Jonathan A. Beagan

2.0k total citations
17 papers, 1.3k citations indexed

About

Jonathan A. Beagan is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Neurology. According to data from OpenAlex, Jonathan A. Beagan has authored 17 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 4 papers in Neurology. Recurrent topics in Jonathan A. Beagan's work include Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (4 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Jonathan A. Beagan is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), Chromosomal and Genetic Variations (4 papers) and Neurogenetic and Muscular Disorders Research (3 papers). Jonathan A. Beagan collaborates with scholars based in United States, Russia and France. Jonathan A. Beagan's co-authors include Jennifer E. Phillips‐Cremins, Katelyn R. Titus, Ole Isacson, Emily M. Rocha, Gaynor A. Smith, Jesse R. McLean, Penelope J. Hallett, Linda Zhou, Melissa A. Hayes and Thomas G. Gilgenast and has published in prestigious journals such as Cell, Nature Communications and Nature Genetics.

In The Last Decade

Jonathan A. Beagan

16 papers receiving 1.3k 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 A. Beagan United States 12 910 215 208 201 182 17 1.3k
Julia M. Schulze‐Hentrich Germany 21 1.1k 1.2× 92 0.4× 151 0.7× 89 0.4× 271 1.5× 46 1.5k
Brian E. Staveley Canada 13 701 0.8× 129 0.6× 96 0.5× 127 0.6× 221 1.2× 37 1.1k
Tsuyoshi Udagawa Japan 22 1.3k 1.4× 192 0.9× 89 0.4× 54 0.3× 214 1.2× 30 1.6k
Emmanouil Metzakopian United Kingdom 17 969 1.1× 158 0.7× 58 0.3× 137 0.7× 140 0.8× 32 1.3k
Frank M. J. Jacobs Netherlands 14 1.2k 1.3× 155 0.7× 269 1.3× 102 0.5× 43 0.2× 19 1.4k
Michael J. McConnell United States 11 800 0.9× 203 0.9× 134 0.6× 62 0.3× 77 0.4× 18 1.1k
Yuping Luo China 18 1.3k 1.4× 538 2.5× 124 0.6× 95 0.5× 48 0.3× 47 1.7k
Mattéa J. Finelli United Kingdom 18 563 0.6× 88 0.4× 43 0.2× 99 0.5× 137 0.8× 23 901
Joseph W. Paul United States 10 1.4k 1.6× 146 0.7× 424 2.0× 225 1.1× 960 5.3× 15 2.1k
Ravindran Kumaran United States 23 1.0k 1.1× 105 0.5× 122 0.6× 369 1.8× 727 4.0× 30 1.8k

Countries citing papers authored by Jonathan A. Beagan

Since Specialization
Citations

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

Fields of papers citing papers by Jonathan A. Beagan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jonathan A. Beagan

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

All Works

17 of 17 papers shown
1.
Calvo, Ana Cristina, et al.. (2024). Configuration of electrical synapses filters sensory information to drive behavioral choices. Cell. 188(1). 89–103.e13. 2 indexed citations
2.
Morganti, Stefania, Jonathan A. Beagan, Anthony D’Ippolito, et al.. (2024). Novel epigenomic liquid biopsy assay to predict estrogen receptor (ER) status and to infer ER pathway activation in breast cancer.. Journal of Clinical Oncology. 42(16_suppl). 1066–1066.
3.
Kwon, Deborah Y., Bing Xu, Peng Hu, et al.. (2022). Neuronal Yin Yang1 in the prefrontal cortex regulates transcriptional and behavioral responses to chronic stress in mice. Nature Communications. 13(1). 55–55. 21 indexed citations
4.
Beagan, Jonathan A. & Jennifer E. Phillips‐Cremins. (2020). On the existence and functionality of topologically associating domains. Nature Genetics. 52(1). 8–16. 219 indexed citations
5.
Beagan, Jonathan A., Elissa D. Pastuzyn, Michael H. Guo, et al.. (2020). Three-dimensional genome restructuring across timescales of activity-induced neuronal gene expression. Nature Neuroscience. 23(6). 707–717. 87 indexed citations
6.
Kim, Ji Hun, Jacqueline A. Valeri, Margaret C. Dunagin, et al.. (2019). LADL: light-activated dynamic looping for endogenous gene expression control. Nature Methods. 16(7). 633–639. 103 indexed citations
7.
Sun, James, Linda Zhou, Daniel J. Emerson, et al.. (2018). Disease-Associated Short Tandem Repeats Co-localize with Chromatin Domain Boundaries. Cell. 175(1). 224–238.e15. 138 indexed citations
8.
Kim, Ji Hun, Katelyn R. Titus, Wanfeng Gong, et al.. (2018). 5C-ID: Increased resolution Chromosome-Conformation-Capture-Carbon-Copy with in situ 3C and double alternating primer design. Methods. 142. 39–46. 15 indexed citations
9.
Osborn, Teresia, Jonathan A. Beagan, & Ole Isacson. (2017). Increased motor neuron resilience by small molecule compounds that regulate IGF-II expression. Neurobiology of Disease. 110. 218–230. 10 indexed citations
10.
Beagan, Jonathan A., Michael Tran Duong, Katelyn R. Titus, et al.. (2017). YY1 and CTCF orchestrate a 3D chromatin looping switch during early neural lineage commitment. Genome Research. 27(7). 1139–1152. 206 indexed citations
11.
Beagan, Jonathan A., Thomas G. Gilgenast, Gui Hu, et al.. (2016). Local Genome Topology Can Exhibit an Incompletely Rewired 3D-Folding State during Somatic Cell Reprogramming. Cell stem cell. 18(5). 611–624. 89 indexed citations
12.
Beagan, Jonathan A. & Jennifer E. Phillips‐Cremins. (2016). CRISPR/Cas9 genome editing throws descriptive 3‐D genome folding studies for a loop. WIREs Systems Biology and Medicine. 8(4). 286–299. 3 indexed citations
13.
Rocha, Emily M., Gaynor A. Smith, Eric Park, et al.. (2015). Sustained Systemic Glucocerebrosidase Inhibition Induces Brain α-Synuclein Aggregation, Microglia and Complement C1q Activation in Mice. Antioxidants and Redox Signaling. 23(6). 550–564. 117 indexed citations
14.
Rocha, Emily M., Gaynor A. Smith, Eric Park, et al.. (2015). Glucocerebrosidase gene therapy prevents α-synucleinopathy of midbrain dopamine neurons. Neurobiology of Disease. 82. 495–503. 129 indexed citations
15.
Smith, Gaynor A., Emily M. Rocha, Thomas Rooney, et al.. (2015). A Nurr1 Agonist Causes Neuroprotection in a Parkinson’s Disease Lesion Model Primed with the Toll-Like Receptor 3 dsRNA Inflammatory Stimulant Poly(I:C). PLoS ONE. 10(3). e0121072–e0121072. 60 indexed citations
16.
McLean, Jesse R., Gaynor A. Smith, Emily M. Rocha, et al.. (2014). Widespread neuron-specific transgene expression in brain and spinal cord following synapsin promoter-driven AAV9 neonatal intracerebroventricular injection. Neuroscience Letters. 576. 73–78. 75 indexed citations
17.
McLean, Jesse R., Gaynor A. Smith, Emily M. Rocha, et al.. (2014). ALS-associated peripherin spliced transcripts form distinct protein inclusions that are neuroprotective against oxidative stress. Experimental Neurology. 261. 217–229. 8 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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