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
- Epigenetics and DNA Methylation 3
- CRISPR and Genetic Engineering 2
- Gene Regulatory Network Analysis 2
- Genomics and Chromatin Dynamics 2
- Advanced biosensing and bioanalysis techniques 1
- RNA Research and Splicing 1
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- Cell Image Analysis Techniques 3
- Co-authors
- Luca Pinello (8 shared papers)Huidong Chen (4 shared papers)Caleb A. Lareau (1 shared paper)Tommaso Andreani (1 shared paper)Sara P. Garcia (1 shared paper)Miguel A. Andrade‐Navarro (1 shared paper)Jason D. Buenrostro (1 shared paper)Kendell Clement (1 shared paper)
- Journals
- Nature Methods (1 paper)Cell Genomics (1 paper)Journal of the American Chemical Society (1 paper)Frontiers in Genetics (1 paper)Nature Machine Intelligence (1 paper)
- Partner nations
- United StatesGermanyIsrael
In The Last Decade
Michael Vinyard
9 papers receiving 348 citations
Peers
Comparison fields: 5 of 60
- Biophysics 47
- Molecular Biology 316
- Cancer Research 58
- Immunology 28
- Hematology 12
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 | 203 | |
| 2 | 2019 | 70 | |
| 3 | 2023 | 26 | |
| 4 | 2021 | 16 | |
| 5 | 2024 | 13 | |
| 6 | 2021 | 10 | |
| 7 | 2023 | 8 | |
| 8 | 2025 | 3 | |
| 9 | 2025 | 1 |
About Michael Vinyard
Michael Vinyard is a scholar working on Molecular Biology, Biophysics, Hematology, Cancer Research and Infectious Diseases, having authored 9 papers that have together received 350 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Epigenetics and DNA Methylation (3 papers), Cell Image Analysis Techniques (3 papers), CRISPR and Genetic Engineering (2 papers), Gene Regulatory Network Analysis (2 papers), Genomics and Chromatin Dynamics (2 papers), Advanced biosensing and bioanalysis techniques (1 paper) and RNA Research and Splicing (1 paper). The work is most often cited by research in Biophysics (47 citations), Molecular Biology (316 citations), Cancer Research (58 citations), Immunology (28 citations) and Hematology (12 citations). Michael Vinyard has collaborated with scholars based in United States, Germany and Israel. Frequent co-authors include Luca Pinello, Huidong Chen, Caleb A. Lareau, Tommaso Andreani, Sara P. Garcia, Miguel A. Andrade‐Navarro, Jason D. Buenrostro, Kendell Clement, Allyson M. Freedy and Brian B. Liau. Their work appears in journals such as Nature Methods, Cell Genomics, Journal of the American Chemical Society, Frontiers in Genetics and Nature Machine Intelligence.
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.