Margs S. Brennan

2.2k total citations
9 papers, 527 citations indexed

About

Margs S. Brennan is a scholar working on Molecular Biology, Oncology and Hematology. According to data from OpenAlex, Margs S. Brennan has authored 9 papers receiving a total of 527 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Oncology and 3 papers in Hematology. Recurrent topics in Margs S. Brennan's work include Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (2 papers) and Acute Myeloid Leukemia Research (2 papers). Margs S. Brennan is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), RNA modifications and cancer (2 papers) and Acute Myeloid Leukemia Research (2 papers). Margs S. Brennan collaborates with scholars based in Australia, Sweden and United Kingdom. Margs S. Brennan's co-authors include Marco J. Herold, Andreas Strasser, Lin Tai, Andrew J. Kueh, Gemma L. Kelly, Liam O’Connor, Liz Milla, Stephen Wilcox, Brandon J. Aubrey and Grant Dewson and has published in prestigious journals such as Nature Medicine, Nature reviews. Cancer and Blood.

In The Last Decade

Margs S. Brennan

8 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Margs S. Brennan Australia	6	415	171	97	65	48	9	527
Melisa Ruiz‐Gutierrez United States	9	742 1.8×	84 0.5×	92 0.9×	57 0.9×	81 1.7×	12	845
Jeffrey Hannah United States	7	341 0.8×	143 0.8×	84 0.9×	54 0.8×	43 0.9×	7	442
Pilvi Maliniemi Finland	10	248 0.6×	272 1.6×	138 1.4×	58 0.9×	92 1.9×	16	505
Bu Yin United States	10	534 1.3×	211 1.2×	178 1.8×	121 1.9×	37 0.8×	18	674
Edmond Chipumuro United States	9	707 1.7×	296 1.7×	49 0.5×	112 1.7×	57 1.2×	14	930
Senthilkumar Ramamoorthy Germany	14	471 1.1×	89 0.5×	215 2.2×	52 0.8×	66 1.4×	26	705
Kyong-Rim Kieffer-Kwon United States	9	617 1.5×	87 0.5×	207 2.1×	79 1.2×	60 1.3×	10	791
Margaret Bell United Kingdom	11	435 1.0×	222 1.3×	88 0.9×	75 1.2×	80 1.7×	19	560
Amanda Day United States	11	847 2.0×	240 1.4×	67 0.7×	92 1.4×	105 2.2×	15	965
Evangelia Loizou United States	7	548 1.3×	243 1.4×	66 0.7×	118 1.8×	75 1.6×	8	775

Countries citing papers authored by Margs S. Brennan

Since Specialization

Citations

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

Fields of papers citing papers by Margs S. Brennan

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Margs S. Brennan. 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 Margs S. Brennan. The network helps show where Margs S. Brennan may publish in the future.

Co-authorship network of co-authors of Margs S. Brennan

This figure shows the co-authorship network connecting the top 25 collaborators of Margs S. Brennan. A scholar is included among the top collaborators of Margs S. Brennan 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 Margs S. Brennan. Margs S. Brennan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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9 of 9 papers shown

Földvári, Zsófia, Margs S. Brennan, Aleksei Titov, Sten Eirik W. Jacobsen, & Johanna Olweus. (2025). Targeting the roots of myeloid malignancies with T cell receptors. Nature reviews. Cancer. 25(12). 965–985.

Brennan, Margs S., Stefan Bjelosevic, Teresa Sadras, et al.. (2024). A novel MYB::PAIP1 oncogenic fusion in pediatric blastic plasmacytoid dendritic cell neoplasm (BPDCN) is dependent on BCL2 expression and is sensitive to venetoclax. HemaSphere. 8(2). e1–e1. 2 indexed citations

Brennan, Margs S., Kerstin Brinkmann, Leonie Gibson, et al.. (2023). Combined absence of TRP53 target genes ZMAT3, PUMA and p21 cause a high incidence of cancer in mice. Cell Death and Differentiation. 31(2). 159–169. 8 indexed citations

Best, Sarah A., Cassandra J. Vandenberg, Etna Abad, et al.. (2020). Consequences of Zmat3 loss in c-MYC- and mutant KRAS-driven tumorigenesis. Cell Death and Disease. 11(10). 877–877. 9 indexed citations

Davidson, N., Stefan Bjelosevic, Margs S. Brennan, et al.. (2020). MLL-TFE3: a novel and aggressive KMT2A fusion identified in infant leukemia. Blood Advances. 4(19). 4918–4923. 4 indexed citations

Brennan, Margs S., Catherine Chang, Lin Tai, et al.. (2018). Humanized Mcl-1 mice enable accurate preclinical evaluation of MCL-1 inhibitors destined for clinical use. Blood. 132(15). 1573–1583. 66 indexed citations

Janic, Ana, Liz J. Valente, Matthew J. Wakefield, et al.. (2018). DNA repair processes are critical mediators of p53-dependent tumor suppression. Nature Medicine. 24(7). 947–953. 119 indexed citations

Brennan, Margs S., Andrew J. Kueh, Martin Pál, et al.. (2018). TRIM17 and TRIM28 antagonistically regulate the ubiquitination and anti-apoptotic activity of BCL2A1. Cell Death and Differentiation. 26(5). 902–917. 47 indexed citations

Aubrey, Brandon J., Gemma L. Kelly, Andrew J. Kueh, et al.. (2015). An Inducible Lentiviral Guide RNA Platform Enables the Identification of Tumor-Essential Genes and Tumor-Promoting Mutations In Vivo. Cell Reports. 10(8). 1422–1432. 272 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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