Ryan T. Davis

1.6k citations
6 papers · 893 · 1 hit paper · h-index 6

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 10%
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Single-cell and spatial transcriptomics 3
    • Cancer-related gene regulation 1
    • RNA Research and Splicing 1
    • Cancer Cells and Metastasis 4

Ryan T. Davis

6 papers receiving 889 citations

Ryan T. Davis's Hit Papers

Tumour heterogeneity and metastasis at single-cell resolution 2018 · 413 citations
4130+2+5Years since publication100200300400

Peers

Ryan T. Davis
Comparison fields: 5 of 78
  • Cancer Research 391
  • Oncology 365
  • Biophysics 50
  • Molecular Biology 591
  • Immunology 107
Replace Reuben Moncada with:
Reuben Moncada United States
Stefanie Tiede Switzerland
Philippe Lucarelli Luxembourg
Mahak Singhal Germany
Claus Langwieder Germany
Vanda Póvoa Portugal
Maria Tsiper United States
Tuyen T. Dang United States
Florian Uhlitz Germany
Victoria L. Bridgeman United Kingdom
Ryan T. Davis relative to Reuben Moncada United States Reuben Moncada's profile →
Citations per field
00.5×3.3×
Reuben Moncada · 1×
Citations per year

Countries citing papers authored by Ryan T. Davis

Since Specialization
Citations

This map shows the geographic impact of Ryan T. Davis'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 Ryan T. Davis with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan T. Davis more than expected).

Fields of papers citing papers by Ryan T. Davis

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ryan T. Davis. 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 Ryan T. Davis. The network helps show where Ryan T. Davis may publish in the future.

Co-authors

The 25 scholars most cited alongside Ryan T. Davis, 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 Ryan T. Davis Line = papers co-authored together Ryan T. Davis links everyone, so they are left out of the graph.

All Works

6 of 6 papers shown
#Work
1
Tumour heterogeneity and metastasis at single-cell resolution
Hit paper breakdown →
2018413
2 2018230
3 2020200
4 200428
5 201414
6 20218

About Ryan T. Davis

Ryan T. Davis is a scholar working on Molecular Biology, Oncology, Cancer Research, Surgery and Neurology, having authored 6 papers that have together received 893 indexed citations. Recurring topics across this work include Cancer Cells and Metastasis (4 papers), Single-cell and spatial transcriptomics (3 papers), Cancer Genomics and Diagnostics (3 papers), Cancer-related gene regulation (1 paper), RNA Research and Splicing (1 paper), Pain Mechanisms and Treatments (1 paper), Cancer Research and Treatments (1 paper) and Barrier Structure and Function Studies (1 paper). The work is most often cited by research in Cancer Research (391 citations), Oncology (365 citations), Biophysics (50 citations), Molecular Biology (591 citations) and Immunology (107 citations). Ryan T. Davis has collaborated with scholars based in United States and Saudi Arabia. Frequent co-authors include Devon A. Lawson, Zena Werb, Kai Kessenbrock, Nicholas Pervolarakis, Dennis Ma, Kerrigan Blake, Andrei Goga, Quy Nguyen, Jason R. Rock and Eric Jabart. Their work appears in journals such as Nature Cell Biology, Brain Research, Nature Communications, Journal of Zhejiang University SCIENCE B and Communications 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.

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