Matthew R. Gazzara

3.1k total citations
29 papers, 910 citations indexed

About

Matthew R. Gazzara is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Matthew R. Gazzara has authored 29 papers receiving a total of 910 indexed citations (citations by other indexed papers that have themselves been cited), including 26 papers in Molecular Biology, 3 papers in Genetics and 3 papers in Cancer Research. Recurrent topics in Matthew R. Gazzara's work include RNA Research and Splicing (24 papers), RNA modifications and cancer (18 papers) and RNA and protein synthesis mechanisms (12 papers). Matthew R. Gazzara is often cited by papers focused on RNA Research and Splicing (24 papers), RNA modifications and cancer (18 papers) and RNA and protein synthesis mechanisms (12 papers). Matthew R. Gazzara collaborates with scholars based in United States, United Kingdom and Switzerland. Matthew R. Gazzara's co-authors include Yoseph Barash, Kristen W. Lynch, Jorge Vaquero-Garcia, Nicholas F. Lahens, Anupama Jha, Michael J. Mallory, Alejandro Barrera, Juan González‐Vallinas, John B. Hogenesch and Nicole M. Martínez 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

Matthew R. Gazzara

27 papers receiving 898 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew R. Gazzara United States 16 771 156 105 76 39 29 910
Gloria Sheynkman United States 19 915 1.2× 168 1.1× 65 0.6× 75 1.0× 51 1.3× 39 1.1k
Philippe Cloutier Canada 15 1.0k 1.3× 93 0.6× 70 0.7× 54 0.7× 60 1.5× 22 1.1k
Michèle Ernoult‐Lange France 15 1.2k 1.5× 156 1.0× 57 0.5× 56 0.7× 32 0.8× 19 1.3k
Shatakshi Pandit United States 8 1.0k 1.3× 137 0.9× 67 0.6× 51 0.7× 28 0.7× 9 1.1k
Carolina Eliscovich United States 12 931 1.2× 132 0.8× 40 0.4× 58 0.8× 27 0.7× 15 1.1k
Michal Domanski Switzerland 12 1.0k 1.4× 136 0.9× 44 0.4× 31 0.4× 29 0.7× 16 1.1k
Brian T. Lee United States 6 889 1.2× 242 1.6× 69 0.7× 205 2.7× 57 1.5× 8 1.1k
Isabel X. Wang United States 11 1.1k 1.4× 165 1.1× 58 0.6× 130 1.7× 121 3.1× 12 1.2k
Weijun Ma China 9 644 0.8× 134 0.9× 99 0.9× 49 0.6× 57 1.5× 35 838
Jairo Navarro Gonzalez United States 4 628 0.8× 194 1.2× 58 0.6× 177 2.3× 51 1.3× 5 858

Countries citing papers authored by Matthew R. Gazzara

Since Specialization
Citations

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

Fields of papers citing papers by Matthew R. Gazzara

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew R. Gazzara

This figure shows the co-authorship network connecting the top 25 collaborators of Matthew R. Gazzara. A scholar is included among the top collaborators of Matthew R. Gazzara 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 Matthew R. Gazzara. Matthew R. Gazzara 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.
Gazzara, Matthew R., et al.. (2025). The exon junction complex coordinates the cotranscriptional inclusion of blocks of neighboring exons. Genes & Development. 40(1-2). 94–109.
2.
Wang, David, et al.. (2025). A deep dive into statistical modeling of RNA splicing QTLs reveals variants that explain neurodegenerative disease. The American Journal of Human Genetics. 112(12). 3010–3029.
3.
Gazzara, Matthew R., et al.. (2024). Alternative 3′UTR expression induced by T cell activation is regulated in a temporal and signal dependent manner. Scientific Reports. 14(1). 10987–10987. 1 indexed citations
4.
Bhat, Prasanna, Vasilisa Aksenova, Matthew R. Gazzara, et al.. (2023). Influenza virus mRNAs encode determinants for nuclear export via the cellular TREX-2 complex. Nature Communications. 14(1). 2304–2304. 14 indexed citations
5.
Hysenaj, Gerald, Caroline Dalgliesh, Kathleen Cheung, et al.. (2023). An anciently diverged family of RNA binding proteins maintain correct splicing of a class of ultra-long exons through cryptic splice site repression. eLife. 12. 1 indexed citations
6.
Mallory, Michael J., et al.. (2023). Alternative splicing of HDAC7 regulates its interaction with 14-3-3 proteins to alter histone marks and target gene expression. Cell Reports. 42(3). 112273–112273. 8 indexed citations
7.
Xie, Yihu, Shengyan Gao, Ke Zhang, et al.. (2023). Structural basis for high-order complex of SARNP and DDX39B to facilitate mRNP assembly. Cell Reports. 42(8). 112988–112988. 13 indexed citations
8.
Vaquero-Garcia, Jorge, Joseph K. Aicher, Matthew R. Gazzara, et al.. (2023). RNA splicing analysis using heterogeneous and large RNA-seq datasets. Nature Communications. 14(1). 1230–1230. 38 indexed citations
9.
Le, Trang T., et al.. (2021). Analysis of scientific society honors reveals disparities. Cell Systems. 12(9). 900–906.e5. 7 indexed citations
10.
Jha, Anupama, Joseph K. Aicher, Matthew R. Gazzara, Deependra Singh, & Yoseph Barash. (2020). Enhanced Integrated Gradients: improving interpretability of deep learning models using splicing codes as a case study. Genome biology. 21(1). 149–149. 45 indexed citations
11.
Ehrmann, Ingrid, James H. Crichton, Matthew R. Gazzara, et al.. (2019). An ancient germ cell-specific RNA-binding protein protects the germline from cryptic splice site poisoning. eLife. 8. 23 indexed citations
12.
Gazzara, Matthew R., Caleb M. Radens, Simone Sidoli, et al.. (2019). Deep profiling and custom databases improve detection of proteoforms generated by alternative splicing. Genome Research. 29(12). 2046–2055. 21 indexed citations
13.
Chatrikhi, Rakesh, Michael J. Mallory, Matthew R. Gazzara, et al.. (2019). RNA Binding Protein CELF2 Regulates Signal-Induced Alternative Polyadenylation by Competing with Enhancers of the Polyadenylation Machinery. Cell Reports. 28(11). 2795–2806.e3. 31 indexed citations
14.
Green, Christopher J., Matthew R. Gazzara, & Yoseph Barash. (2017). MAJIQ-SPEL: web-tool to interrogate classical and complex splicing variations from RNA-Seq data. Bioinformatics. 34(2). 300–302. 14 indexed citations
15.
Jha, Anupama, Matthew R. Gazzara, & Yoseph Barash. (2017). Integrative deep models for alternative splicing. Bioinformatics. 33(14). i274–i282. 54 indexed citations
16.
Gazzara, Matthew R., et al.. (2017). Ancient antagonism between CELF and RBFOX families tunes mRNA splicing outcomes. Genome Research. 27(8). 1360–1370. 38 indexed citations
17.
Mallory, Michael J., Samuel J. Allon, Jinsong Qiu, et al.. (2015). Induced transcription and stability of CELF2 mRNA drives widespread alternative splicing during T-cell signaling. Proceedings of the National Academy of Sciences. 112(17). E2139–48. 52 indexed citations
18.
Martínez, Nicole M., Jinsong Qiu, Michael J. Mallory, et al.. (2015). Widespread JNK-dependent alternative splicing induces a positive feedback loop through CELF2-mediated regulation of MKK7 during T-cell activation. Genes & Development. 29(19). 2054–2066. 54 indexed citations
19.
Raynes, Yevgeniy, Matthew R. Gazzara, & Paul Sniegowski. (2012). CONTRASTING DYNAMICS OF A MUTATOR ALLELE IN ASEXUAL POPULATIONS OF DIFFERING SIZE. Evolution. 66(7). 2329–2334. 15 indexed citations
20.
Raynes, Yevgeniy, Matthew R. Gazzara, & Paul Sniegowski. (2011). Mutator dynamics in sexual and asexual experimental populations of yeast. BMC Evolutionary Biology. 11(1). 158–158. 28 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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