Benjamin Audit

4.6k citations
87 papers · 3.2k indexed · h-index 33

Impact in

    • Genomics and Chromatin Dynamics
    • DNA Repair Mechanisms
    • RNA and protein synthesis mechanisms
    • Epigenetics and DNA Methylation
    • Genomics and Phylogenetic Studies
    • Fractal and DNA sequence analysis
    • Machine Learning in Bioinformatics
    • RNA Research and Splicing
  • Genetics top 5%

Papers in

    • Genomics and Chromatin Dynamics 44
    • DNA Repair Mechanisms 32
    • RNA and protein synthesis mechanisms 23
    • Fractal and DNA sequence analysis 15
    • Genomics and Phylogenetic Studies 12
    • Epigenetics and DNA Methylation 12
    • Machine Learning in Bioinformatics 9

Benjamin Audit

86 papers receiving 3.1k citations

Peers

Benjamin Audit
Comparison fields: 5 of 136
  • Molecular Biology 2.6k
  • Genetics 434
  • Cancer Research 144
  • Plant Science 301
  • Cell Biology 121
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Citations per year

Countries citing papers authored by Benjamin Audit

Since Specialization
Citations

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

Fields of papers citing papers by Benjamin Audit

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 87 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2005276
2 2010158
3 2007126
4 2002120
5 2011114
6 2001112
7 2005107
8 2014105
9 201092
10 200278
11 200178
12 200273
13 201263
14 201462
15 199862
16 200958
17 201254
18 200553
19 201153
20 200751

About Benjamin Audit

Benjamin Audit is a scholar working on Molecular Biology, Genetics, Plant Science, Statistical and Nonlinear Physics and Economics and Econometrics, having authored 87 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (44 papers), DNA Repair Mechanisms (32 papers), RNA and protein synthesis mechanisms (23 papers), Fractal and DNA sequence analysis (15 papers), Genomics and Phylogenetic Studies (12 papers), Epigenetics and DNA Methylation (12 papers), Machine Learning in Bioinformatics (9 papers) and Chromosomal and Genetic Variations (9 papers). The work is most often cited by research in Molecular Biology (2.6k citations), Genetics (434 citations), Cancer Research (144 citations), Plant Science (301 citations) and Cell Biology (121 citations). Benjamin Audit has collaborated with scholars based in France, United Kingdom and United States. Frequent co-authors include A. Arnéodo, Claude Thermes, Yves d’Aubenton-Carafa, Christos Ouzounis, Cédric Vaillant, Jean–François Muzy, Núria López-Bigas, Roderic Guigó, Olivier Hyrien and Genı́s Parra. Their work appears in journals such as Physical Review Letters, PLoS Computational Biology, The European Physical Journal E, Nucleic Acids Research and BMC Bioinformatics.

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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