Dylan Cable
Impact in
- Biophysics top 2%
- Cell Image Analysis Techniques
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- Single-cell and spatial transcriptomics
- Gene expression and cancer classification
- Molecular Biology Techniques and Applications
Papers in
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- Single-cell and spatial transcriptomics 6
- Gene expression and cancer classification 1
- Gene Regulatory Network Analysis 1
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- Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1
- interferon and immune responses 1
- Co-authors
- Fei Chen (6 shared papers)Evan Z. Macosko (4 shared papers)Evan Murray (4 shared papers)Rafael A. Irizarry (4 shared papers)Luli S. Zou (3 shared papers)Aleksandrina Goeva (1 shared paper)Justin L. Gardner (1 shared paper)Taosheng Liu (1 shared paper)
- Journals
- Nature Methods (1 paper)Nature Biotechnology (1 paper)Genome biology (1 paper)The Journal of Immunology (1 paper)Journal of Neuroscience (1 paper)
- Partner nations
- United States
In The Last Decade
Dylan Cable
6 papers receiving 840 citations
Dylan Cable's Hit Papers
Peers
Comparison fields: 5 of 68
- Biophysics 115
- Molecular Biology 628
- Immunology 165
- Neurology 51
- Cancer Research 87
Countries citing papers authored by Dylan Cable
This map shows the geographic impact of Dylan Cable'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 Dylan Cable with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dylan Cable more than expected).
Fields of papers citing papers by Dylan Cable
This network shows the impact of papers produced by Dylan Cable. 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 Dylan Cable. The network helps show where Dylan Cable may publish in the future.
Co-authors
The 25 scholars most cited alongside Dylan Cable, 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 | Robust decomposition of cell type mixtures in spatial transcriptomics Hit paper breakdown → | 2021 | 652 |
| 2 | 2022 | 83 | |
| 3 | 2023 | 74 | |
| 4 | 2017 | 28 | |
| 5 | 2024 | 7 | |
| 6 | 2022 | 1 | |
| 7 | 2025 | 0 |
About Dylan Cable
Dylan Cable is a scholar working on Molecular Biology, Immunology, Cognitive Neuroscience, Neurology and Biophysics, having authored 7 papers that have together received 845 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (6 papers), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper), Neurogenesis and neuroplasticity mechanisms (1 paper), Cancer-related molecular mechanisms research (1 paper), interferon and immune responses (1 paper), Gene expression and cancer classification (1 paper), Gene Regulatory Network Analysis (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Biophysics (115 citations), Molecular Biology (628 citations), Immunology (165 citations), Neurology (51 citations) and Cancer Research (87 citations). Dylan Cable has collaborated with scholars based in United States. Frequent co-authors include Fei Chen, Evan Z. Macosko, Evan Murray, Rafael A. Irizarry, Luli S. Zou, Aleksandrina Goeva, Justin L. Gardner, Taosheng Liu, Vignesh Shanmugam and Haiqi Chen. Their work appears in journals such as Nature Methods, Nature Biotechnology, Genome biology, The Journal of Immunology and Journal of Neuroscience.
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.