Matthieu Martinet

1.0k total citations
14 papers, 320 citations indexed

About

Matthieu Martinet is a scholar working on Molecular Biology, Physiology and Cancer Research. According to data from OpenAlex, Matthieu Martinet has authored 14 papers receiving a total of 320 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 4 papers in Physiology and 4 papers in Cancer Research. Recurrent topics in Matthieu Martinet's work include Alzheimer's disease research and treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthieu Martinet is often cited by papers focused on Alzheimer's disease research and treatments (4 papers), Cancer, Hypoxia, and Metabolism (3 papers) and Dementia and Cognitive Impairment Research (3 papers). Matthieu Martinet collaborates with scholars based in France, United Kingdom and Sweden. Matthieu Martinet's co-authors include Annemilaï Tijeras‐Raballand, Cindy Neuzillet, Corinne Bousquet, Francesca Romana Delvecchio, Hemant M. Kocher, Minoti V. Apte, Jeremy S. Wilson, Valérie Paradis, Jérôme Cros and Yatish Patil and has published in prestigious journals such as Cancer Research, International Journal of Molecular Sciences and The Journals of Gerontology Series A.

In The Last Decade

Matthieu Martinet

13 papers receiving 318 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthieu Martinet France 6 203 109 79 74 37 14 320
Elizabeth C. Halvorsen Canada 9 222 1.1× 146 1.3× 55 0.7× 284 3.8× 29 0.8× 9 496
Jennifer Kleponis United States 6 220 1.1× 204 1.9× 66 0.8× 129 1.7× 19 0.5× 7 382
Eunice Kim United States 4 289 1.4× 86 0.8× 68 0.9× 137 1.9× 18 0.5× 8 415
Okito Hashimoto Japan 5 153 0.8× 114 1.0× 87 1.1× 106 1.4× 23 0.6× 8 346
Roland M. Huber Switzerland 9 67 0.3× 285 2.6× 78 1.0× 40 0.5× 33 0.9× 9 453
Diane Costanzo-Garvey United States 9 122 0.6× 118 1.1× 53 0.7× 80 1.1× 22 0.6× 12 283
Benjamin Ducarouge France 11 81 0.4× 175 1.6× 52 0.7× 30 0.4× 13 0.4× 15 294
Patricia Fernández‐Nogueira Spain 9 112 0.6× 183 1.7× 50 0.6× 42 0.6× 21 0.6× 13 357
Federica Zanardi Italy 7 97 0.5× 255 2.3× 74 0.9× 141 1.9× 11 0.3× 7 491
Bettina Seifert Switzerland 6 110 0.5× 113 1.0× 81 1.0× 18 0.2× 25 0.7× 7 294

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-authorship network of co-authors of Matthieu Martinet

This figure shows the co-authorship network connecting the top 25 collaborators of Matthieu Martinet. A scholar is included among the top collaborators of Matthieu Martinet based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthieu Martinet. Matthieu Martinet is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

14 of 14 papers shown
1.
Bouaziz-Amar, Élodie, Fidaa Ibrahim, Matthieu Martinet, et al.. (2025). Cerebrospinal fluid leptin in Alzheimer’s disease: relationship to plasma levels and to cerebrospinal amyloid. Clinical Chemistry and Laboratory Medicine (CCLM). 63(12). 2460–2467.
2.
Vrillon, Agathe, Julien Dumurgier, Sandrine Indart, et al.. (2024). Plasma neurofilament light chain as prognostic marker of cognitive decline in neurodegenerative diseases, a clinical setting study. Alzheimer s Research & Therapy. 16(1). 231–231. 8 indexed citations
3.
Vrillon, Agathe, François Mouton‐Liger, Matthieu Martinet, et al.. (2023). Plasma neuregulin 1 as a synaptic biomarker in Alzheimer’s disease. Alzheimer s & Dementia. 19(S2). 1 indexed citations
4.
Vrillon, Agathe, Élodie Bouaziz-Amar, François Mouton‐Liger, et al.. (2022). Plasma neurofilament light chain in memory clinic practice: Evidence from a real-life study. Neurobiology of Disease. 176. 105937–105937. 14 indexed citations
5.
Vrillon, Agathe, François Mouton‐Liger, Matthieu Martinet, et al.. (2022). Plasma neuregulin 1 as a synaptic biomarker in Alzheimer’s disease: a discovery cohort study. Alzheimer s Research & Therapy. 14(1). 71–71. 26 indexed citations
6.
Lilamand, Matthieu, Élodie Bouaziz-Amar, Julien Dumurgier, et al.. (2022). Plasma Leptin Is Associated With Amyloid CSF Biomarkers and Alzheimer’s Disease Diagnosis in Cognitively Impaired Patients. The Journals of Gerontology Series A. 78(4). 645–652. 14 indexed citations
7.
Lilamand, Matthieu, Agathe Vrillon, François Mouton‐Liger, et al.. (2022). Cerebrospinal Fluid Alpha-Synuclein Improves the Differentiation between Dementia with Lewy Bodies and Alzheimer’s Disease in Clinical Practice. International Journal of Molecular Sciences. 23(21). 13488–13488. 4 indexed citations
8.
Tijeras‐Raballand, Annemilaï, et al.. (2020). Abstract 5312: Imeglimin alone or in combination with sorafenib showed potent anti-tumor effect in human hepatocellular carcinoma: A new kid on the block for HCC treatment. Cancer Research. 80(16_Supplement). 5312–5312. 1 indexed citations
9.
Tijeras‐Raballand, Annemilaï, Christian Hobeika, Matthieu Martinet, et al.. (2018). Abstract 2944: TGF-β inhibitor galunisertib combined with antiangiogenic therapies showed antitumor effects in vitro and in vivo in hepatocellular carcinoma (HCC). Cancer Research. 78(13_Supplement). 2944–2944. 1 indexed citations
10.
Neuzillet, Cindy, Annemilaï Tijeras‐Raballand, Chanthirika Ragulan, et al.. (2018). Inter‐ and intra‐tumoural heterogeneity in cancer‐associated fibroblasts of human pancreatic ductal adenocarcinoma. The Journal of Pathology. 248(1). 51–65. 219 indexed citations
11.
Serova, Maria, Annemilaï Tijeras‐Raballand, Célia Dos Santos, et al.. (2016). Everolimus affects vasculogenic mimicry in renal carcinoma resistant to sunitinib. Oncotarget. 7(25). 38467–38486. 26 indexed citations
12.
Tijeras‐Raballand, Annemilaï, Célia Dos Santos, Maria Serova, et al.. (2014). Abstract 3000: Angiogenic recovery under chronic exposure to sunitinib is associated with vasculogenic mimicry in renal cell carcinoma. Cancer Research. 74(19_Supplement). 3000–3000. 3 indexed citations
13.
Astorgues‐Xerri, Lucile, Annemilaï Tijeras‐Raballand, María E. Riveiro, et al.. (2012). Abstract 1926: Antitumor and antiangiogenic effects of OTX-008, a novel calyx[4]arene, are mediated by galectin-1 inhibition in human tumor xenograft models. Cancer Research. 72(8_Supplement). 1926–1926. 1 indexed citations
14.
Serova, Maria, María E. Riveiro, Armand de Gramont, et al.. (2011). Abstract B175: TGF-β-RI kinase inhibitors LY2157299 and LY364947 decrease motility and invasion in hepatocarcinoma (HCC) cells developing resistance to VEGFR/PDGFR kinase inhibitors.. Molecular Cancer Therapeutics. 10(11_Supplement). B175–B175. 2 indexed citations

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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