Maxime Brunet

1.1k citations
12 papers · 255 · h-index 5

Impact in

    • Immune cells in cancer
    • Immunotherapy and Immune Responses
    • Immune Cell Function and Interaction
    • Cancer Immunotherapy and Biomarkers

Papers in

    • Cancer Immunotherapy and Biomarkers 7
    • Lung Cancer Research Studies 3
    • Immunotherapy and Immune Responses 3
    • Immune Cell Function and Interaction 2
    • Immune cells in cancer 2

Maxime Brunet

11 papers receiving 255 citations

Peers

Maxime Brunet
Comparison fields: 5 of 32
  • Immunology 107
  • Oncology 123
  • Oral Surgery 31
  • Cancer Research 27
  • Pulmonary and Respiratory Medicine 41
Replace Jeffery Moyer with:
Jeffery Moyer United States
Christoph Baran Germany
Monika Šedivcová Czechia
Robert Šeparović Croatia
Xiaoling Song China
Atsushi Kyan Japan
Qilin Huai China
Mara Epstein United States
R. Dummer Switzerland
Sei Morinaga Japan
Maxime Brunet relative to Jeffery Moyer United States Jeffery Moyer's profile →
Citations per field
00.5×12.3×
Jeffery Moyer · 1×
Citations per year

Countries citing papers authored by Maxime Brunet

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Brunet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2022110
2 202356
3 201934
4 202524
5 202517
6 20243
7 20223
8 20232
9 20242
10 20222
11 20232
12 20240

About Maxime Brunet

Maxime Brunet is a scholar working on Oncology, Immunology, Pulmonary and Respiratory Medicine, Pathology and Forensic Medicine and Rheumatology, having authored 12 papers that have together received 255 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (7 papers), Lung Cancer Research Studies (3 papers), Immunotherapy and Immune Responses (3 papers), Lymphoma Diagnosis and Treatment (2 papers), Immune Cell Function and Interaction (2 papers), Immune cells in cancer (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper) and Ferroptosis and cancer prognosis (1 paper). The work is most often cited by research in Immunology (107 citations), Oncology (123 citations), Oral Surgery (31 citations), Cancer Research (27 citations) and Pulmonary and Respiratory Medicine (41 citations). Maxime Brunet has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Antoîne Italiano, Alban Bessede, Jean‐Philippe Guégan, Emmanuel Khalifa, Christophe Rey, François Le Loarer, Jean‐Yves Scoazec, Isabelle Soubeyran, Sylvestre Le Moulec and Fabrice Barlési. Their work appears in journals such as Cancer Research, Journal of Clinical Oncology, Journal for ImmunoTherapy of Cancer, Frontiers in Oncology and Med.

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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