Jeff Aaronson

503 citations
9 papers · 356 · h-index 7

Impact in

Papers in

    • Genetic Neurodegenerative Diseases 8
    • Mitochondrial Function and Pathology 4
    • Muscle Physiology and Disorders 3
    • Microbial Metabolic Engineering and Bioproduction 1
    • RNA Research and Splicing 1
    • Lipid Membrane Structure and Behavior 1
    • Epigenetics and DNA Methylation 1

Jeff Aaronson

9 papers receiving 351 citations

Peers

Jeff Aaronson
Comparison fields: 5 of 61
  • Aging 21
  • Cellular and Molecular Neuroscience 119
  • Molecular Biology 273
  • Biological Psychiatry 9
  • Neurology 40
Replace Alberto Parras with:
Alberto Parras Spain
Karin Kojima Japan
Nebal Waill Saadi United Kingdom
Mahesh Mundalil Vasu Japan
Hanène Benrhouma Tunisia
Anna-Lena Schuetz Germany
Kamran Salayev United Kingdom
Haikun Song China
Jonathan P. Davies United Kingdom
Tanel Visnapuu Estonia
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Citations per field
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Citations per year

Countries citing papers authored by Jeff Aaronson

Since Specialization
Citations

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

Fields of papers citing papers by Jeff Aaronson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2016190
2 202055
3 201639
4 201521
5 202117
6 202211
7 202110
8 20197
9 20206

About Jeff Aaronson

Jeff Aaronson is a scholar working on Cellular and Molecular Neuroscience, Molecular Biology, Aging, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 9 papers that have together received 356 indexed citations. Recurring topics across this work include Genetic Neurodegenerative Diseases (8 papers), Mitochondrial Function and Pathology (4 papers), Muscle Physiology and Disorders (3 papers), Microbial Metabolic Engineering and Bioproduction (1 paper), RNA Research and Splicing (1 paper), Lipid Membrane Structure and Behavior (1 paper), Genetics, Aging, and Longevity in Model Organisms (1 paper) and Epigenetics and DNA Methylation (1 paper). The work is most often cited by research in Aging (21 citations), Cellular and Molecular Neuroscience (119 citations), Molecular Biology (273 citations), Biological Psychiatry (9 citations) and Neurology (40 citations). Jeff Aaronson has collaborated with scholars based in United States, France and New Zealand. Frequent co-authors include Jim Rosinski, Thomas Vogt, Giovanni Coppola, Seung Kwak, Henry John Waldvogel, Oi‐Wa Choi, Harry V. Vinters, Steve Horvath, Peter Langfelder and Richard L. M. Faull. Their work appears in journals such as ACS Chemical Biology, Nature Biotechnology, Aging, Bioinformatics and eLife.

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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