Yoseph Barash

7.5k total citations · 2 hit papers
63 papers, 3.6k citations indexed

About

Yoseph Barash is a scholar working on Molecular Biology, Cancer Research and Hematology. According to data from OpenAlex, Yoseph Barash has authored 63 papers receiving a total of 3.6k indexed citations (citations by other indexed papers that have themselves been cited), including 57 papers in Molecular Biology, 14 papers in Cancer Research and 3 papers in Hematology. Recurrent topics in Yoseph Barash's work include RNA Research and Splicing (42 papers), RNA modifications and cancer (39 papers) and RNA and protein synthesis mechanisms (24 papers). Yoseph Barash is often cited by papers focused on RNA Research and Splicing (42 papers), RNA modifications and cancer (39 papers) and RNA and protein synthesis mechanisms (24 papers). Yoseph Barash collaborates with scholars based in United States, Canada and Israel. Yoseph Barash's co-authors include Brendan J. Frey, Nir Friedman, Benjamin J. Blencowe, Ofer Shai, Matthew R. Gazzara, Qun Pan, Weijun Gao, Xinchen Wang, John A. Calarco and Hui Xiong and has published in prestigious journals such as Nature, Science and Proceedings of the National Academy of Sciences.

In The Last Decade

Yoseph Barash

58 papers receiving 3.5k citations

Hit Papers

The human splicing code reveals new insights into the gen... 2010 2026 2015 2020 2014 2010 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
Yoseph Barash United States 27 3.0k 481 386 196 166 63 3.6k
Hamed S. Najafabadi Canada 23 2.1k 0.7× 396 0.8× 357 0.9× 104 0.5× 179 1.1× 64 2.8k
Leo J. Lee Canada 11 4.3k 1.4× 830 1.7× 443 1.1× 201 1.0× 204 1.2× 16 5.1k
Han‐Yu Chuang United States 13 2.1k 0.7× 333 0.7× 377 1.0× 94 0.5× 139 0.8× 29 2.6k
Léon-Charles Tranchevent Belgium 27 2.4k 0.8× 299 0.6× 750 1.9× 278 1.4× 110 0.7× 44 3.1k
Syuzo Kaneko Japan 27 2.6k 0.9× 846 1.8× 276 0.7× 224 1.1× 67 0.4× 53 3.4k
Jeremy Gollub United States 14 2.1k 0.7× 599 1.2× 275 0.7× 151 0.8× 128 0.8× 18 3.3k
Joshua J. Waterfall United States 19 3.2k 1.1× 627 1.3× 400 1.0× 89 0.5× 369 2.2× 33 4.2k
Žiga Avsec Germany 10 2.1k 0.7× 290 0.6× 616 1.6× 201 1.0× 138 0.8× 14 2.8k
Jingyi Jessica Li United States 29 2.4k 0.8× 539 1.1× 273 0.7× 190 1.0× 244 1.5× 98 3.2k

Countries citing papers authored by Yoseph Barash

Since Specialization
Citations

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

Fields of papers citing papers by Yoseph Barash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yoseph Barash

This figure shows the co-authorship network connecting the top 25 collaborators of Yoseph Barash. A scholar is included among the top collaborators of Yoseph Barash 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 Yoseph Barash. Yoseph Barash 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.
Torres-Diz, Manuel, Clara Reglero, Katharina E. Hayer, et al.. (2024). An Alternatively Spliced Gain-of-Function NT5C2 Isoform Contributes to Chemoresistance in Acute Lymphoblastic Leukemia. Cancer Research. 84(20). 3327–3336. 3 indexed citations
3.
Wu, Di, Anupama Jha, Caleb M. Radens, et al.. (2024). Machine learning-optimized targeted detection of alternative splicing. Nucleic Acids Research. 53(3).
4.
Quesnel-Vallières, Mathieu, et al.. (2023). MAJIQlopedia: an encyclopedia of RNA splicing variations in human tissues and cancer. Nucleic Acids Research. 52(D1). D213–D221. 7 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.
Perales‐Linares, Renzo, Nektaria Maria Leli, Silvia Beghi, et al.. (2023). Parkin Deficiency Suppresses Antigen Presentation to Promote Tumor Immune Evasion and Immunotherapy Resistance. Cancer Research. 83(21). 3562–3576. 3 indexed citations
7.
Johnson, Taylor A., Yang Fang, Mathieu Quesnel-Vallières, et al.. (2022). The germ cell-specific RNA binding protein RBM46 is essential for spermatogonial differentiation in mice. PLoS Genetics. 18(9). e1010416–e1010416. 11 indexed citations
8.
Yang, Scarlett Y., Katharina E. Hayer, Hossein Fazelinia, et al.. (2022). FBXW7β isoform drives transcriptional activation of the proinflammatory TNF cluster in human pro-B cells. Blood Advances. 7(7). 1077–1091. 3 indexed citations
9.
Stoilov, Peter, et al.. (2022). The global Protein-RNA interaction map of ESRP1 defines a post-transcriptional program that is essential for epithelial cell function. iScience. 25(10). 105205–105205. 9 indexed citations
10.
Mallory, Michael J., Mathieu Quesnel-Vallières, Rakesh Chatrikhi, et al.. (2021). Alternative splicing redefines landscape of commonly mutated genes in acute myeloid leukemia. Proceedings of the National Academy of Sciences. 118(15). 27 indexed citations
11.
Ji, Xinjun, Anupama Jha, Louis R. Ghanem, et al.. (2021). RNA-Binding Proteins PCBP1 and PCBP2 Are Critical Determinants of Murine Erythropoiesis. Molecular and Cellular Biology. 41(9). e0066820–e0066820. 9 indexed citations
12.
Lee, David S.M., Joseph Park, Aris Baras, et al.. (2021). Disrupting upstream translation in mRNAs is associated with human disease. Nature Communications. 12(1). 1515–1515. 38 indexed citations
13.
Barbieri, Elisa, et al.. (2020). Rapid and Scalable Profiling of Nascent RNA with fastGRO. Cell Reports. 33(6). 108373–108373. 22 indexed citations
14.
Aicher, Joseph K., Paul Jewell, Jorge Vaquero-Garcia, Yoseph Barash, & Elizabeth Bhoj. (2020). Mapping RNA splicing variations in clinically accessible and nonaccessible tissues to facilitate Mendelian disease diagnosis using RNA-seq. Genetics in Medicine. 22(7). 1181–1190. 46 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.
Norton, Scott, Jorge Vaquero-Garcia, Nicholas F. Lahens, Gregory R. Grant, & Yoseph Barash. (2017). Outlier detection for improved differential splicing quantification from RNA-Seq experiments with replicates. Bioinformatics. 34(9). 1488–1497. 25 indexed citations
17.
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
18.
Lin, Jennie, Donna Conlon, Xiao Wang, et al.. (2017). Abstract 18960: RNA-binding Protein A1CF Modulates Plasma Triglyceride Levels Through Transcriptomic Regulation of Stress-Induced VLDL Secretion. Circulation. 1 indexed citations
19.
Xiong, Hui, Babak Alipanahi, Leo J. Lee, et al.. (2014). The human splicing code reveals new insights into the genetic determinants of disease. Science. 347(6218). 1254806–1254806. 829 indexed citations breakdown →
20.
Barash, Yoseph & Nir Friedman. (2002). Context-Specific Bayesian Clustering for Gene Expression Data. Journal of Computational Biology. 9(2). 169–191. 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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