Michael E. Vinyard

838 citations
11 papers · 409 · h-index 8

Impact in

  • Biophysics top 10%
    • Cell Image Analysis Techniques
    • Single-cell and spatial transcriptomics
    • Epigenetics and DNA Methylation
    • Genomics and Chromatin Dynamics
    • Gene expression and cancer classification
    • Gene Regulatory Network Analysis
    • CRISPR and Genetic Engineering

Papers in

    • Cell Image Analysis Techniques 4
    • Multiple Myeloma Research and Treatments 2

Michael E. Vinyard

11 papers receiving 406 citations

Peers

Michael E. Vinyard
Comparison fields: 5 of 62
  • Biophysics 47
  • Molecular Biology 353
  • Cancer Research 52
  • Immunology 28
  • Hematology 14
Replace Nil Üresin with:
Nil Üresin Denmark
Hussein Mohsen United States
Nika Iremadze United States
Kristof A. Torkenczy United States
Lenka Stixová Czechia
Lauren G. Mascibroda United States
Robert I. Shelansky United States
Seungbyn Baek South Korea
Christopher J. Cote United States
Elisa Basmaci Sweden
Michael E. Vinyard relative to Nil Üresin Denmark Nil Üresin's profile →
Citations per field
00.5×1.5×2×2.3×
Nil Üresin · 1×
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 2019222
2 201979
3 202335
4 202117
5 202115
6 202415
7 20239
8 20258
9 20254
10 20253
11 20222

About Michael E. Vinyard

Michael E. Vinyard is a scholar working on Biophysics, Hematology, Molecular Biology, Cancer Research and Oncology, having authored 11 papers that have together received 409 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (4 papers), Gene Regulatory Network Analysis (3 papers), Multiple Myeloma Research and Treatments (2 papers), Cancer Genomics and Diagnostics (2 papers), CRISPR and Genetic Engineering (2 papers), Genomics and Chromatin Dynamics (2 papers) and Epigenetics and DNA Methylation (2 papers). The work is most often cited by research in Biophysics (47 citations), Molecular Biology (353 citations), Cancer Research (52 citations), Immunology (28 citations) and Hematology (14 citations). Michael E. Vinyard has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include Huidong Chen, Miguel Angel Andrade-Navarro, Caleb A. Lareau, Tommaso Andreani, Kendell Clement, Jason Daniel Buenrostro, Sara P. Garcia, Luca Pinello, Allyson M. Freedy and Amanda L. Waterbury. Their work appears in journals such as Journal of the American Chemical Society, Frontiers in Genetics, Nature Chemical Biology, Current Opinion in Systems Biology and Cell Genomics.

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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