Nicolas Beaume

676 citations
10 papers · 471 indexed · h-index 8

Impact in

  • Neurology top 10%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms
    • MicroRNA in disease regulation
    • Cancer-related molecular mechanisms research

Papers in

Nicolas Beaume

10 papers receiving 468 citations

Peers

Nicolas Beaume
Comparison fields: 5 of 73
  • Neurology 81
  • Cancer Research 116
  • Neurology 95
  • Molecular Biology 268
  • Immunology 72
Replace Peizhou Liang with:
Peizhou Liang China
Ana Lis Moyano United States
Aitor Martinez United Kingdom
Dongxue Mao United States
Sami Saarenpää Sweden
Francisco Meirelles Bastos de Oliveira Brazil
Chiu-Hui Huang Taiwan
Robert J. Ross United States
Evgeny Shlevkov United States
Patricia Combes France
Nicolas Beaume relative to Peizhou Liang China Peizhou Liang's profile →
Citations per field
00.5×3.2×
Peizhou Liang · 1×
Citations per year

Countries citing papers authored by Nicolas Beaume

Since Specialization
Citations

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

Fields of papers citing papers by Nicolas Beaume

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

10 of 10 papers shown
#Work
1 202120
2 20219
3 201913
4 2016124
5 201576
6 201573
7 201457
8 20137
9 201290
10 20102

About Nicolas Beaume

Nicolas Beaume is a scholar working on Cancer Research, Neurology, Molecular Biology, Insect Science and Oncology, having authored 10 papers that have together received 471 indexed citations. Recurring topics across this work include MicroRNA in disease regulation (2 papers), RNA Research and Splicing (2 papers), RNA modifications and cancer (1 paper), Extracellular vesicles in disease (1 paper), Single-cell and spatial transcriptomics (1 paper), DNA and Nucleic Acid Chemistry (1 paper), Bacteriophages and microbial interactions (1 paper) and RNA regulation and disease (1 paper). The work is most often cited by research in Neurology (81 citations), Cancer Research (116 citations), Neurology (95 citations), Molecular Biology (268 citations) and Immunology (72 citations). Nicolas Beaume has collaborated with scholars based in Luxembourg, France and India. Frequent co-authors include Mélanie Kirchmeyer, Paul Felten, Paul Heuschling, Luc Grandbarbe, Cindy Birck, Tony Heurtaux, Hemant K. Gautam, Shantanu Chowdhury, Rajiv Pathak and Vinod Kumar Yadav. Their work appears in journals such as Molecular Genetics and Genomics, Scientific Reports, British Journal of Cancer, iScience and Oncotarget.

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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