Rick Stanton

424 citations
5 papers · 41 · h-index 4

Impact in

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

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
    • Immune cells in cancer 1

Rick Stanton

5 papers receiving 40 citations

Peers

Rick Stanton
Comparison fields: 5 of 23
  • Biophysics 9
  • Molecular Biology 25
  • Oncology 9
  • Immunology 7
  • Information Systems and Management 2
Replace Russell Kunes with:
Russell Kunes United States
Anne-Rachel Krostag United States
Magalie Feyeux France
Oliver Grimm Germany
Takushi Togashi Japan
Marco Varrone Switzerland
Jan-Christian Hütter United States
Hiromi Sato United States
Minyue Chen United States
Eoghan J. Mulholland United Kingdom
Rick Stanton relative to Russell Kunes United States Russell Kunes's profile →
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 201714
3 20196
4 20155
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 41 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), Immunotherapy and Immune Responses (1 paper), Gene Regulatory Network Analysis (1 paper), Microfluidic and Bio-sensing Technologies (1 paper), Immune cells in cancer (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Biophysics (9 citations), Molecular Biology (25 citations), Oncology (9 citations), Immunology (7 citations) and Information Systems and Management (2 citations). Rick Stanton has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Qian Yu, Richard H. Scheuermann, Mengya Liu, Monnie McGee, Chiaowen Joyce Hsiao, Lisa Seitz, Cécile Gouttefangeas, Xiaoning Zhao, Nigel P.C. Walker and Jonathan A. Rebhahn. Their work appears in journals such as Frontiers in Immunology, Cytometry Part A, The Journal of Immunology and Cancer Immunology Research.

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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