Sean Shadle

942 total citations
10 papers, 646 citations indexed

About

Sean Shadle is a scholar working on Molecular Biology, Physiology and Genetics. According to data from OpenAlex, Sean Shadle has authored 10 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 2 papers in Physiology and 1 paper in Genetics. Recurrent topics in Sean Shadle's work include Muscle Physiology and Disorders (6 papers), CRISPR and Genetic Engineering (4 papers) and RNA Research and Splicing (4 papers). Sean Shadle is often cited by papers focused on Muscle Physiology and Disorders (6 papers), CRISPR and Genetic Engineering (4 papers) and RNA Research and Splicing (4 papers). Sean Shadle collaborates with scholars based in United States, Netherlands and United Kingdom. Sean Shadle's co-authors include Stephen J. Tapscott, Silvère M. van der Maarel, Amy E. Campbell, Rabi Tawil, Sujatha Jagannathan, Rebecca Resnick, Robert K. Bradley, Soren Impey, Olga Varlamova and Liangqi Xie and has published in prestigious journals such as Nature Genetics, The EMBO Journal and Developmental Cell.

In The Last Decade

Sean Shadle

10 papers receiving 637 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Sean Shadle United States	10	582	82	77	56	47	10	646
Erik A. Toso United States	12	437 0.8×	86 1.0×	90 1.2×	46 0.8×	48 1.0×	18	557
Peter G. Hendrickson United States	6	578 1.0×	24 0.3×	40 0.5×	64 1.1×	70 1.5×	13	671
Nesrin Sabha Canada	8	223 0.4×	38 0.5×	35 0.5×	19 0.3×	31 0.7×	12	303
Fatima Amor France	9	430 0.7×	49 0.6×	60 0.8×	24 0.4×	75 1.6×	10	474
Evelyne Gicquel France	11	379 0.7×	115 1.4×	63 0.8×	33 0.6×	134 2.9×	17	466
Dawn T. Smallwood United Kingdom	8	686 1.2×	33 0.4×	25 0.3×	14 0.3×	27 0.6×	11	789
Martje Tönjes Germany	6	381 0.7×	43 0.5×	26 0.3×	20 0.4×	63 1.3×	7	435
Yongli Shan China	10	524 0.9×	9 0.1×	53 0.7×	43 0.8×	69 1.5×	27	625
Katharina Boroviak United Kingdom	8	270 0.5×	14 0.2×	36 0.5×	38 0.7×	84 1.8×	8	361
Mizuyo Kojima Japan	13	514 0.9×	37 0.5×	13 0.2×	51 0.9×	130 2.8×	16	597

Countries citing papers authored by Sean Shadle

Since Specialization

Citations

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

Fields of papers citing papers by Sean Shadle

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sean Shadle

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

All Works

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10 of 10 papers shown

Grow, Edward J., B. D. Weaver, Jingtao Guo, et al.. (2021). p53 convergently activates Dux/DUX4 in embryonic stem cells and in facioscapulohumeral muscular dystrophy cell models. Nature Genetics. 53(8). 1207–1220. 67 indexed citations

Shadle, Sean, Sean Bennett, Chao-Jen Wong, et al.. (2019). DUX4-induced bidirectional HSATII satellite repeat transcripts form intranuclear double-stranded RNA foci in human cell models of FSHD. Human Molecular Genetics. 28(23). 3997–4011. 27 indexed citations

Chew, Guo-Liang, Amy E. Campbell, Emma De Neef, et al.. (2019). DUX4 Suppresses MHC Class I to Promote Cancer Immune Evasion and Resistance to Checkpoint Blockade. Developmental Cell. 50(5). 658–671.e7. 77 indexed citations

Campbell, Amy E., Sean Shadle, Sujatha Jagannathan, et al.. (2018). NuRD and CAF-1-mediated silencing of the D4Z4 array is modulated by DUX4-induced MBD3L proteins. eLife. 7. 46 indexed citations

Campbell, Amy E., et al.. (2018). Facioscapulohumeral dystrophy: activating an early embryonic transcriptional program in human skeletal muscle. Human Molecular Genetics. 27(R2). R153–R162. 36 indexed citations

Campbell, Amy E., Matthew Yates, Jun Zhong, et al.. (2017). BET bromodomain inhibitors and agonists of the beta-2 adrenergic receptor identified in screens for compounds that inhibit DUX4 expression in FSHD muscle cells. Skeletal Muscle. 7(1). 16–16. 51 indexed citations

Shadle, Sean, Jun Zhong, Amy E. Campbell, et al.. (2017). DUX4-induced dsRNA and MYC mRNA stabilization activate apoptotic pathways in human cell models of facioscapulohumeral dystrophy. PLoS Genetics. 13(3). e1006658–e1006658. 73 indexed citations

Jagannathan, Sujatha, Sean Shadle, Rebecca Resnick, et al.. (2016). Model systems of DUX4 expression recapitulate the transcriptional profile of FSHD cells. Human Molecular Genetics. 25(20). ddw271–ddw271. 83 indexed citations

Balog, Judit, Peter Thijssen, Sean Shadle, et al.. (2015). Increased DUX4 expression during muscle differentiation correlates with decreased SMCHD1 protein levels at D4Z4. Epigenetics. 10(12). 1133–1142. 55 indexed citations

10.

Xie, Liangqi, Carl Pelz, Wensi Wang, et al.. (2011). KDM5B regulates embryonic stem cell self‐renewal and represses cryptic intragenic transcription. The EMBO Journal. 30(8). 1473–1484. 131 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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