Christophe Andréoli

1.1k citations
12 papers · 893 · h-index 11

Impact in

Papers in

    • Mitochondrial Function and Pathology 3
    • Bioinformatics and Genomic Networks 3
    • Machine Learning in Bioinformatics 3
    • Signaling Pathways in Disease 3
    • Metabolomics and Mass Spectrometry Studies 2
    • Neurofibromatosis and Schwannoma Cases 2

Christophe Andréoli

12 papers receiving 878 citations

Peers

Christophe Andréoli
Comparison fields: 5 of 82
  • Immunology and Allergy 138
  • Cell Biology 253
  • Neurology 187
  • Molecular Biology 634
  • Clinical Biochemistry 51
Replace Christian N. Cunningham with:
Christian N. Cunningham United States
Michelle J. Kean Canada
Jane L. Wagstaff United Kingdom
Patrick Lestienne France
Émilie Chautard France
Dikran Aivazian United States
Viviane Poupon Canada
Drell A. Bottorff Canada
Christopher C. Williams United States
Joachim Krieg Switzerland
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Citations per field
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Citations per year

Countries citing papers authored by Christophe Andréoli

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Andréoli

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

12 of 12 papers shown
#Work
1 2004176
2 1995172
3 1994121
4 1995121
5 200370
6 200964
7 200849
8 200642
9 200436
10 199525
11 200415
12
Integrative analysis of the mitochondrial proteome
20042

About Christophe Andréoli

Christophe Andréoli is a scholar working on Molecular Biology, Neurology, Cell Biology, Genetics and Surgery, having authored 12 papers that have together received 893 indexed citations. Recurring topics across this work include Mitochondrial Function and Pathology (3 papers), Bioinformatics and Genomic Networks (3 papers), Machine Learning in Bioinformatics (3 papers), Signaling Pathways in Disease (3 papers), Neurofibromatosis and Schwannoma Cases (2 papers), Metabolomics and Mass Spectrometry Studies (2 papers), Advanced Proteomics Techniques and Applications (1 paper) and Trypanosoma species research and implications (1 paper). The work is most often cited by research in Immunology and Allergy (138 citations), Cell Biology (253 citations), Neurology (187 citations), Molecular Biology (634 citations) and Clinical Biochemistry (51 citations). Christophe Andréoli has collaborated with scholars based in Germany, France and Switzerland. Frequent co-authors include Paul Mangeat, Thomas Meitinger, Marianne Martin, Verena Niggli, Christian Roy, Holger Prokisch, Hubert Reggio, Jakob C. Mueller, Roland Le Borgne and P. Montcourrier. Their work appears in journals such as FEBS Letters, Journal of Cell Science, IEEE/ACM Transactions on Computational Biology and Bioinformatics, Methods in enzymology on CD-ROM/Methods in enzymology and Mitochondrion.

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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