Eric Aeby

1.2k citations
14 papers · 880 · h-index 12

Impact in

Papers in

    • RNA modifications and cancer 5
    • RNA and protein synthesis mechanisms 3
    • CRISPR and Genetic Engineering 2
    • DNA Repair Mechanisms 2
    • Telomeres, Telomerase, and Senescence 5

Eric Aeby

14 papers receiving 872 citations

Peers

Eric Aeby
Comparison fields: 5 of 75
  • Aging 66
  • Physiology 309
  • Molecular Biology 675
  • Cancer Research 107
  • Parasitology 44
Replace Matheus Oliveira with:
Matheus Oliveira Brazil
Peter Mayinger United States
Yue Xie United States
Ivan A. Olovnikov Russia
Luke O. Dannenberg United States
Dooha Kim United States
Christopher J. Bley United States
Runqing Huang China
Kiran Busayavalasa Sweden
Aurélien Griffon France
Eric Aeby relative to Matheus Oliveira Brazil Matheus Oliveira's profile →
Citations per field
00.5×2×3×3.6×
Matheus Oliveira · 1×
Citations per year

Countries citing papers authored by Eric Aeby

Since Specialization
Citations

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

Fields of papers citing papers by Eric Aeby

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2017215
2 2016119
3 2017102
4 201697
5 201386
6 201072
7 200759
8 202133
9 200925
10 202021
11 200620
12 201019
13 200911
14 20151

About Eric Aeby

Eric Aeby is a scholar working on Molecular Biology, Physiology, Parasitology, Epidemiology and Nutrition and Dietetics, having authored 14 papers that have together received 880 indexed citations. Recurring topics across this work include RNA modifications and cancer (5 papers), Telomeres, Telomerase, and Senescence (5 papers), Trypanosoma species research and implications (4 papers), RNA and protein synthesis mechanisms (3 papers), CRISPR and Genetic Engineering (2 papers), Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (2 papers), Parasitic Infections and Diagnostics (2 papers) and DNA Repair Mechanisms (2 papers). The work is most often cited by research in Aging (66 citations), Physiology (309 citations), Molecular Biology (675 citations), Cancer Research (107 citations) and Parasitology (44 citations). Eric Aeby has collaborated with scholars based in Switzerland, United States and Canada. Frequent co-authors include Jeannie T. Lee, André Schneider, Teddy Jégu, Joachim Lingner, Barry Kesner, Hun-Goo Lee, Wilhelm Haas, Hyun Jung Oh, Myriam Boukhali and Catherine Cifuentes‐Rojas. Their work appears in journals such as Cell, Molecular Microbiology, Nature Reviews Genetics, Journal of Biological Chemistry and Nucleic Acids Research.

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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