Brian M. Wasko

2.2k total citations
25 papers, 1.0k citations indexed

About

Brian M. Wasko is a scholar working on Molecular Biology, Aging and Cell Biology. According to data from OpenAlex, Brian M. Wasko has authored 25 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 9 papers in Aging and 4 papers in Cell Biology. Recurrent topics in Brian M. Wasko's work include Genetics, Aging, and Longevity in Model Organisms (9 papers), Fungal and yeast genetics research (8 papers) and Bone health and treatments (3 papers). Brian M. Wasko is often cited by papers focused on Genetics, Aging, and Longevity in Model Organisms (9 papers), Fungal and yeast genetics research (8 papers) and Bone health and treatments (3 papers). Brian M. Wasko collaborates with scholars based in United States, China and Hong Kong. Brian M. Wasko's co-authors include Matt Kaeberlein, Raymond J. Hohl, Ernst‐Bernhard Kayser, Philip G. Morgan, Margaret M. Sedensky, Amel Dudakovic, Valerie Wall, Peter S. Rabinovitch, Simon C. Johnson and Kelly H. Oh and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nature Communications.

In The Last Decade

Brian M. Wasko

24 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Brian M. Wasko United States 17 820 215 144 112 77 25 1.0k
Monika Oláhová United Kingdom 16 690 0.8× 104 0.5× 114 0.8× 222 2.0× 114 1.5× 22 927
Mia L. Pras‐Raves Netherlands 18 686 0.8× 75 0.3× 223 1.5× 116 1.0× 77 1.0× 28 1.0k
Linda P. O’Reilly United States 9 320 0.4× 180 0.8× 90 0.6× 187 1.7× 30 0.4× 20 602
Sevan Mattie Canada 9 755 0.9× 50 0.2× 95 0.7× 126 1.1× 195 2.5× 11 871
Mariangela Conconi France 11 771 0.9× 102 0.5× 159 1.1× 151 1.3× 217 2.8× 11 1.1k
Ashwin Sriram Germany 12 404 0.5× 93 0.4× 96 0.7× 32 0.3× 57 0.7× 16 657
Raz Bar‐Ziv United States 13 537 0.7× 149 0.7× 89 0.6× 17 0.2× 50 0.6× 19 743
Jose M. Orozco United States 7 965 1.2× 88 0.4× 163 1.1× 23 0.2× 211 2.7× 8 1.3k
Jingquan He China 14 485 0.6× 93 0.4× 140 1.0× 11 0.1× 84 1.1× 28 831
Ryo Higuchi‐Sanabria United States 16 458 0.6× 245 1.1× 144 1.0× 20 0.2× 101 1.3× 42 796

Countries citing papers authored by Brian M. Wasko

Since Specialization
Citations

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

Fields of papers citing papers by Brian M. Wasko

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brian M. Wasko. 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 Brian M. Wasko. The network helps show where Brian M. Wasko may publish in the future.

Co-authorship network of co-authors of Brian M. Wasko

This figure shows the co-authorship network connecting the top 25 collaborators of Brian M. Wasko. A scholar is included among the top collaborators of Brian M. Wasko 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 Brian M. Wasko. Brian M. Wasko 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.
Breen, Andrew, et al.. (2025). An mTOR inhibitor discovery system using drug-sensitized yeast. GeroScience. 47(4). 5605–5617. 1 indexed citations
2.
Wasko, Brian M., et al.. (2022). A simple and accessible CRISPR genome editing laboratory exercise using yeast. PubMed. 2023. 2 indexed citations
3.
Holland, Cory, et al.. (2021). Suppression of telomere capping defects of Saccharomyces cerevisiae yku70 and yku80 mutants by telomerase. G3 Genes Genomes Genetics. 11(12). 1 indexed citations
4.
Cao, Xiaohua, Luyang Sun, Jun‐yi Zhu, et al.. (2021). Inactivating histone deacetylase HDA promotes longevity by mobilizing trehalose metabolism. Nature Communications. 12(1). 1981–1981. 33 indexed citations
5.
Cools, Tanne L., Kaat De Cremer, Belém Sampaio‐Marques, et al.. (2020). The antifungal plant defensin HsAFP1 induces autophagy, vacuolar dysfunction and cell cycle impairment in yeast. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1862(8). 183255–183255. 20 indexed citations
6.
Beaupère, Carine, et al.. (2017). CAN1 Arginine Permease Deficiency Extends Yeast Replicative Lifespan via Translational Activation of Stress Response Genes. Cell Reports. 18(8). 1884–1892. 18 indexed citations
7.
Cui, Hong, Xinguang Liu, Mark A. McCormick, et al.. (2015). PMT1 deficiency enhances basal UPR activity and extends replicative lifespan of Saccharomyces cerevisiae. AGE. 37(3). 9788–9788. 19 indexed citations
8.
Kaya, Alaattin, Siming Ma, Brian M. Wasko, et al.. (2015). Defining molecular basis for longevity traits in natural yeast isolates. PubMed. 1(1). 13 indexed citations
9.
Sen, Payel, Weiwei Dang, Greg Donahue, et al.. (2015). H3K36 methylation promotes longevity by enhancing transcriptional fidelity. Genes & Development. 29(13). 1362–1376. 164 indexed citations
10.
Wasko, Brian M., Zhongyu Li, Rebecca Peters, et al.. (2015). Tether mutations that restore function and suppress pleiotropic phenotypes of theC. elegans isp-1(qm150)Rieske iron–sulfur protein. Proceedings of the National Academy of Sciences. 112(45). E6148–57. 16 indexed citations
11.
Liu, Bin, Qi Peng, Brian M. Wasko, et al.. (2014). Nar1 deficiency results in shortened lifespan and sensitivity to paraquat that is rescued by increased expression of mitochondrial superoxide dismutase. Mechanisms of Ageing and Development. 138. 53–58. 7 indexed citations
12.
Johnson, Simon C., Ernst‐Bernhard Kayser, Albert Quintana, et al.. (2013). mTOR Inhibition Alleviates Mitochondrial Disease in a Mouse Model of Leigh Syndrome. Science. 342(6165). 1524–1528. 401 indexed citations
13.
Wasko, Brian M. & Matt Kaeberlein. (2013). Yeast replicative aging: a paradigm for defining conserved longevity interventions. FEMS Yeast Research. 14(1). 148–159. 52 indexed citations
14.
Schleit, Jennifer, Brian M. Wasko, & Matt Kaeberlein. (2012). Yeast as a model to understand the interaction between genotype and the response to calorie restriction. FEBS Letters. 586(18). 2868–2873. 21 indexed citations
15.
Wasko, Brian M., et al.. (2011). A novel bisphosphonate inhibitor of squalene synthase combined with a statin or a nitrogenous bisphosphonate in vitro. Journal of Lipid Research. 52(11). 1957–1964. 25 indexed citations
16.
Wasko, Brian M., Amel Dudakovic, & Raymond J. Hohl. (2011). Bisphosphonates Induce Autophagy by Depleting Geranylgeranyl Diphosphate. Journal of Pharmacology and Experimental Therapeutics. 337(2). 540–546. 51 indexed citations
17.
Wasko, Brian M., et al.. (2010). Synthesis and biological evaluation of a series of aromatic bisphosphonates. Bioorganic & Medicinal Chemistry. 18(20). 7212–7220. 23 indexed citations
18.
Wiemer, Andrew J., et al.. (2008). Pivaloyloxymethyl-modified isoprenoid bisphosphonates display enhanced inhibition of cellular geranylgeranylation. Bioorganic & Medicinal Chemistry. 16(7). 3652–3660. 46 indexed citations
19.
Wasko, Brian M., Cory Holland, Michael A. Resnick, & L. Kevin Lewis. (2008). Inhibition of DNA double-strand break repair by the Ku heterodimer in mrx mutants of Saccharomyces cerevisiae. DNA repair. 8(2). 162–169. 32 indexed citations
20.
Wasko, Brian M.. (2006). Interactions Between DNA Double-strand Break Repair Proteins and the Telomerase DNA Replication Complex.

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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