shen, Yin, Feng Yue, David McCleary, et al.. (2012). A map of the cis-regulatory sequences in the mouse genome. Nature. 488(7409). 116–120. 1021 indexed citations breakdown →
20.
Barish, Grant D., Ruth T. Yu, Malith Karunasiri, et al.. (2010). Bcl-6 and NF-κB cistromes mediate opposing regulation of the innate immune response. Genes & Development. 24(24). 2760–2765. 210 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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