Maxime Vallée

2.6k citations
27 papers · 875 · h-index 15

Impact in

    • Cancer Genomics and Diagnostics
    • MicroRNA in disease regulation
  • Genetics top 5%
    • BRCA gene mutations in cancer
    • Genomics and Rare Diseases
    • Genomic variations and chromosomal abnormalities

Papers in

    • DNA Repair Mechanisms 5
    • Molecular Biology Techniques and Applications 3
    • CRISPR and Genetic Engineering 3
    • Single-cell and spatial transcriptomics 2
    • BRCA gene mutations in cancer 8
    • Genomics and Rare Diseases 6

Maxime Vallée

27 papers receiving 867 citations

Peers

Maxime Vallée
Comparison fields: 5 of 85
  • Cancer Research 334
  • Genetics 413
  • Molecular Biology 507
  • Pathology and Forensic Medicine 125
  • Oncology 133
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Maxime Vallée relative to Rumana Bahar Japan Rumana Bahar's profile →
Citations per field
00.5×3.2×
Rumana Bahar · 1×
Citations per year

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-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2011155
2 2016109
3 201473
4 201468
5 201259
6 201659
7 201154
8 201151
9 201637
10 200833
11 201632
12 201927
13 201223
14 201723
15 201516
16 202110
17 20228
18 20217
19 20215
20 20155

About Maxime Vallée

Maxime Vallée is a scholar working on Molecular Biology, Genetics, Cancer Research, Infectious Diseases and Pathology and Forensic Medicine, having authored 27 papers that have together received 875 indexed citations. Recurring topics across this work include BRCA gene mutations in cancer (8 papers), Cancer Genomics and Diagnostics (8 papers), Genomics and Rare Diseases (6 papers), DNA Repair Mechanisms (5 papers), Tuberculosis Research and Epidemiology (3 papers), Molecular Biology Techniques and Applications (3 papers), CRISPR and Genetic Engineering (3 papers) and Single-cell and spatial transcriptomics (2 papers). The work is most often cited by research in Cancer Research (334 citations), Genetics (413 citations), Molecular Biology (507 citations), Pathology and Forensic Medicine (125 citations) and Oncology (133 citations). Maxime Vallée has collaborated with scholars based in France, Canada and United States. Frequent co-authors include Sean V. Tavtigian, Fergus J. Couch, Álvaro N.A. Monteiro, Lucia Guidugli, Noralane M. Lindor, Xianshu Wang, Arnaud Droit, Geoffroy Durand, Florence Le Calvez‐Kelm and Graham Byrnes. Their work appears in journals such as Human Mutation, PLoS ONE, Scientific Reports, Breast Cancer Research and International Journal of Molecular Sciences.

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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