Kathleen Ayers

1.5k citations
7 papers · 605 · h-index 5

Impact in

  • Aging top 5%
    • Cellular Mechanics and Interactions
    • Microtubule and mitosis dynamics

Papers in

    • Developmental Biology and Gene Regulation 3
    • Plant Reproductive Biology 2
    • Genetics, Bioinformatics, and Biomedical Research 1
    • Protist diversity and phylogeny 1
    • Genomics and Chromatin Dynamics 1
    • Neurobiology and Insect Physiology Research 2

Kathleen Ayers

6 papers receiving 600 citations

Peers

Kathleen Ayers
Comparison fields: 5 of 62
  • Aging 49
  • Cell Biology 216
  • Cellular and Molecular Neuroscience 131
  • Molecular Biology 435
  • Immunology 93
Replace Anna K. Allen with:
Anna K. Allen United States
Wenke Zhou China
Caroline Médioni France
Lynn Manseau United States
Maria Balakireva France
Justina Sanny United States
Christine Fyrberg United States
Chris B. Phelps United Kingdom
Paul N. Adler United States
Ferenc Jankovics Hungary
Kathleen Ayers relative to Anna K. Allen United States Anna K. Allen's profile →
Citations per field
00.5×1.5×
Anna K. Allen · 1×
Citations per year

Countries citing papers authored by Kathleen Ayers

Since Specialization
Citations

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

Fields of papers citing papers by Kathleen Ayers

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

7 of 7 papers shown
#Work
1 1992318
2 2006137
3 2014104
4 201432
5 202013
6 20071
7 20250

About Kathleen Ayers

Kathleen Ayers is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience, Cell Biology, Paleontology and Genetics, having authored 7 papers that have together received 605 indexed citations. Recurring topics across this work include Developmental Biology and Gene Regulation (3 papers), Neurobiology and Insect Physiology Research (2 papers), Plant Reproductive Biology (2 papers), Genetics, Bioinformatics, and Biomedical Research (1 paper), Hippo pathway signaling and YAP/TAZ (1 paper), Protist diversity and phylogeny (1 paper), Genomics and Chromatin Dynamics (1 paper) and Genetic and Clinical Aspects of Sex Determination and Chromosomal Abnormalities (1 paper). The work is most often cited by research in Aging (49 citations), Cell Biology (216 citations), Cellular and Molecular Neuroscience (131 citations), Molecular Biology (435 citations) and Immunology (93 citations). Kathleen Ayers has collaborated with scholars based in United States, Austria and Japan. Frequent co-authors include Lynn Cooley, Esther M. Verheyen, Andrew M. Hudson, Michael Buszczak, Lisa N. Petrella, Anthony Melillo, Shu Wang, Roger A. Hoskins, Stacy Mazzalupo and Norbert Perrimon. Their work appears in journals such as Developmental Cell, Cell, Developmental Biology, Molecular Biology and Evolution and Genetics.

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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