Zizhen Yao

24.0k total citations · 3 hit papers
58 papers, 5.5k citations indexed

About

Zizhen Yao is a scholar working on Molecular Biology, Cognitive Neuroscience and Cellular and Molecular Neuroscience. According to data from OpenAlex, Zizhen Yao has authored 58 papers receiving a total of 5.5k indexed citations (citations by other indexed papers that have themselves been cited), including 51 papers in Molecular Biology, 8 papers in Cognitive Neuroscience and 5 papers in Cellular and Molecular Neuroscience. Recurrent topics in Zizhen Yao's work include RNA modifications and cancer (15 papers), Muscle Physiology and Disorders (14 papers) and RNA Research and Splicing (13 papers). Zizhen Yao is often cited by papers focused on RNA modifications and cancer (15 papers), Muscle Physiology and Disorders (14 papers) and RNA Research and Splicing (13 papers). Zizhen Yao collaborates with scholars based in United States, Netherlands and South Africa. Zizhen Yao's co-authors include Walter L. Ruzzo, Stephen J. Tapscott, Zasha Weinberg, Bosiljka Tasic, Hongkui Zeng, Lucas T. Graybuck, Robert Gentleman, Rabi Tawil, Silvère M. van der Maarel and Lauren Snider and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Zizhen Yao

56 papers receiving 5.4k citations

Hit Papers

Single-cell profiling of ... 2018 2026 2020 2023 2018 2021 2023 250 500 750

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zizhen Yao United States 38 4.4k 575 570 547 448 58 5.5k
J. Gray Camp Switzerland 34 3.6k 0.8× 441 0.8× 536 0.9× 410 0.7× 221 0.5× 51 4.8k
Maximilian Haeussler United States 26 5.1k 1.2× 1.2k 2.0× 321 0.6× 569 1.0× 281 0.6× 45 6.3k
Qiaolin Deng Sweden 28 4.2k 1.0× 670 1.2× 648 1.1× 1.0k 1.9× 180 0.4× 56 5.5k
Bosiljka Tasic United States 28 4.7k 1.1× 931 1.6× 1.5k 2.7× 538 1.0× 781 1.7× 49 7.4k
Tamily A. Weissman United States 17 2.6k 0.6× 462 0.8× 1.6k 2.9× 502 0.9× 339 0.8× 23 4.8k
In‐Hyun Park United States 35 5.8k 1.3× 1.1k 1.9× 854 1.5× 495 0.9× 314 0.7× 89 7.1k
Itaru Imayoshi Japan 35 3.2k 0.7× 597 1.0× 1.3k 2.2× 573 1.0× 384 0.9× 66 5.3k
Niels Galjart Netherlands 57 7.1k 1.6× 976 1.7× 976 1.7× 364 0.7× 211 0.5× 113 10.8k
Toshiyuki Ohtsuka Japan 42 6.3k 1.4× 1.0k 1.8× 1.4k 2.5× 939 1.7× 260 0.6× 60 8.5k
Fumio Matsuzaki Japan 41 4.7k 1.1× 689 1.2× 1.5k 2.6× 391 0.7× 152 0.3× 107 6.5k

Countries citing papers authored by Zizhen Yao

Since Specialization
Citations

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

Fields of papers citing papers by Zizhen Yao

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zizhen Yao

This figure shows the co-authorship network connecting the top 25 collaborators of Zizhen Yao. A scholar is included among the top collaborators of Zizhen Yao 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 Zizhen Yao. Zizhen Yao 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.
3.
Bistrong, Karina, Shenqin Yao, Zizhen Yao, et al.. (2022). Dense functional and molecular readout of a circuit hub in sensory cortex. Science. 375(6576). eabl5981–eabl5981. 35 indexed citations
4.
Scala, Federico, Dmitry Kobak, Matteo Bernabucci, et al.. (2020). Phenotypic variation of transcriptomic cell types in mouse motor cortex. Nature. 598(7879). 144–150. 173 indexed citations
5.
Smith, Stephen J, Uygar Sümbül, Lucas T. Graybuck, et al.. (2019). Single-cell transcriptomic evidence for dense intracortical neuropeptide networks. eLife. 8. 90 indexed citations
6.
Rosenberg, Alexander, Charles M. Roco, Richard A. Muscat, et al.. (2018). Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science. 360(6385). 176–182. 877 indexed citations breakdown →
7.
Slieker, Roderick C., Judit Balog, Richard J.L.F. Lemmers, et al.. (2017). SMCHD1 regulates a limited set of gene clusters on autosomal chromosomes. Skeletal Muscle. 7(1). 12–12. 25 indexed citations
8.
Conerly, Melissa, Zizhen Yao, Jun Zhong, Mark Groudine, & Stephen J. Tapscott. (2016). Distinct Activities of Myf5 and MyoD Indicate Separate Roles in Skeletal Muscle Lineage Specification and Differentiation. Developmental Cell. 36(4). 375–385. 86 indexed citations
9.
Snider, Lauren, Zizhen Yao, Rabi Tawil, et al.. (2015). DICER/AGO-dependent epigenetic silencing of D4Z4 repeats enhanced by exogenous siRNA suggests mechanisms and therapies for FSHD. Human Molecular Genetics. 24(17). 4817–4828. 40 indexed citations
10.
Zalc, Antoine, Shinichiro Hayashi, Frédéric Aurade, et al.. (2014). Antagonistic regulation of p57kip2 by Hes/Hey downstream of Notch signaling and muscle regulatory factors regulates skeletal muscle growth arrest. Development. 141(14). 2780–2790. 40 indexed citations
11.
Yao, Zizhen, Lauren Snider, Judit Balog, et al.. (2014). DUX4-induced gene expression is the major molecular signature in FSHD skeletal muscle. Human Molecular Genetics. 23(20). 5342–5352. 161 indexed citations
12.
Thijssen, Peter, Judit Balog, Zizhen Yao, et al.. (2014). DUX4 promotes transcription of FRG2 by directly activating its promoter in facioscapulohumeral muscular dystrophy. Skeletal Muscle. 4(1). 19–19. 21 indexed citations
13.
Yao, Zizhen, Gist H. Farr, Stephen J. Tapscott, & Lisa Maves. (2013). Pbx and Prdm1a transcription factors differentially regulate subsets of the fast skeletal muscle program in zebrafish. Biology Open. 2(6). 546–555. 24 indexed citations
14.
Young, Janet M., Zizhen Yao, Lauren Snider, et al.. (2013). DUX4 Binding to Retroelements Creates Promoters That Are Active in FSHD Muscle and Testis. PLoS Genetics. 9(11). e1003947–e1003947. 128 indexed citations
15.
MacQuarrie, Kyle L., Zizhen Yao, Abraham Fong, & Stephen J. Tapscott. (2013). Genome-wide binding of the basic helix-loop-helix myogenic inhibitor musculin has substantial overlap with MyoD: implications for buffering activity. Skeletal Muscle. 3(1). 26–26. 13 indexed citations
16.
Yao, Zizhen, Abraham Fong, Yi Cao, et al.. (2013). Comparison of endogenous and overexpressed MyoD shows enhanced binding of physiologically bound sites. Skeletal Muscle. 3(1). 8–8. 20 indexed citations
17.
Fong, Abraham, Zizhen Yao, Jun Zhong, et al.. (2012). Genetic and Epigenetic Determinants of Neurogenesis and Myogenesis. Developmental Cell. 22(4). 721–735. 87 indexed citations
18.
Palii, Carmen G., Carolina Perez‐Iratxeta, Zizhen Yao, et al.. (2010). Differential genomic targeting of the transcription factor TAL1 in alternate haematopoietic lineages. The EMBO Journal. 30(3). 494–509. 108 indexed citations
19.
Cao, Yi, Zizhen Yao, Deepayan Sarkar, et al.. (2010). Genome-wide MyoD Binding in Skeletal Muscle Cells: A Potential for Broad Cellular Reprogramming. Developmental Cell. 18(4). 662–674. 385 indexed citations
20.
Torarinsson, Elfar, Zizhen Yao, Jesper B. Bramsen, et al.. (2007). Comparative genomics beyond sequence-based alignments: RNA structures in the ENCODE regions. Genome Research. 18(2). 242–251. 73 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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