Matthieu Martinet

1.0k citations
14 papers · 320 · h-index 6

Impact in

    • Pancreatic and Hepatic Oncology Research
    • Cancer Cells and Metastasis
    • Cancer Immunotherapy and Biomarkers
    • Cancer, Hypoxia, and Metabolism
    • Cancer Genomics and Diagnostics

Papers in

Matthieu Martinet

13 papers receiving 318 citations

Peers

Matthieu Martinet
Comparison fields: 5 of 51
  • Oncology 203
  • Cancer Research 79
  • Immunology 74
  • Molecular Biology 109
  • Psychiatry and Mental health 24
Replace Eunice Kim with:
Eunice Kim United States
Elizabeth C. Halvorsen Canada
Gifty Dominah United States
Okito Hashimoto Japan
Tereza Andreou United Kingdom
Roland M. Huber Switzerland
Patricia Fernández‐Nogueira Spain
Neibla Priego Spain
Benjamin Ducarouge France
Bettina Seifert Switzerland
Matthieu Martinet relative to Eunice Kim United States Eunice Kim's profile →
Citations per field
00.5×2.6×
Eunice Kim · 1×
Citations per year

Countries citing papers authored by Matthieu Martinet

Since Specialization
Citations

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

Fields of papers citing papers by Matthieu Martinet

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

14 of 14 papers shown
#Work
1 2018219
2 202226
3 201626
4 202214
5 202214
6 20248
7 20224
8 20143
9 20112
10 20231
11 20121
12 20181
13 20201
14 20250

About Matthieu Martinet

Matthieu Martinet is a scholar working on Molecular Biology, Physiology, Cancer Research, Psychiatry and Mental health and Cellular and Molecular Neuroscience, having authored 14 papers that have together received 320 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers), Dementia and Cognitive Impairment Research (3 papers), Cancer Genomics and Diagnostics (2 papers), Neuroinflammation and Neurodegeneration Mechanisms (2 papers), TGF-β signaling in diseases (2 papers), Biochemical Analysis and Sensing Techniques (2 papers) and Olfactory and Sensory Function Studies (2 papers). The work is most often cited by research in Oncology (203 citations), Cancer Research (79 citations), Immunology (74 citations), Molecular Biology (109 citations) and Psychiatry and Mental health (24 citations). Matthieu Martinet has collaborated with scholars based in France, United Kingdom and Sweden. Frequent co-authors include Annemilaï Tijeras‐Raballand, Cindy Neuzillet, Jörg Kleeff, Pascal Hammel, Jeremy S. Wilson, Anguraj Sadanandam, Chanthirika Ragulan, Marie Tosolini, Valérie Paradis and Hemant M. Kocher. Their work appears in journals such as Cancer Research, Alzheimer s Research & Therapy, Alzheimer s & Dementia, Molecular Cancer Therapeutics and The Journals of Gerontology Series 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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