Carole Equeter

1.1k citations
2 papers · 914 · 1 hit paper · h-index 2

Impact in

  • Immunology top 5%
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immune cells in cancer
  • Oncology top 5%
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research
    • Cancer Cells and Metastasis

Papers in

    • Chronic Lymphocytic Leukemia Research 1
    • Immunotherapy and Immune Responses 1
    • Immune Cell Function and Interaction 1

Carole Equeter

2 papers receiving 905 citations

Carole Equeter's Hit Papers

CD4+ follicular helper T cell infiltration predicts breast cancer survival 2013 · 885 citations
8850+4+8Years since publication250500750

Peers

Carole Equeter
Comparison fields: 5 of 53
  • Immunology 491
  • Oncology 549
  • Cancer Research 100
  • Pulmonary and Respiratory Medicine 89
  • Pathology and Forensic Medicine 46
Replace Changping Wu with:
Changping Wu China
Yuka Inoue Japan
Daniel E Carvajal United States
Marnix Geukes Foppen Netherlands
Liberty Posada United States
Chang-Long Chen China
Annie T. Tasker Australia
Jia-Bin Lu China
Kate Sasser United States
Jinghui Cheng China
Carole Equeter relative to Changping Wu China Changping Wu's profile →
Citations per field
00.5×1.5×1.9×
Changping Wu · 1×
Citations per year

Countries citing papers authored by Carole Equeter

Since Specialization
Citations

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

Fields of papers citing papers by Carole Equeter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 5 scholars most cited alongside Carole Equeter, 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 Carole Equeter Line = papers co-authored together Carole Equeter links everyone, so they are left out of the graph.

All Works

2 of 2 papers shown

About Carole Equeter

Carole Equeter is a scholar working on Genetics, Immunology, Oncology, Insect Science and Renewable Energy, Sustainability and the Environment, having authored 2 papers that have together received 914 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (1 paper), Cancer Immunotherapy and Biomarkers (1 paper), Immune Cell Function and Interaction (1 paper) and Chronic Lymphocytic Leukemia Research (1 paper). The work is most often cited by research in Immunology (491 citations), Oncology (549 citations), Cancer Research (100 citations), Pulmonary and Respiratory Medicine (89 citations) and Pathology and Forensic Medicine (46 citations). Carole Equeter has collaborated with scholars based in Belgium, Cuba and United States. Frequent co-authors include Christine De Bruyn, Benjamin Haibe‐Kains, Philippe Martiat, Basile Stamatopoulos and Nathalie Meuleman. Their work appears in journals such as Journal of Clinical Investigation and Haematologica.

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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