J. Matthew Taliaferro

1.9k total citations
44 papers, 1.1k citations indexed

About

J. Matthew Taliaferro is a scholar working on Molecular Biology, Cell Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, J. Matthew Taliaferro has authored 44 papers receiving a total of 1.1k indexed citations (citations by other indexed papers that have themselves been cited), including 36 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Cellular and Molecular Neuroscience. Recurrent topics in J. Matthew Taliaferro's work include RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (22 papers) and RNA modifications and cancer (21 papers). J. Matthew Taliaferro is often cited by papers focused on RNA Research and Splicing (29 papers), RNA and protein synthesis mechanisms (22 papers) and RNA modifications and cancer (21 papers). J. Matthew Taliaferro collaborates with scholars based in United States, Hong Kong and Switzerland. J. Matthew Taliaferro's co-authors include Raeann Goering, Christopher B. Burge, Eric T. Wang, Hei‐Yong G. Lo, Ankita Arora, Krysta L. Engel, Gary J. Bassell, Daniel Domínguez, Marina Vidaki and Frank B. Gertler and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Communications.

In The Last Decade

J. Matthew Taliaferro

42 papers receiving 1.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
J. Matthew Taliaferro United States 19 1.0k 124 112 99 91 44 1.1k
Michael J. Soskis United States 8 725 0.7× 176 1.4× 156 1.4× 133 1.3× 164 1.8× 8 986
Tsuyoshi Udagawa Japan 22 1.3k 1.3× 112 0.9× 139 1.2× 192 1.9× 111 1.2× 30 1.6k
Arianna Tocchetti Italy 11 436 0.4× 144 1.2× 37 0.3× 48 0.5× 101 1.1× 20 718
Marianna Tcherpakov Israel 12 624 0.6× 172 1.4× 65 0.6× 102 1.0× 204 2.2× 13 872
Mário Henrique Bengtson Brazil 14 1.4k 1.4× 298 2.4× 65 0.6× 94 0.9× 117 1.3× 23 1.7k
Wesley Hung Canada 20 829 0.8× 182 1.5× 43 0.4× 67 0.7× 295 3.2× 30 1.4k
Hatice Özel Abaan United States 10 803 0.8× 28 0.2× 185 1.7× 247 2.5× 69 0.8× 14 1.1k
Connie Fan United States 2 523 0.5× 71 0.6× 35 0.3× 131 1.3× 82 0.9× 3 694
Barbara Herdy Austria 10 853 0.8× 155 1.3× 48 0.4× 76 0.8× 125 1.4× 12 1.0k

Countries citing papers authored by J. Matthew Taliaferro

Since Specialization
Citations

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

Fields of papers citing papers by J. Matthew Taliaferro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Matthew Taliaferro. 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 J. Matthew Taliaferro. The network helps show where J. Matthew Taliaferro may publish in the future.

Co-authorship network of co-authors of J. Matthew Taliaferro

This figure shows the co-authorship network connecting the top 25 collaborators of J. Matthew Taliaferro. A scholar is included among the top collaborators of J. Matthew Taliaferro 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 J. Matthew Taliaferro. J. Matthew Taliaferro 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
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Li, Lan, Jinghua Han, Hei‐Yong G. Lo, et al.. (2024). Symmetry-breaking malachite green as a near-infrared light-activated fluorogenic photosensitizer for RNA proximity labeling. Nucleic Acids Research. 52(7). e36–e36. 9 indexed citations
3.
Shi, Shasha, Xueni Li, Lingdi Zhang, et al.. (2024). Selected humanization of yeast U1 snRNP leads to global suppression of pre-mRNA splicing and mitochondrial dysfunction in the budding yeast. RNA. 30(8). 1070–1088. 3 indexed citations
4.
Wong, Chun Hao, Steven Wingett, Qian Chen, et al.. (2024). Genome-scale requirements for dynein-based transport revealed by a high-content arrayed CRISPR screen. The Journal of Cell Biology. 223(5). 2 indexed citations
5.
Han, Ke-Jun, et al.. (2023). The role of midbody-associated mRNAs in regulating abscission. The Journal of Cell Biology. 222(12). 10 indexed citations
6.
Goering, Raeann, et al.. (2023). RNA localization mechanisms transcend cell morphology. eLife. 12. 21 indexed citations
7.
Lee, Seungjae, Yen‐Chung Chen, Austin E. Gillen, et al.. (2022). Diverse cell-specific patterns of alternative polyadenylation in Drosophila. Nature Communications. 13(1). 5372–5372. 13 indexed citations
8.
Engel, Krysta L., Hei‐Yong G. Lo, Raeann Goering, et al.. (2021). Analysis of subcellular transcriptomes by RNA proximity labeling with Halo-seq. Nucleic Acids Research. 50(4). e24–e24. 47 indexed citations
9.
Lee, Seungjae, Wei Lü, Raeann Goering, et al.. (2021). ELAV/Hu RNA binding proteins determine multiple programs of neural alternative splicing. PLoS Genetics. 17(4). e1009439–e1009439. 34 indexed citations
10.
Raj, Nisha, Zachary T. McEachin, Ying Zhou, et al.. (2021). Cell-type-specific profiling of human cellular models of fragile X syndrome reveal PI3K-dependent defects in translation and neurogenesis. Cell Reports. 35(2). 108991–108991. 39 indexed citations
11.
Gillen, Austin E., Raeann Goering, & J. Matthew Taliaferro. (2021). Quantifying alternative polyadenylation in RNAseq data with LABRAT. Methods in enzymology on CD-ROM/Methods in enzymology. 655. 245–263. 1 indexed citations
12.
Nemkov, Travis, et al.. (2020). Gene–Diet Interactions: Dietary Rescue of Metabolic Defects in spen -Depleted Drosophila melanogaster. Genetics. 214(4). 961–975. 13 indexed citations
13.
Engel, Krysta L., Ankita Arora, Raeann Goering, Hei‐Yong G. Lo, & J. Matthew Taliaferro. (2020). Mechanisms and consequences of subcellular RNA localization across diverse cell types. Traffic. 21(6). 404–418. 56 indexed citations
14.
Goering, Raeann, Laura I. Hudish, Bryan B. Guzmán, et al.. (2020). FMRP promotes RNA localization to neuronal projections through interactions between its RGG domain and G-quadruplex RNA sequences. eLife. 9. 87 indexed citations
15.
Hudish, Laura I., Andrew N. Bubak, Taylor M. Triolo, et al.. (2020). Modeling Hypoxia-Induced Neuropathies Using a Fast and Scalable Human Motor Neuron Differentiation System. Stem Cell Reports. 14(6). 1033–1043. 7 indexed citations
16.
Wang, Eric T., J. Matthew Taliaferro, Ji-Ann Lee, et al.. (2016). Dysregulation of mRNA Localization and Translation in Genetic Disease. Journal of Neuroscience. 36(45). 11418–11426. 77 indexed citations
17.
Taliaferro, J. Matthew, Eric T. Wang, & Christopher B. Burge. (2014). Genomic analysis of RNA localization. RNA Biology. 11(8). 1040–1050. 22 indexed citations
18.
Taliaferro, J. Matthew, et al.. (2013). The Drosophila Splicing Factor PSI Is Phosphorylated by Casein Kinase II and Tousled-Like Kinase. PLoS ONE. 8(2). e56401–e56401. 2 indexed citations
19.
Taliaferro, J. Matthew, et al.. (2011). Evolution of a tissue-specific splicing network. Genes & Development. 25(6). 608–620. 15 indexed citations
20.
Islam, A. S., et al.. (1970). Novel ESTs from a Jute (Corchorus olitorius L.) cDNA Library. Plant Tissue Culture and Biotechnology. 17(2). 173–182. 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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