Aaron Noll

2.4k citations
6 papers · 530 · h-index 6

Impact in

  • Cell Biology top 10%
    • Microtubule and mitosis dynamics
  • Genetics top 10%
    • Evolution and Genetic Dynamics
    • Genomic variations and chromosomal abnormalities

Papers in

    • Genomics and Phylogenetic Studies 2
    • CRISPR and Genetic Engineering 2
    • Genomics and Rare Diseases 2
    • Evolution and Genetic Dynamics 1

Aaron Noll

6 papers receiving 526 citations

Peers

Aaron Noll
Comparison fields: 5 of 64
  • Cell Biology 110
  • Genetics 175
  • Molecular Biology 347
  • Aging 9
  • Cancer Research 70
Replace Kendra Walton with:
Kendra Walton United States
Anna Azvolinsky United States
Patrick J. DiMario United States
Kate L. Hertweck United States
Silvana Gargano Italy
Neville Cobbe United Kingdom
Jue Ning China
Alissa M. Williams United States
Lynne Apone United States
Clara Moch France
Aaron Noll relative to Kendra Walton United States Kendra Walton's profile →
Citations per field
00.5×1.7×
Kendra Walton · 1×
Citations per year

Countries citing papers authored by Aaron Noll

Since Specialization
Citations

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

Fields of papers citing papers by Aaron Noll

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2008260
2 2009108
3 201384
4 201244
5 201620
6 201914

About Aaron Noll

Aaron Noll is a scholar working on Molecular Biology, Genetics, Plant Science, Industrial and Manufacturing Engineering and Ecology, having authored 6 papers that have together received 530 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (2 papers), Genomics and Rare Diseases (2 papers), Chromosomal and Genetic Variations (2 papers), CRISPR and Genetic Engineering (2 papers), Coastal wetland ecosystem dynamics (1 paper), Cancer Genomics and Diagnostics (1 paper), Evolution and Genetic Dynamics (1 paper) and Peatlands and Wetlands Ecology (1 paper). The work is most often cited by research in Cell Biology (110 citations), Genetics (175 citations), Molecular Biology (347 citations), Aging (9 citations) and Cancer Research (70 citations). Aaron Noll has collaborated with scholars based in United States and Canada. Frequent co-authors include Anoja Perera, Kendra Walton, Karen Staehling‐Hampton, Norman Pavelka, Chris Seidel, Giulia Rancati, Brian Fleharty, Rong Li, Rhonda Trimble and Justin P. Blumenstiel. Their work appears in journals such as npj Genomic Medicine, Journal of Biomolecular Techniques JBT, G3 Genes Genomes Genetics, Genetics and Cell.

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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