Barbara Mair

1.6k total citations
18 papers, 701 citations indexed

About

Barbara Mair is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Aging. According to data from OpenAlex, Barbara Mair has authored 18 papers receiving a total of 701 indexed citations (citations by other indexed papers that have themselves been cited), including 16 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 2 papers in Aging. Recurrent topics in Barbara Mair's work include Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA Research and Splicing (4 papers). Barbara Mair is often cited by papers focused on Epigenetics and DNA Methylation (4 papers), CRISPR and Genetic Engineering (4 papers) and RNA Research and Splicing (4 papers). Barbara Mair collaborates with scholars based in Austria, Canada and United Kingdom. Barbara Mair's co-authors include Jason Moffat, Charles Boone, Brenda Andrews, Sebastian Nijman, Elena Kuzmin, Jolanda van Leeuwen, Michael Costanzo, Stefan Kubicek, Amy H.Y. Tong and Sanna N. Masud and has published in prestigious journals such as Cell, Proceedings of the National Academy of Sciences and Angewandte Chemie International Edition.

In The Last Decade

Barbara Mair

16 papers receiving 692 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Barbara Mair Austria 13 508 123 93 79 73 18 701
Min-Joon Han United States 6 496 1.0× 243 2.0× 86 0.9× 64 0.8× 74 1.0× 11 843
Michael Boettcher Germany 14 502 1.0× 55 0.4× 147 1.6× 79 1.0× 119 1.6× 27 673
Casey E. Hughes United States 6 402 0.8× 119 1.0× 72 0.8× 135 1.7× 51 0.7× 7 611
Shoshanna N. Zucker United States 12 379 0.7× 35 0.3× 38 0.4× 52 0.7× 48 0.7× 24 597
Kevin Chen United States 9 249 0.5× 56 0.5× 42 0.5× 42 0.5× 24 0.3× 21 502
Aaron Urquhart Australia 8 722 1.4× 78 0.6× 87 0.9× 26 0.3× 158 2.2× 15 820
Archis Bagati United States 12 342 0.7× 40 0.3× 127 1.4× 23 0.3× 68 0.9× 15 588
Marieke Wottawa Germany 10 291 0.6× 63 0.5× 33 0.4× 59 0.7× 218 3.0× 11 540
Rossanna C. Pezo Canada 8 474 0.9× 67 0.5× 87 0.9× 73 0.9× 108 1.5× 27 614
W. Mathias Howell Sweden 10 593 1.2× 137 1.1× 38 0.4× 87 1.1× 26 0.4× 16 782

Countries citing papers authored by Barbara Mair

Since Specialization
Citations

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

Fields of papers citing papers by Barbara Mair

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Barbara Mair

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

All Works

18 of 18 papers shown
1.
Baltanás, Fernando C., Rósula García‐Navas, Enrico Patrucco, et al.. (2025). SOS1 inhibitor BI-3406 shows in vivo antitumor activity akin to genetic ablation and synergizes with a KRAS G12D inhibitor in KRAS LUAD. Proceedings of the National Academy of Sciences. 122(11). e2422943122–e2422943122. 1 indexed citations
2.
Thatikonda, Venu, Verena Supper, Johannes Wachter, et al.. (2024). Genetic dependencies associated with transcription factor activities in human cancer cell lines. Cell Reports. 43(5). 114175–114175.
3.
Valton, Anne-Laure, Sergey V. Venev, Barbara Mair, et al.. (2022). A cohesin traffic pattern genetically linked to gene regulation. Nature Structural & Molecular Biology. 29(12). 1239–1251. 43 indexed citations
4.
Köferle, Anna, Andreas Schlattl, Alexandra Hörmann, et al.. (2022). Interrogation of cancer gene dependencies reveals paralog interactions of autosome and sex chromosome-encoded genes. Cell Reports. 39(2). 110636–110636. 30 indexed citations
5.
Mair, Barbara, Michael Aregger, Amy H.Y. Tong, Katherine Chan, & Jason Moffat. (2021). A Method to Map Gene Essentiality of Human Pluripotent Stem Cells by Genome-Scale CRISPR Screens with Inducible Cas9. Methods in molecular biology. 2377. 1–27.
6.
Lamanna, Julian, E. Scott, Harrison Edwards, et al.. (2020). Digital microfluidic isolation of single cells for -Omics. Nature Communications. 11(1). 5632–5632. 126 indexed citations
7.
Mair, Barbara, Jelena Tomić, Sanna N. Masud, et al.. (2019). Essential Gene Profiles for Human Pluripotent Stem Cells Identify Uncharacterized Genes and Substrate Dependencies. Cell Reports. 27(2). 599–615.e12. 80 indexed citations
8.
Mair, Barbara, Peter M. Aldridge, Randy Singh Atwal, et al.. (2019). High-throughput genome-wide phenotypic screening via immunomagnetic cell sorting. Nature Biomedical Engineering. 3(10). 796–805. 65 indexed citations
9.
Costanzo, Michael, Elena Kuzmin, Jolanda van Leeuwen, et al.. (2019). Global Genetic Networks and the Genotype-to-Phenotype Relationship. Cell. 177(1). 85–100. 143 indexed citations
10.
Mair, Barbara, Jason Moffat, Charles Boone, & Brenda Andrews. (2019). Genetic interaction networks in cancer cells. Current Opinion in Genetics & Development. 54. 64–72. 23 indexed citations
11.
Wolstenhulme, Stephen, Anthony Tumber, Stephanie B. Hatch, et al.. (2017). Discovery of a Highly Selective Cell‐Active Inhibitor of the Histone Lysine Demethylases KDM2/7. Angewandte Chemie. 129(49). 15761–15765. 1 indexed citations
12.
Wolstenhulme, Stephen, Anthony Tumber, Stephanie B. Hatch, et al.. (2017). Discovery of a Highly Selective Cell‐Active Inhibitor of the Histone Lysine Demethylases KDM2/7. Angewandte Chemie International Edition. 56(49). 15555–15559. 33 indexed citations
13.
Mair, Barbara, Tomasz Konopka, Claudia Kerzendorfer, et al.. (2016). Gain- and Loss-of-Function Mutations in the Breast Cancer Gene GATA3 Result in Differential Drug Sensitivity. PLoS Genetics. 12(9). e1006279–e1006279. 35 indexed citations
14.
Šmída, Michal, Ferran Fece de la Cruz, Claudia Kerzendorfer, et al.. (2016). MEK inhibitors block growth of lung tumours with mutations in ataxia–telangiectasia mutated. Nature Communications. 7(1). 13701–13701. 33 indexed citations
15.
Muellner, Markus K., Barbara Mair, Yasir H. Ibrahim, et al.. (2015). Targeting a cell state common to triple‐negative breast cancers. Molecular Systems Biology. 11(2). 789–789. 23 indexed citations
16.
Mair, Barbara, Stefan Kubicek, & Sebastian Nijman. (2014). Exploiting epigenetic vulnerabilities for cancer therapeutics. Trends in Pharmacological Sciences. 35(3). 136–145. 47 indexed citations
17.
Mair, Barbara, Johannes Popow, Karl Mechtler, Stefan Weitzer, & Javier Martı̂nez. (2013). Intron excision from precursor tRNA molecules in mammalian cells requires ATP hydrolysis and phosphorylation of tRNA-splicing endonuclease components. Biochemical Society Transactions. 41(4). 831–837. 4 indexed citations
18.
Schenk, Thomas, Barbara Mair, & Josef Zihl. (2003). The use of visual feedback and on-line target information in catching and grasping. Experimental Brain Research. 154(1). 85–96. 14 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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