Michael E. Vinyard

683 citations
11 papers · 439 · h-index 8

Impact in

    • Single-cell and spatial transcriptomics
    • Genomics and Chromatin Dynamics
    • Epigenetics and DNA Methylation
    • CRISPR and Genetic Engineering
    • Protein Degradation and Inhibitors
    • Cancer-related gene regulation
    • Bioinformatics and Genomic Networks
    • Acute Myeloid Leukemia Research

Papers in

    • Multiple Myeloma Research and Treatments 2
    • Acute Myeloid Leukemia Research 1
    • Single-cell and spatial transcriptomics 5
    • Genomics and Chromatin Dynamics 2
    • Epigenetics and DNA Methylation 1
    • Protein Structure and Dynamics 1
    • Protein Degradation and Inhibitors 1
    • CRISPR and Genetic Engineering 1

Michael E. Vinyard

11 papers receiving 433 citations

Peers

Michael E. Vinyard
Comparison fields: 5 of 46
  • Molecular Biology 370
  • Hematology 23
  • Health Informatics 4
  • Computational Mathematics 1
  • Human-Computer Interaction 5
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Duc Tran United States
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Helena Andrés-Terré United Kingdom
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Citations per field
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Citations per year

Countries citing papers authored by Michael E. Vinyard

Since Specialization
Citations

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

Fields of papers citing papers by Michael E. Vinyard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

11 of 11 papers shown
#Work
1 2019229
2 201982
3 202341
4 202117
5 202516
6 202115
7 202415
8 202313
9 20255
10 20254
11 20222

About Michael E. Vinyard

Michael E. Vinyard is a scholar working on Hematology, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 11 papers that have together received 439 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Genomics and Chromatin Dynamics (2 papers), Multiple Myeloma Research and Treatments (2 papers), Epigenetics and DNA Methylation (1 paper), Protein Structure and Dynamics (1 paper), Protein Degradation and Inhibitors (1 paper), Acute Myeloid Leukemia Research (1 paper) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Molecular Biology (370 citations), Hematology (23 citations), Health Informatics (4 citations), Computational Mathematics (1 citation) and Human-Computer Interaction (5 citations). Michael E. Vinyard has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Luca Pinello, Huidong Chen, Miguel Angel Andrade-Navarro, Sara P. Garcia, Tommaso Andreani, Jason Daniel Buenrostro, Caleb A. Lareau, Kendell Clement, Adam K. Lerer and Amanda L. Waterbury. Their work appears in journals such as Nature Chemical Biology, Blood, Nature Methods, Molecular Cell and Journal of the American Chemical Society.

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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