Gloria A. Brar

9.6k total citations · 3 hit papers
40 papers, 6.6k citations indexed

About

Gloria A. Brar is a scholar working on Molecular Biology, Cell Biology and Plant Science. According to data from OpenAlex, Gloria A. Brar has authored 40 papers receiving a total of 6.6k indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Molecular Biology, 6 papers in Cell Biology and 3 papers in Plant Science. Recurrent topics in Gloria A. Brar's work include RNA and protein synthesis mechanisms (21 papers), RNA Research and Splicing (19 papers) and RNA modifications and cancer (15 papers). Gloria A. Brar is often cited by papers focused on RNA and protein synthesis mechanisms (21 papers), RNA Research and Splicing (19 papers) and RNA modifications and cancer (15 papers). Gloria A. Brar collaborates with scholars based in United States, Switzerland and Belgium. Gloria A. Brar's co-authors include Jonathan S. Weissman, Nicholas T. Ingolia, Noam Stern‐Ginossar, Luke A. Gilbert, Lei S. Qi, Onn Brandman, Evan H. Whitehead, Matthew H. Larson, Zairan Liu and Jennifer A. Doudna and has published in prestigious journals such as Nature, Science and Cell.

In The Last Decade

Gloria A. Brar

40 papers receiving 6.6k citations

Hit Papers

CRISPR-Mediated Modular RNA-Guided Regulation of Transcri... 2012 2026 2016 2021 2013 2012 2014 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Gloria A. Brar United States 23 6.1k 770 634 587 516 40 6.6k
Jacqueline E. Villalta United States 13 4.2k 0.7× 635 0.8× 350 0.6× 707 1.2× 194 0.4× 16 4.6k
Ella Hartenian United States 14 5.0k 0.8× 738 1.0× 389 0.6× 424 0.7× 332 0.6× 19 6.0k
Mudra Hegde United States 14 4.5k 0.7× 732 1.0× 462 0.7× 235 0.4× 192 0.4× 18 5.1k
Meagan E. Sullender United States 11 4.1k 0.7× 670 0.9× 450 0.7× 221 0.4× 193 0.4× 15 4.8k
Yannick Doyon Canada 25 4.6k 0.7× 1.2k 1.5× 467 0.7× 165 0.3× 492 1.0× 43 5.1k
Frédéric Pâques France 28 4.5k 0.7× 976 1.3× 840 1.3× 422 0.7× 287 0.6× 44 4.8k
Gregory J. Cost United States 27 7.5k 1.2× 1.7k 2.2× 1.7k 2.7× 222 0.4× 657 1.3× 45 8.4k
Xi Shi China 14 4.4k 0.7× 685 0.9× 186 0.3× 511 0.9× 336 0.7× 30 5.3k
Matthew H. Larson United States 14 8.2k 1.3× 2.0k 2.5× 658 1.0× 445 0.8× 154 0.3× 19 8.9k
Barbara Panning United States 35 7.4k 1.2× 2.4k 3.2× 712 1.1× 960 1.6× 1.0k 2.0× 66 8.8k

Countries citing papers authored by Gloria A. Brar

Since Specialization
Citations

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

Fields of papers citing papers by Gloria A. Brar

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Gloria A. Brar. 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 Gloria A. Brar. The network helps show where Gloria A. Brar may publish in the future.

Co-authorship network of co-authors of Gloria A. Brar

This figure shows the co-authorship network connecting the top 25 collaborators of Gloria A. Brar. A scholar is included among the top collaborators of Gloria A. Brar 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 Gloria A. Brar. Gloria A. Brar 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.
Jovanović, Marko, et al.. (2024). Analyses of translation factors Dbp1 and Ded1 reveal the cellular response to heat stress to be separable from stress granule formation. Cell Reports. 43(12). 115059–115059. 1 indexed citations
2.
Wende, Helen Vander, et al.. (2023). Meiotic resetting of the cellular Sod1 pool is driven by protein aggregation, degradation, and transient LUTI-mediated repression. The Journal of Cell Biology. 222(3). 3 indexed citations
5.
Otto, George M., et al.. (2021). Programmed cortical ER collapse drives selective ER degradation and inheritance in yeast meiosis. The Journal of Cell Biology. 220(12). 19 indexed citations
6.
Jorgensen, Victoria, Jingxun Chen, Helen Vander Wende, et al.. (2020). Tunable Transcriptional Interference at the Endogenous Alcohol Dehydrogenase Gene Locus in Drosophila melanogaster. G3 Genes Genomes Genetics. 10(5). 1575–1583. 7 indexed citations
7.
Hollerer, Ina, et al.. (2020). Global mapping of translation initiation sites by TIS profiling in budding yeast. STAR Protocols. 2(1). 100250–100250. 2 indexed citations
8.
Brar, Gloria A., et al.. (2020). Rules are made to be broken: a “simple” model organism reveals the complexity of gene regulation. Current Genetics. 67(1). 49–56. 2 indexed citations
9.
Hollerer, Ina, Victoria Jorgensen, Amy Tresenrider, et al.. (2019). Evidence for an Integrated Gene Repression Mechanism Based on mRNA Isoform Toggling in Human Cells. G3 Genes Genomes Genetics. 9(4). 1045–1053. 20 indexed citations
10.
Guenther, Ulf‐Peter, David E. Weinberg, Meghan Zubradt, et al.. (2018). The helicase Ded1p controls use of near-cognate translation initiation codons in 5′ UTRs. Nature. 559(7712). 130–134. 119 indexed citations
11.
Cheng, Ze, Christopher F Mugler, Abdurrahman Keskin, et al.. (2018). Small and Large Ribosomal Subunit Deficiencies Lead to Distinct Gene Expression Signatures that Reflect Cellular Growth Rate. Molecular Cell. 73(1). 36–47.e10. 81 indexed citations
12.
Ingolia, Nicholas T., Gloria A. Brar, Noam Stern‐Ginossar, et al.. (2014). Ribosome Profiling Reveals Pervasive Translation Outside of Annotated Protein-Coding Genes. Cell Reports. 8(5). 1365–1379. 480 indexed citations breakdown →
13.
González, Christian Chapa, Gloria A. Brar, Stefan Christen, et al.. (2013). Aneuploid yeast strains exhibit defects in cell growth and passage through START. Molecular Biology of the Cell. 24(9). 1274–1289. 73 indexed citations
14.
Gilbert, Luke A., Matthew H. Larson, Leonardo Morsut, et al.. (2013). CRISPR-Mediated Modular RNA-Guided Regulation of Transcription in Eukaryotes. Cell. 154(2). 442–451. 2686 indexed citations breakdown →
15.
Berchowitz, Luke E., Aaron S. Gajadhar, Folkert J. van Werven, et al.. (2013). A developmentally regulated translational control pathway establishes the meiotic chromosome segregation pattern. Genes & Development. 27(19). 2147–2163. 68 indexed citations
16.
Ingolia, Nicholas T., Gloria A. Brar, Silvi Rouskin, Anna McGeachy, & Jonathan S. Weissman. (2012). The ribosome profiling strategy for monitoring translation in vivo by deep sequencing of ribosome-protected mRNA fragments. Nature Protocols. 7(8). 1534–1550. 919 indexed citations breakdown →
17.
Regev, Aviv, Gloria A. Brar, Moran Yassour, et al.. (2011). High-Resolution View of the Yeast Meiotic Program Revealed by Ribosome Profiling. DSpace@MIT (Massachusetts Institute of Technology). 6 indexed citations
18.
Brar, Gloria A., et al.. (2008). The Multiple Roles of Cohesin in Meiotic Chromosome Morphogenesis and Pairing. Molecular Biology of the Cell. 20(3). 1030–1047. 74 indexed citations
19.
Brar, Gloria A. & Angelika Amon. (2008). Emerging roles for centromeres in meiosis I chromosome segregation. Nature Reviews Genetics. 9(12). 899–910. 113 indexed citations
20.
Hochwagen, Andreas, Wai‐Hong Tham, Gloria A. Brar, & Angelika Amon. (2005). The FK506 Binding Protein Fpr3 Counteracts Protein Phosphatase 1 to Maintain Meiotic Recombination Checkpoint Activity. Cell. 122(6). 861–873. 105 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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