Jayme Johnson

414 citations
7 papers · 324 · h-index 5

Impact in

  • Cell Biology top 10%
    • Cellular transport and secretion
    • Microtubule and mitosis dynamics
    • Cellular Mechanics and Interactions
    • Fungal and yeast genetics research
    • Protein Kinase Regulation and GTPase Signaling
    • Gene Regulatory Network Analysis
    • Developmental Biology and Gene Regulation

Papers in

Jayme Johnson

6 papers receiving 322 citations

Peers

Jayme Johnson
Comparison fields: 5 of 42
  • Cell Biology 120
  • Molecular Biology 229
  • Physical Therapy, Sports Therapy and Rehabilitation 10
  • Occupational Therapy 6
  • Modeling and Simulation 4
Replace Andrzej Grębecki with:
Andrzej Grębecki Poland
Julia Uraji Italy
Jian-geng Chiou United States
Maitreyi E. Das United States
Motoko Iwashita United States
Charles F. Lang United States
Shulamit Cidon Israel
Joaquim Sainhas Portugal
Akinori Kawamura Japan
Weihan Li United States
Jayme Johnson relative to Andrzej Grębecki Poland Andrzej Grębecki's profile →
Citations per field
00.5×5×10×13×
Andrzej Grębecki · 1×
Citations per year

Countries citing papers authored by Jayme Johnson

Since Specialization
Citations

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

Fields of papers citing papers by Jayme Johnson

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 8 scholars most cited alongside Jayme Johnson, 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 Jayme Johnson Line = papers co-authored together Jayme Johnson links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown

About Jayme Johnson

Jayme Johnson is a scholar working on Cell Biology, Applied Psychology, Physical Therapy, Sports Therapy and Rehabilitation, Occupational Therapy and Public Administration, having authored 7 papers that have together received 324 indexed citations. Recurring topics across this work include Fungal and yeast genetics research (3 papers), Protein Kinase Regulation and GTPase Signaling (2 papers), Behavioral Health and Interventions (2 papers), Balance, Gait, and Falls Prevention (2 papers), Cellular Mechanics and Interactions (2 papers), Assistive Technology in Communication and Mobility (2 papers), Cellular transport and secretion (1 paper) and Developmental Biology and Gene Regulation (1 paper). The work is most often cited by research in Cell Biology (120 citations), Molecular Biology (229 citations), Physical Therapy, Sports Therapy and Rehabilitation (10 citations), Occupational Therapy (6 citations) and Modeling and Simulation (4 citations). Jayme Johnson has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Daniel J. Lew, Meng Jin, Audrey S. Howell, Trevin R. Zyla, Koji Saito, Lukasz Kozubowski, Janet L. Poole and Melissa Winkle. Their work appears in journals such as Current Biology, Molecular Biology of the Cell, Policing A Journal of Policy and Practice, Current Opinion in Genetics & Development and Physical & Occupational Therapy In Geriatrics.

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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