Quentin Verron

459 citations
6 papers · 311 · h-index 5

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • IL-33, ST2, and ILC Pathways
    • CAR-T cell therapy research
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cell Image Analysis Techniques 3
    • T-cell and B-cell Immunology 3
    • Immune Cell Function and Interaction 3

Quentin Verron

6 papers receiving 307 citations

Peers

Quentin Verron
Comparison fields: 5 of 65
  • Immunology 238
  • Oncology 148
  • Biophysics 14
  • Virology 8
  • Hematology 15
Replace Hanna van Ooijen with:
Hanna van Ooijen Sweden
Veronica Zanon Italy
Hiroshi Ichise Japan
Saumya Maru United States
Hugo Bottois France
Andrew Trimby United Kingdom
Elin Forslund Sweden
Zachary J. Gerbec United States
Allison B. Powell United States
Julie Bonnereau France
Quentin Verron relative to Hanna van Ooijen Sweden Hanna van Ooijen's profile →
Citations per field
00.5×1.6×
Hanna van Ooijen · 1×
Citations per year

Countries citing papers authored by Quentin Verron

Since Specialization
Citations

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

Fields of papers citing papers by Quentin Verron

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

6 of 6 papers shown
#Work
1 2019259
2 202217
3 202112
4 202412
5 202310
6 20251

About Quentin Verron

Quentin Verron is a scholar working on Biophysics, Immunology, Molecular Biology, Biomedical Engineering and Oncology, having authored 6 papers that have together received 311 indexed citations. Recurring topics across this work include Cell Image Analysis Techniques (3 papers), T-cell and B-cell Immunology (3 papers), Immune Cell Function and Interaction (3 papers), Single-cell and spatial transcriptomics (2 papers), 3D Printing in Biomedical Research (2 papers), CAR-T cell therapy research (1 paper), Cytomegalovirus and herpesvirus research (1 paper) and Neuroinflammation and Neurodegeneration Mechanisms (1 paper). The work is most often cited by research in Immunology (238 citations), Oncology (148 citations), Biophysics (14 citations), Virology (8 citations) and Hematology (15 citations). Quentin Verron has collaborated with scholars based in Sweden, Germany and Australia. Frequent co-authors include Björn Önfelt, Niklas Sandström, Hanna van Ooijen, Clarissa Liesche, Joël Beaudouin, Frank Fasbender, Maren Claus, Carsten Watzl, Doris Urlaub and Roland Eils. Their work appears in journals such as Cell Reports Methods, Nature Methods, The Journal of Experimental Medicine, Science Signaling and Nature Communications.

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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