Michael Polymenis

2.7k citations
62 papers · 1.9k · h-index 22

Impact in

  • Aging top 1%
    • Genetics, Aging, and Longevity in Model Organisms
    • Fungal and yeast genetics research
    • RNA and protein synthesis mechanisms
    • Genomics and Chromatin Dynamics
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • Fungal and yeast genetics research 29
    • RNA and protein synthesis mechanisms 9
    • PI3K/AKT/mTOR signaling in cancer 3
    • Genomics and Chromatin Dynamics 3
    • Genetics, Aging, and Longevity in Model Organisms 6

Michael Polymenis

61 papers receiving 1.9k citations

Peers

Michael Polymenis
Comparison fields: 5 of 96
  • Aging 155
  • Molecular Biology 1.2k
  • Cell Biology 201
  • Biochemistry 44
  • Oncology 132
Replace R. Jürgen Dohmen with:
R. Jürgen Dohmen Germany
Alan G. Hinnebusch United States
Dongqing Huang United States
Traude Helene Beilharz Australia
Fang-Jen Scott Lee Taiwan
Hongfang Qiu United States
Vesela Encheva United Kingdom
Astrid Fauster Austria
Marı́a J. Mazón Spain
Carl Mann France
Michael Polymenis relative to R. Jürgen Dohmen Germany R. Jürgen Dohmen's profile →
Citations per field
00.5×2×2.5×
R. Jürgen Dohmen · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Michael Polymenis, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Michael Polymenis Line = papers co-authored together Michael Polymenis links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 62 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2004543
2 1996204
3 1999119
4 201484
5 201575
6 202055
7 201754
8 199343
9 199543
10 201240
11 200633
12 200833
13 201232
14 201730
15 201830
16 202029
17 202024
18 199423
19 200323
20 201423

About Michael Polymenis

Michael Polymenis is a scholar working on Molecular Biology, Aging, Cell Biology, Oncology and Biochemistry, having authored 62 papers that have together received 1.9k indexed citations. Recurring topics across this work include Fungal and yeast genetics research (29 papers), RNA and protein synthesis mechanisms (9 papers), Cancer-related Molecular Pathways (8 papers), Genetics, Aging, and Longevity in Model Organisms (6 papers), Monoclonal and Polyclonal Antibodies Research (4 papers), Microtubule and mitosis dynamics (3 papers), PI3K/AKT/mTOR signaling in cancer (3 papers) and Genomics and Chromatin Dynamics (3 papers). The work is most often cited by research in Aging (155 citations), Molecular Biology (1.2k citations), Cell Biology (201 citations), Biochemistry (44 citations) and Oncology (132 citations). Michael Polymenis has collaborated with scholars based in United States, Singapore and China. Frequent co-authors include Emmett V. Schmidt, Rodolfo Aramayo, B. David Stollar, Brian Keith Kennedy, Heidi M. Blank, Jinbai Guo, John A. Branda, Michele A. Gadd, Anil K. Rustgi and Lydia M. Bogomolnaya. Their work appears in journals such as Current Genetics, Genetics, G3 Genes Genomes Genetics, Microbial Cell and PLoS ONE.

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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