Christophe Béroud

14.9k citations
117 papers · 7.2k indexed · 2 hit papers · h-index 41

Impact in

    • Cancer Genomics and Diagnostics
    • Cancer, Hypoxia, and Metabolism
  • Oncology top 1%
    • Cancer-related Molecular Pathways

Papers in

Christophe Béroud

115 papers receiving 7.1k citations

Hit Papers

Human Splicing Finder: an online bioinformatics tool to predict splicing signals 2009 · 1.9k citations
1.9k200120262009201750010001.5k

Peers

Christophe Béroud
Comparison fields: 5 of 128
  • Cancer Research 1.4k
  • Oncology 1.7k
  • Molecular Biology 4.2k
  • Genetics 1.7k
  • Genetics 561
Replace Svetlana Pack with:
Svetlana Pack United States
Edward A. Fox United States
Ola Myklebost Norway
Sakari Knuutila Finland
Danny Liaw United States
Javier Benı́tez Spain
Harry A. Drabkin United States
Charles Y. Lin United States
Michael Datto United States
Rachel H. Giles Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Christophe Béroud

Since Specialization
Citations

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

Fields of papers citing papers by Christophe Béroud

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20237
2 202038
3 202031
4 20197
5 20178
6 201526
7 201424
8 201136
9 201126
10 201022
11
Human Splicing Finder: an online bioinformatics tool to predict splicing signals
Hit paper breakdown →
20091864
12 200846
13 200838
14 20071
15 200658
16 200695
17 200576
18 200261
19 199725
20 199714

About Christophe Béroud

Christophe Béroud is a scholar working on Cancer Research, Genetics, Molecular Biology, Oncology and Genetics, having authored 117 papers that have together received 7.2k indexed citations. Recurring topics across this work include Cancer Genomics and Diagnostics (29 papers), Genomics and Rare Diseases (16 papers), Cancer-related Molecular Pathways (15 papers), Muscle Physiology and Disorders (14 papers), RNA modifications and cancer (12 papers), Epigenetics and DNA Methylation (11 papers), RNA Research and Splicing (11 papers) and RNA and protein synthesis mechanisms (10 papers). The work is most often cited by research in Cancer Research (1.4k citations), Oncology (1.7k citations), Molecular Biology (4.2k citations), Genetics (1.7k citations) and Genetics (561 citations). Christophe Béroud has collaborated with scholars based in France, United States and United Kingdom. Frequent co-authors include Thierry Soussi, Dalil Hamroun, Mireille Claustres, Gwenaëlle Collod‐Béroud, Jean‐Pierre Desvignes, Cathérine Boileau, Chikashi Ishioka, David Salgado, Nicolas Lévy and Richard J. Kahnoski. Their work appears in journals such as Human Mutation, Nucleic Acids Research, Neuromuscular Disorders, Nature reviews. Cancer and Orphanet Journal of Rare Diseases.

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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