Marty G. Yang

1.1k total citations
10 papers, 450 citations indexed

About

Marty G. Yang is a scholar working on Molecular Biology, Ophthalmology and Cognitive Neuroscience. According to data from OpenAlex, Marty G. Yang has authored 10 papers receiving a total of 450 indexed citations (citations by other indexed papers that have themselves been cited), including 10 papers in Molecular Biology, 1 paper in Ophthalmology and 1 paper in Cognitive Neuroscience. Recurrent topics in Marty G. Yang's work include RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (3 papers). Marty G. Yang is often cited by papers focused on RNA Research and Splicing (5 papers), Genomics and Chromatin Dynamics (5 papers) and Single-cell and spatial transcriptomics (3 papers). Marty G. Yang collaborates with scholars based in United States, Australia and Bulgaria. Marty G. Yang's co-authors include Michael E. Greenberg, Anne E. West, Charles A. Gersbach, Hume Stroud, Matthew T. Biegler, Lingyun Song, Alexias Safi, Christopher M. Vockley, Christopher L. Frank and Fang Liu and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Neuron.

In The Last Decade

Marty G. Yang

9 papers receiving 448 citations

Peers

Marty G. Yang

MB

GENET

CMN

CN

CR

Beatriz del Blanco Spain

Michał Lipiński Spain

Dan Vershkov Israel

Katherine E. Savell United States

Emanuela Toffolo Italy

Huiping Tan China

Carli K. Opland United States

Erin Flaherty United States

Poornima Manavalan United States

Alina Piekna Canada

Beatriz del Blanco Spain

Marty G. Yang

288 ×0.8

MB

117 ×0.8

GENET

48 ×1.1

CMN

26 ×0.7

CN

30 ×1.1

CR

Citations per year, relative to Marty G. Yang Marty G. Yang (= 1×) peers Beatriz del Blanco

Countries citing papers authored by Marty G. Yang

Since Specialization

Citations

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

Fields of papers citing papers by Marty G. Yang

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marty G. Yang. 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 Marty G. Yang. The network helps show where Marty G. Yang may publish in the future.

Co-authorship network of co-authors of Marty G. Yang

This figure shows the co-authorship network connecting the top 25 collaborators of Marty G. Yang. A scholar is included among the top collaborators of Marty G. Yang 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 Marty G. Yang. Marty G. Yang 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

1.

Yang, Marty G., et al.. (2025). A mouse organoid platform for modeling cerebral cortex development and cis-regulatory evolution in vitro. Developmental Cell. 60(24). 3544–3560.e8.

2.

Yang, Marty G., Colin P McNally, Nour J. Abdulhay, et al.. (2024). The single-molecule accessibility landscape of newly replicated mammalian chromatin. Cell. 188(1). 237–252.e19. 5 indexed citations

3.

Yang, Marty G., Emi Ling, Christopher Cowley, Michael E. Greenberg, & Thomas Vierbuchen. (2022). Characterization of sequence determinants of enhancer function using natural genetic variation. eLife. 11. 9 indexed citations

4.

Boulting, Gabriella L., Bulent Ataman, Maxwell A. Sherman, et al.. (2021). Activity-dependent regulome of human GABAergic neurons reveals new patterns of gene regulation and neurological disease heritability. Nature Neuroscience. 24(3). 437–448. 33 indexed citations

5.

Stroud, Hume, Marty G. Yang, Christopher P. Davis, et al.. (2020). An Activity-Mediated Transition in Transcription in Early Postnatal Neurons. Neuron. 107(5). 874–890.e8. 43 indexed citations

6.

Cherry, Timothy J., Marty G. Yang, David A. Harmin, et al.. (2020). Mapping the cis -regulatory architecture of the human retina reveals noncoding genetic variation in disease. Proceedings of the National Academy of Sciences. 117(16). 9001–9012. 61 indexed citations

7.

Lin, Yen Ting, David A. Gallegos, Mariah F. Hazlett, et al.. (2019). Enhancer Histone Acetylation Modulates Transcriptional Bursting Dynamics of Neuronal Activity-Inducible Genes. Cell Reports. 26(5). 1174–1188.e5. 101 indexed citations

8.

Boxer, Lisa D., William Renthal, Tess Whitwam, et al.. (2019). MeCP2 Represses the Rate of Transcriptional Initiation of Highly Methylated Long Genes. Molecular Cell. 77(2). 294–309.e9. 79 indexed citations

9.

Yang, Marty G. & Anne E. West. (2016). Editing the Neuronal Genome: a CRISPR View of Chromatin Regulation in Neuronal Development, Function, and Plasticity.. PubMed. 89(4). 457–470. 5 indexed citations

10.

Frank, Christopher L., Fang Liu, Lingyun Song, et al.. (2015). Regulation of chromatin accessibility and Zic binding at enhancers in the developing cerebellum. Nature Neuroscience. 18(5). 647–656. 114 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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