Maxime Vallée

2.6k total citations
27 papers, 875 citations indexed

About

Maxime Vallée is a scholar working on Molecular Biology, Genetics and Cancer Research. According to data from OpenAlex, Maxime Vallée has authored 27 papers receiving a total of 875 indexed citations (citations by other indexed papers that have themselves been cited), including 18 papers in Molecular Biology, 13 papers in Genetics and 9 papers in Cancer Research. Recurrent topics in Maxime Vallée's work include BRCA gene mutations in cancer (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Rare Diseases (6 papers). Maxime Vallée is often cited by papers focused on BRCA gene mutations in cancer (8 papers), Cancer Genomics and Diagnostics (8 papers) and Genomics and Rare Diseases (6 papers). Maxime Vallée collaborates with scholars based in France, Canada and United States. Maxime Vallée's co-authors include Sean V. Tavtigian, Fergus J. Couch, Noralane M. Lindor, Álvaro N.A. Monteiro, Lucia Guidugli, Xianshu Wang, Arnaud Droit, Florence Le Calvez‐Kelm, Graham Byrnes and Geoffroy Durand and has published in prestigious journals such as PLoS ONE, Scientific Reports and Genetics.

In The Last Decade

Maxime Vallée

27 papers receiving 867 citations

Peers

Maxime Vallée
Pilar López‐Nieva Spain
Ngan Ching Cheng Australia
Naoko Kamimura Japan
Cynthia Rothblum‐Oviatt United States
Sebastiano Battaglia United States
Nico Lansu Netherlands
Olivia Corradin United States
Jill A. Fahrner United States
Rumana Bahar Japan
Avni Santani United States
Pilar López‐Nieva Spain
Maxime Vallée
Citations per year, relative to Maxime Vallée Maxime Vallée (= 1×) peers Pilar López‐Nieva

Countries citing papers authored by Maxime Vallée

Since Specialization
Citations

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

Fields of papers citing papers by Maxime Vallée

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Maxime Vallée

This figure shows the co-authorship network connecting the top 25 collaborators of Maxime Vallée. A scholar is included among the top collaborators of Maxime Vallée 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 Maxime Vallée. Maxime Vallée is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hodille, Elisabeth, Maxime Vallée, Julien Saison, et al.. (2024). Rapid resistance detection is reliable for prompt adaptation of isoniazid resistant tuberculosis management. Heliyon. 10(9). e29932–e29932. 2 indexed citations
2.
Pachéco, Yves, Dominique Valeyre, Thomas El Jammal, et al.. (2021). Autophagy and Mitophagy-Related Pathways at the Crossroads of Genetic Pathways Involved in Familial Sarcoidosis and Host-Pathogen Interactions Induced by Coronaviruses. Cells. 10(8). 1995–1995. 10 indexed citations
3.
Gelderblom, Hans, Albiruni Ryan Abdul Razak, Amparo Sánchez-Gastaldo, et al.. (2021). 1821P Safety and preliminary efficacy of vimseltinib in tenosynovial giant cell tumor (TGCT). Annals of Oncology. 32. S1233–S1234. 7 indexed citations
4.
Hayette, Sandrine, Maxime Vallée, Claire Bardel, et al.. (2021). Performances of Targeted RNA Sequencing for the Analysis of Fusion Transcripts, Gene Mutation, and Expression in Hematological Malignancies. HemaSphere. 5(2). e522–e522. 5 indexed citations
5.
Vallée, Maxime, Tiffany M. Delhomme, E. Maubec, et al.. (2021). The PI3K/mTOR Pathway Is Targeted by Rare Germline Variants in Patients with Both Melanoma and Renal Cell Carcinoma. Cancers. 13(9). 2243–2243. 5 indexed citations
6.
Luo, Xiao, et al.. (2019). Transcriptomic profile of the subiculum-projecting VIP GABAergic neurons in the mouse CA1 hippocampus. Brain Structure and Function. 224(6). 2269–2280. 27 indexed citations
7.
Lesueur, Fabienne, Yan Coulombe, Stéphane Gobeil, et al.. (2016). ABRAXAS (FAM175A) and Breast Cancer Susceptibility: No Evidence of Association in the Breast Cancer Family Registry. PLoS ONE. 11(6). e0156820–e0156820. 4 indexed citations
8.
Vinayanuwattikun, Chanida, Florence Le Calvez‐Kelm, Behnoush Abedi‐Ardekani, et al.. (2016). Elucidating Genomic Characteristics of Lung Cancer Progression from In Situ to Invasive Adenocarcinoma. Scientific Reports. 6(1). 31628–31628. 37 indexed citations
9.
Hernandez-Rapp, Julia, Claudia Goupil, Véronique Dorval, et al.. (2016). microRNA-132/212 deficiency enhances Aβ production and senile plaque deposition in Alzheimer’s disease triple transgenic mice. Scientific Reports. 6(1). 30953–30953. 109 indexed citations
10.
Vaca‐Paniagua, Felipe, Rosa María Álvarez-Gómez, Héctor Aquiles Maldonado-Martínez, et al.. (2015). Revealing the Molecular Portrait of Triple Negative Breast Tumors in an Understudied Population through Omics Analysis of Formalin-Fixed and Paraffin-Embedded Tissues. PLoS ONE. 10(5). e0126762–e0126762. 16 indexed citations
11.
Pertesi, Maroulio, Nicolas Nazaret, Maxime Vallée, et al.. (2015). Rare Circulating Cells in Familial Waldenström Macroglobulinemia Displaying the MYD88 L265P Mutation Are Enriched by Epstein-Barr Virus Immortalization. PLoS ONE. 10(9). e0136505–e0136505. 5 indexed citations
12.
Olivier, Magali, Annette Weninger, Maude Ardin, et al.. (2014). Modelling mutational landscapes of human cancers in vitro. Scientific Reports. 4(1). 4482–4482. 68 indexed citations
13.
Calvez‐Kelm, Florence Le, Javier Oliver, Francesca Damiola, et al.. (2012). RAD51 and Breast Cancer Susceptibility: No Evidence for Rare Variant Association in the Breast Cancer Family Registry Study. PLoS ONE. 7(12). e52374–e52374. 23 indexed citations
14.
Tischkowitz, Marc, Marinela Capanu, Nelly Sabbaghian, et al.. (2012). Rare germline mutations inPALB2and breast cancer risk: A population-based study. Human Mutation. 33(4). 674–680. 59 indexed citations
15.
Lindor, Noralane M., Lucia Guidugli, Xianshu Wang, et al.. (2012). A review of a multifactorial probability based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Human Mutation. 33(5). 900–903. 3 indexed citations
16.
Lindor, Noralane M., Lucia Guidugli, Xianshu Wang, et al.. (2011). A review of a multifactorial probability-based model for classification of BRCA1 and BRCA2 variants of uncertain significance (VUS). Human Mutation. 33(1). 8–21. 155 indexed citations
17.
Gekas, Jean, Maxime Vallée, Rachel Laframboise, et al.. (2011). Clinical validity of karyotyping for the diagnosis of chromosomal imbalance following array comparative genomic hybridisation. Journal of Medical Genetics. 48(12). 851–855. 2 indexed citations
18.
Calvez‐Kelm, Florence Le, Fabienne Lesueur, Francesca Damiola, et al.. (2011). Rare, evolutionarily unlikely missense substitutions in CHEK2contribute to breast cancer susceptibility: results from a breast cancer family registry case-control mutation-screening study. Breast Cancer Research. 13(1). R6–R6. 54 indexed citations
19.
Vallée, Maxime, Davit Babikyan, Fabienne Lesueur, et al.. (2011). Classification of missense substitutions in the BRCA genes: A database dedicated to Ex-UVs. Human Mutation. 33(1). 22–28. 51 indexed citations
20.
Vallée, Maxime, Kazuhiro Aiba, Yueshan Piao, et al.. (2008). Comparative analysis of oocyte transcript profiles reveals a high degree of conservation among species. Reproduction. 135(4). 439–448. 33 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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