Michael Vinyard
Impact in
- Biophysics top 10%
- Cell Image Analysis Techniques
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- 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
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- Single-cell and spatial transcriptomics 5
- Genomics and Chromatin Dynamics 2
- Epigenetics and DNA Methylation 2
- Gene Regulatory Network Analysis 2
- CRISPR and Genetic Engineering 2
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- Cell Image Analysis Techniques 3
- Advanced Fluorescence Microscopy Techniques 1
- Co-authors
- Huidong Chen (4 shared papers)Kendell Clement (1 shared paper)Tommaso Andreani (1 shared paper)Miguel A. Andrade‐Navarro (1 shared paper)Caleb A. Lareau (1 shared paper)Sara P. Garcia (1 shared paper)Jason D. Buenrostro (1 shared paper)Luca Pinello (5 shared papers)
- Journals
- Nature Methods (1 paper)Current Opinion in Systems Biology (1 paper)Molecular Cell (1 paper)Genome biology (1 paper)Nature Chemical Biology (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Michael Vinyard
9 papers receiving 367 citations
Peers
Comparison fields: 5 of 61
- Biophysics 44
- Molecular Biology 329
- Cancer Research 50
- Immunology 27
- Hematology 11
Countries citing papers authored by Michael Vinyard
This map shows the geographic impact of Michael 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 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 Vinyard more than expected).
Fields of papers citing papers by Michael Vinyard
This network shows the impact of papers produced by Michael 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 Vinyard. The network helps show where Michael Vinyard may publish in the future.
Co-authors
The 25 scholars most cited alongside Michael Vinyard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2019 | 212 | |
| 2 | 2019 | 72 | |
| 3 | 2023 | 32 | |
| 4 | 2021 | 17 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 11 | |
| 7 | 2023 | 8 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 1 |
About Michael Vinyard
Michael Vinyard is a scholar working on Molecular Biology, Biophysics, Hematology, Infectious Diseases and Organic Chemistry, having authored 9 papers that have together received 369 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Cell Image Analysis Techniques (3 papers), Genomics and Chromatin Dynamics (2 papers), Epigenetics and DNA Methylation (2 papers), Gene Regulatory Network Analysis (2 papers), CRISPR and Genetic Engineering (2 papers), Acute Myeloid Leukemia Research (1 paper) and Advanced Fluorescence Microscopy Techniques (1 paper). The work is most often cited by research in Biophysics (44 citations), Molecular Biology (329 citations), Cancer Research (50 citations), Immunology (27 citations) and Hematology (11 citations). Michael Vinyard has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Huidong Chen, Kendell Clement, Tommaso Andreani, Miguel A. Andrade‐Navarro, Caleb A. Lareau, Sara P. Garcia, Jason D. Buenrostro, Luca Pinello, Eugene E. Kwan and Adam Lerer. Their work appears in journals such as Nature Methods, Current Opinion in Systems Biology, Molecular Cell, Genome biology and Nature Chemical 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.