Bruno Chatton

2.8k citations
53 papers · 2.3k indexed · h-index 28
  • Aging top 5%
    • Epigenetics and DNA Methylation 8
    • DNA Repair Mechanisms 7
    • RNA and protein synthesis mechanisms 7
    • Viral Infectious Diseases and Gene Expression in Insects 7
    • CRISPR and Genetic Engineering 6
    • RNA Interference and Gene Delivery 5
    • DNA and Nucleic Acid Chemistry 4
  • Genetics top 5%
    • Virus-based gene therapy research 12
  • Immunology top 10%

Bruno Chatton

52 papers receiving 2.3k citations

Peers

Bruno Chatton
Comparison fields: 5 of 97
  • Aging 58
  • Molecular Biology 1.9k
  • Genetics 582
  • Cancer Research 208
  • Immunology 283
Replace Koji Hisatake with:
Koji Hisatake Japan
David G. Skalnik United States
Stéphanie Pébernard Switzerland
Sandra B. Hake Germany
Michael Hampsey United States
David J. Tremethick Australia
Detlef Doenecke Germany
Robin M. Meyers United States
Rivka Dikstein Israel
Naoyuki Kataoka Japan
Bruno Chatton relative to Koji Hisatake Japan Koji Hisatake's profile →
Citations per field
00.5×1.5×
Koji Hisatake · 1×
Citations per year

Countries citing papers authored by Bruno Chatton

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Chatton

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

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

All Works

20 of 20 papers shown
#Work
1 20216
2 201912
3 201619
4 2015143
5 201524
6 20113
7 200954
8 200815
9 200726
10 200475
11 2003265
12 200228
13 200246
14 200129
15 200027
16 200096
17 199936
18 199391
19 1988178
20 198752

About Bruno Chatton

Bruno Chatton is a scholar working on Aging, Genetics, Molecular Biology, Oncology and Biotechnology, having authored 53 papers that have together received 2.3k indexed citations. Recurring topics across this work include Virus-based gene therapy research (12 papers), Epigenetics and DNA Methylation (8 papers), DNA Repair Mechanisms (7 papers), RNA and protein synthesis mechanisms (7 papers), Viral Infectious Diseases and Gene Expression in Insects (7 papers), CRISPR and Genetic Engineering (6 papers), RNA Interference and Gene Delivery (5 papers) and DNA and Nucleic Acid Chemistry (4 papers). The work is most often cited by research in Aging (58 citations), Molecular Biology (1.9k citations), Genetics (582 citations), Cancer Research (208 citations) and Immunology (283 citations). Bruno Chatton has collaborated with scholars based in France, Japan and United States. Frequent co-authors include Claude Kédinger, José Luís Bocco, Mireille Gaire, Franco Fasiolo, C. Schatz, Christine Wasylyk, Jean‐Luc Imler, Bohdan Wasylyk, Peter Walter and F. Lacroute. Their work appears in journals such as Oncogene, Journal of Biological Chemistry, Nucleic Acids Research, Bioconjugate Chemistry and FEBS Open Bio.

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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