Michael Polymenis

2.7k total citations
62 papers, 1.5k citations indexed

About

Michael Polymenis is a scholar working on Molecular Biology, Cell Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Michael Polymenis has authored 62 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Molecular Biology, 11 papers in Cell Biology and 5 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Michael Polymenis's work include Fungal and yeast genetics research (28 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (9 papers). Michael Polymenis is often cited by papers focused on Fungal and yeast genetics research (28 papers), RNA and protein synthesis mechanisms (13 papers) and RNA modifications and cancer (9 papers). Michael Polymenis collaborates with scholars based in United States, Singapore and Russia. Michael Polymenis's co-authors include Emmett V. Schmidt, Rodolfo Aramayo, B. David Stollar, Heidi M. Blank, Jinbai Guo, John A. Branda, Brian K. Kennedy, Anil K. Rustgi, Robin M. Jones and Michele A. Gadd and has published in prestigious journals such as Nature, Nucleic Acids Research and Genes & Development.

In The Last Decade

Michael Polymenis

59 papers receiving 1.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Polymenis United States 22 1.2k 252 125 123 122 62 1.5k
Maximiliane Hilger Germany 11 1.2k 1.0× 257 1.0× 84 0.7× 115 0.9× 92 0.8× 11 1.6k
John R. Yates United States 7 936 0.8× 407 1.6× 53 0.4× 77 0.6× 46 0.4× 8 1.4k
Quinn Lu United States 19 1.3k 1.0× 184 0.7× 129 1.0× 66 0.5× 288 2.4× 35 1.5k
June‐Tai Wu Taiwan 18 1.4k 1.2× 154 0.6× 73 0.6× 116 0.9× 369 3.0× 42 1.8k
Ariana D. Sanchez United States 6 939 0.8× 807 3.2× 63 0.5× 78 0.6× 68 0.6× 7 1.5k
Lee W. Slice United States 21 1.1k 0.9× 262 1.0× 34 0.3× 107 0.9× 131 1.1× 30 1.7k
Kevin E. Knockenhauer United States 14 998 0.8× 222 0.9× 57 0.5× 93 0.8× 41 0.3× 21 1.3k
Brandt L. Schneider United States 17 1.3k 1.1× 393 1.6× 194 1.6× 34 0.3× 140 1.1× 34 1.5k
Yuichiro Takagi United States 25 1.5k 1.2× 106 0.4× 167 1.3× 81 0.7× 91 0.7× 63 1.9k
Elah Pick Israel 22 1.2k 0.9× 327 1.3× 208 1.7× 284 2.3× 197 1.6× 42 1.7k

Countries citing papers authored by Michael Polymenis

Since Specialization
Citations

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

Fields of papers citing papers by Michael Polymenis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Polymenis

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Polymenis. A scholar is included among the top collaborators of Michael Polymenis 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 Michael Polymenis. Michael Polymenis 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.
Blank, Heidi M., Michael Polymenis, David W. Threadgill, et al.. (2025). Noninvasive Optical Sensing of Aging and Diet Preferences Using Raman Spectroscopy. Analytical Chemistry. 97(1). 969–975.
2.
3.
Blank, Heidi M., Mitsuhiro Tsuchiya, Marcel Brun, et al.. (2024). Late-life dietary folate restriction reduces biosynthesis without compromising healthspan in mice. Life Science Alliance. 7(10). e202402868–e202402868. 2 indexed citations
4.
Blank, Heidi M., et al.. (2023). Branched‐chain amino acid synthesis is coupled to TOR activation early in the cell cycle in yeast. EMBO Reports. 24(9). e57372–e57372. 4 indexed citations
5.
Polymenis, Michael. (2022). mRNA-binding proteins and cell cycle progression. Trends in Genetics. 38(8). 797–800. 4 indexed citations
6.
7.
Polymenis, Michael. (2020). Ribosomal proteins: mutant phenotypes by the numbers and associated gene expression changes. Open Biology. 10(8). 200114–200114. 15 indexed citations
8.
Bermúdez‐Cruz, Rosa María, et al.. (2020). Phenotypic Associations Among Cell Cycle Genes in Saccharomyces cerevisiae. G3 Genes Genomes Genetics. 10(7). 2345–2351. 2 indexed citations
9.
Zou, Ke, Silvi Rouskin, Mark A. McCormick, et al.. (2020). Life span extension by glucose restriction is abrogated by methionine supplementation: Cross-talk between glucose and methionine and implication of methionine as a key regulator of life span. Science Advances. 6(32). eaba1306–eaba1306. 54 indexed citations
10.
Blank, Heidi M., Ophelia Papoulas, Brian K. Kennedy, et al.. (2020). Abundances of transcripts, proteins, and metabolites in the cell cycle of budding yeast reveal coordinate control of lipid metabolism. Molecular Biology of the Cell. 31(10). 1069–1084. 27 indexed citations
11.
Anandhakumar, Jayamani, et al.. (2018). Perturbations of Transcription and Gene Expression-Associated Processes Alter Distribution of Cell Size Values in Saccharomyces cerevisiae. G3 Genes Genomes Genetics. 9(1). 239–250. 7 indexed citations
12.
Huang, Jin, Carl J. Mousley, Guillaume Drin, et al.. (2018). A Lipid Transfer Protein Signaling Axis Exerts Dual Control of Cell-Cycle and Membrane Trafficking Systems. Developmental Cell. 44(3). 378–391.e5. 27 indexed citations
13.
Blank, Heidi M., et al.. (2018). Scaling of G1 Duration with Population Doubling Time by a Cyclin in Saccharomyces cerevisiae. Genetics. 210(3). 895–906. 12 indexed citations
14.
Blank, Heidi M., Chong He, Richard P. Metz, et al.. (2017). Translational control of lipogenic enzymes in the cell cycle of synchronous, growing yeast cells. The EMBO Journal. 36(4). 487–502. 52 indexed citations
15.
Polymenis, Michael. (2017). Proteins associated with the doubling time of the NCI-60 cancer cell lines. Cell Division. 12(1). 6–6. 6 indexed citations
16.
Aramayo, Rodolfo & Michael Polymenis. (2017). Ribosome profiling the cell cycle: lessons and challenges. Current Genetics. 63(6). 959–964. 16 indexed citations
17.
He, Chong, Scott Tsuchiyama, Quynh Thi Thuy Nguyen, et al.. (2014). Enhanced Longevity by Ibuprofen, Conserved in Multiple Species, Occurs in Yeast through Inhibition of Tryptophan Import. PLoS Genetics. 10(12). e1004860–e1004860. 77 indexed citations
18.
Park, Jaewon, Jianzhang Wu, Michael Polymenis, & Arum Han. (2013). Microchemostat array with small-volume fraction replenishment for steady-state microbial culture. Lab on a Chip. 13(21). 4217–4217. 18 indexed citations
19.
Blank, Heidi M., et al.. (2007). The Dcr2p phosphatase destabilizes Sic1p in Saccharomyces cerevisiae. Biochemical and Biophysical Research Communications. 361(3). 700–704. 8 indexed citations
20.
Blank, Heidi M., et al.. (2006). CDK Control of Membrane-Bound Organelle Homeostasis. Cell Cycle. 5(5). 486–488. 2 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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