David M. Wiley

411 citations
5 papers · 319 · h-index 5

Impact in

    • Zebrafish Biomedical Research Applications
    • Hippo pathway signaling and YAP/TAZ
    • Angiogenesis and VEGF in Cancer
    • Congenital heart defects research
    • TGF-β signaling in diseases
    • Kruppel-like factors research

Papers in

    • Angiogenesis and VEGF in Cancer 4
    • Kruppel-like factors research 2
    • Congenital heart defects research 2
    • Connective Tissue Growth Factor Research 1
    • TGF-β signaling in diseases 1
    • Zebrafish Biomedical Research Applications 2

David M. Wiley

5 papers receiving 312 citations

Peers

David M. Wiley
Comparison fields: 5 of 63
  • Cell Biology 100
  • Molecular Biology 215
  • Cancer Research 36
  • Immunology and Allergy 14
  • Modeling and Simulation 7
Replace Pedro Barbacena with:
Pedro Barbacena Portugal
Gefei Zeng United States
Sarah M. Taylor Canada
Irene García-Gónzalez Spain
Macarena Fernández-Chacón Spain
Frank Berkenfeld Germany
Ganesh Parameshwar Bhat Italy
Elke Maas Belgium
Jorge Carretero-Ortega Mexico
Giulia Tarticchio Italy
David M. Wiley relative to Pedro Barbacena Portugal Pedro Barbacena's profile →
Citations per field
00.5×5.1×
Pedro Barbacena · 1×
Citations per year

Countries citing papers authored by David M. Wiley

Since Specialization
Citations

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

Fields of papers citing papers by David M. Wiley

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David M. Wiley. 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 David M. Wiley. The network helps show where David M. Wiley may publish in the future.

Co-authors

The 9 scholars most cited alongside David M. Wiley, 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 David M. Wiley Line = papers co-authored together David M. Wiley links everyone, so they are left out of the graph.

All Works

About David M. Wiley

David M. Wiley is a scholar working on Molecular Biology, Cell Biology, Cellular and Molecular Neuroscience, Immunology and Allergy and Infectious Diseases, having authored 5 papers that have together received 319 indexed citations. Recurring topics across this work include Angiogenesis and VEGF in Cancer (4 papers), Zebrafish Biomedical Research Applications (2 papers), Kruppel-like factors research (2 papers), Congenital heart defects research (2 papers), Connective Tissue Growth Factor Research (1 paper), Cell Adhesion Molecules Research (1 paper), Axon Guidance and Neuronal Signaling (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Cell Biology (100 citations), Molecular Biology (215 citations), Cancer Research (36 citations), Immunology and Allergy (14 citations) and Modeling and Simulation (7 citations). David M. Wiley has collaborated with scholars based in United States, Australia and Russia. Frequent co-authors include Victoria L. Bautch, John C. Chappell, Jijun Hao, Jun‐Dae Kim, Charles C. Hong, Suk‐Won Jin, Zhongming Chen, Daniel T. Sweet and Ellie Tzima. Their work appears in journals such as Seminars in Cell and Developmental Biology, Cells Tissues Organs, Nature Cell Biology and Blood.

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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