Rick Stanton

419 citations
5 papers · 38 · h-index 4

Impact in

    • Cell Image Analysis Techniques
    • Advanced Fluorescence Microscopy Techniques
    • Single-cell and spatial transcriptomics
    • Gene expression and cancer classification

Papers in

    • Single-cell and spatial transcriptomics 4
    • Gene Regulatory Network Analysis 1
    • Immune Cell Function and Interaction 3
    • T-cell and B-cell Immunology 2
    • Immunotherapy and Immune Responses 1

Rick Stanton

5 papers receiving 38 citations

Peers

Rick Stanton
Comparison fields: 5 of 26
  • Biophysics 10
  • Molecular Biology 26
  • Immunology 7
  • Cancer Research 4
  • Oncology 7
Replace Marco Varrone with:
Marco Varrone Switzerland
Magalie Feyeux France
Michael Borja United States
Russell Kunes United States
Mingxia Shi China
Kyle Awayan United States
Adam Kagel United States
Rony Chanoch-Myers Israel
Prasanna Channathodiyil United Kingdom
Emily Stephenson United Kingdom
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Citations per field
00.5×1.5×
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Citations per year

Countries citing papers authored by Rick Stanton

Since Specialization
Citations

This map shows the geographic impact of Rick Stanton'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 Rick Stanton with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rick Stanton more than expected).

Fields of papers citing papers by Rick Stanton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Rick Stanton. 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 Rick Stanton. The network helps show where Rick Stanton may publish in the future.

Co-authors

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

All Works

5 of 5 papers shown
#Work
1 201515
2 201713
3 20195
4 20154
5 20131

About Rick Stanton

Rick Stanton is a scholar working on Molecular Biology, Immunology, Artificial Intelligence, Biophysics and Biomedical Engineering, having authored 5 papers that have together received 38 indexed citations. Recurring topics across this work include Single-cell and spatial transcriptomics (4 papers), Immune Cell Function and Interaction (3 papers), T-cell and B-cell Immunology (2 papers), Data Stream Mining Techniques (1 paper), Cell Image Analysis Techniques (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Gene Regulatory Network Analysis (1 paper) and Immunotherapy and Immune Responses (1 paper). The work is most often cited by research in Biophysics (10 citations), Molecular Biology (26 citations), Immunology (7 citations), Cancer Research (4 citations) and Oncology (7 citations). Rick Stanton has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Richard H. Scheuermann, Qian Yu, Mengya Liu, Chiaowen Joyce Hsiao, Monnie McGee, Hema Singh, Lisa Seitz, Cécile Gouttefangeas, P. Anoop Chandran and Natasja Wulff Pedersen. Their work appears in journals such as The Journal of Immunology, Cancer Immunology Research, Frontiers in Immunology and Cytometry Part A.

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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