Dylan Cable

2.0k citations
6 papers · 719 indexed · 1 hit paper · h-index 5

Impact in

Papers in

    • Single-cell and spatial transcriptomics 5
    • interferon and immune responses 1
    • Neutrophil, Myeloperoxidase and Oxidative Mechanisms 1

Dylan Cable

6 papers receiving 713 citations

Hit Papers

Robust decomposition of cell type mixtures in spatial transcriptomics 2021 · 565 citations
5650+1+3Years since publication100200300400500

Peers

Dylan Cable
Comparison fields: 5 of 70
  • Biophysics 112
  • Immunology 181
  • Molecular Biology 576
  • Cancer Research 100
  • Neurology 49
Replace S. Tansu Bagdatli with:
S. Tansu Bagdatli United States
Amer-Denis Akkad United States
Stephen J. Fleming United States
Helena Storvall Sweden
Anna Cuomo Australia
Petra Kukanja Sweden
Marek Bartošovič Sweden
Tsukasa Kouno Japan
Cyril Esnault France
Dominik C. Kaczorowski Australia
Dylan Cable relative to S. Tansu Bagdatli United States S. Tansu Bagdatli's profile →
Citations per field
00.5×1.5×2.3×
S. Tansu Bagdatli · 1×
Citations per year

Countries citing papers authored by Dylan Cable

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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 23 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.

Border = papers with Dylan Cable Line = papers co-authored together Dylan Cable links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown

About Dylan Cable

Dylan Cable is a scholar working on Molecular Biology, Immunology, Cognitive Neuroscience, Neurology and Biophysics, having authored 6 papers that have together received 719 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (5 papers), Visual perception and processing mechanisms (1 paper), interferon and immune responses (1 paper), Cell Image Analysis Techniques (1 paper), Neuroinflammation and Neurodegeneration Mechanisms (1 paper), Cancer-related molecular mechanisms research (1 paper), Neutrophil, Myeloperoxidase and Oxidative Mechanisms (1 paper) and Statistical Methods and Inference (1 paper). The work is most often cited by research in Biophysics (112 citations), Immunology (181 citations), Molecular Biology (576 citations), Cancer Research (100 citations) and Neurology (49 citations). Dylan Cable has collaborated with scholars based in United States. Frequent co-authors include Fei Chen, Evan Murray, Evan Z. Macosko, Rafael A. Irizarry, Luli S. Zou, Aleksandrina Goeva, Justin L. Gardner, Taosheng Liu, Haiqi Chen and Vignesh Shanmugam. Their work appears in journals such as Genome biology, Nature, Nature Methods, 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.

Explore authors with similar magnitude of impact