Michelle E. Gray

417 citations
6 papers · 339 · h-index 5

Impact in

Papers in

    • Cancer-related gene regulation 2
    • Wnt/β-catenin signaling in development and cancer 2
    • Skin and Cellular Biology Research 2
    • Zebrafish Biomedical Research Applications 1

Michelle E. Gray

6 papers receiving 332 citations

Peers

Michelle E. Gray
Comparison fields: 5 of 72
  • Infectious Diseases 134
  • Developmental Neuroscience 22
  • Cell Biology 82
  • General Health Professions 83
  • Virology 15
Replace Kazumasa Kamei with:
Kazumasa Kamei Japan
Femke A.E. Lambers Netherlands
David K. Wilcox United States
David R. Wessner United States
Jessie Clippard United States
M. Estenoz Italy
Kristin A. Moore United States
Heather K. Beasley United States
Jennifer Daily United States
Mayuri V. Panditrao United States
Michelle E. Gray relative to Kazumasa Kamei Japan Kazumasa Kamei's profile →
Citations per field
00.5×8.3×
Kazumasa Kamei · 1×
Citations per year

Countries citing papers authored by Michelle E. Gray

Since Specialization
Citations

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

Fields of papers citing papers by Michelle E. Gray

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michelle E. Gray. 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 Michelle E. Gray. The network helps show where Michelle E. Gray may publish in the future.

Co-authors

The 14 scholars most cited alongside Michelle E. Gray, 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 Michelle E. Gray Line = papers co-authored together Michelle E. Gray links everyone, so they are left out of the graph.

All Works

About Michelle E. Gray

Michelle E. Gray is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Developmental Neuroscience and Electrical and Electronic Engineering, having authored 6 papers that have together received 339 indexed citations. Recurring topics across this work include Neurogenesis and neuroplasticity mechanisms (2 papers), Cancer-related gene regulation (2 papers), Wnt/β-catenin signaling in development and cancer (2 papers), Skin and Cellular Biology Research (2 papers), Zebrafish Biomedical Research Applications (1 paper), Axon Guidance and Neuronal Signaling (1 paper), Metalloenzymes and iron-sulfur proteins (1 paper) and Advanced battery technologies research (1 paper). The work is most often cited by research in Infectious Diseases (134 citations), Developmental Neuroscience (22 citations), Cell Biology (82 citations), General Health Professions (83 citations) and Virology (15 citations). Michelle E. Gray has collaborated with scholars based in United States. Frequent co-authors include David Rompa, Jeffrey A. Kelly, Raymond G. Hoffmann, Christine E. Beattie, Sharon L. Amacher, Cecilia B. Moens, Judith S Eisen, Marcos Sotomayor, Joseph R. Fetcho and Stefanie Otto. Their work appears in journals such as PLoS Biology, AIDS, ACS Catalysis, Journal of Neuroscience and Developmental Biology.

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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