Ted Powers

5.5k citations
54 papers · 4.4k · h-index 36

Impact in

  • Aging top 2%
    • RNA and protein synthesis mechanisms
    • RNA modifications and cancer
    • Fungal and yeast genetics research
    • RNA Research and Splicing
    • PI3K/AKT/mTOR signaling in cancer

Papers in

    • RNA and protein synthesis mechanisms 21
    • Fungal and yeast genetics research 19
    • RNA modifications and cancer 18
    • RNA Research and Splicing 11
    • PI3K/AKT/mTOR signaling in cancer 11
    • Endoplasmic Reticulum Stress and Disease 5
    • Cellular transport and secretion 5

Ted Powers

53 papers receiving 4.3k citations

Peers

Ted Powers
Comparison fields: 5 of 101
  • Aging 145
  • Molecular Biology 4.0k
  • Cell Biology 631
  • Genetics 668
  • Pharmacology 236
Replace Paul Jenoe with:
Paul Jenoe Switzerland
Mark Goebl United States
Katja Siegers Germany
Jean D. Beggs United Kingdom
L Guarente United States
Gerald C. Johnston Canada
Ian M. Willis United States
Mirita Franz‐Wachtel Germany
R Sikorski United States
Cora A. Styles United States
Ted Powers relative to Paul Jenoe Switzerland Paul Jenoe's profile →
Citations per field
00.5×2.5×
Paul Jenoe · 1×
Citations per year

Countries citing papers authored by Ted Powers

Since Specialization
Citations

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

Fields of papers citing papers by Ted Powers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Ted Powers, 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 Ted Powers Line = papers co-authored together Ted Powers links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 54 papers — load more, or switch the sort, to bring in the rest.

#Work
1 1999328
2 2002263
3 1989252
4 1991237
5 2004204
6 2003195
7 2000189
8
Hydroxyl radical footprinting of ribosomal proteins on 16S rRNA.
1995184
9 1995175
10 1997160
11 2008159
12 2006149
13 1990116
14 2012111
15 200298
16 198894
17 199394
18 200778
19 200474
20 199473

About Ted Powers

Ted Powers is a scholar working on Molecular Biology, Cell Biology, Ecology, Epidemiology and Genetics, having authored 54 papers that have together received 4.4k indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (21 papers), Fungal and yeast genetics research (19 papers), RNA modifications and cancer (18 papers), RNA Research and Splicing (11 papers), PI3K/AKT/mTOR signaling in cancer (11 papers), Endoplasmic Reticulum Stress and Disease (5 papers), Cellular transport and secretion (5 papers) and Autophagy in Disease and Therapy (5 papers). The work is most often cited by research in Aging (145 citations), Molecular Biology (4.0k citations), Cell Biology (631 citations), Genetics (668 citations) and Pharmacology (236 citations). Ted Powers has collaborated with scholars based in United States, Switzerland and Poland. Frequent co-authors include Harry F. Noller, Peter Walter, Karen P. Wedaman, Sofia Aronova, Li‐Ming Changchien, Seth Stern, H F Noller, Michael N. Hall, Brad J. Niles and Peter Walter. Their work appears in journals such as Molecular Biology of the Cell, Journal of Molecular Biology, Journal of Biological Chemistry, Proceedings of the National Academy of Sciences and Cell Metabolism.

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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