Frederic Bertels

24 papers receiving 979 citations

Hit Papers

Automated Reconstruction of Whole-Genome Phylogenies from Short-Sequence Reads 2014 · 343 citations
3430+4+8Years since publication100200300

Peers

Frederic Bertels
Comparison fields: 5 of 71
  • Endocrinology 82
  • Molecular Medicine 65
  • Plant Science 440
  • Cell Biology 138
  • Genetics 216
Replace Diogo Nuno Silva with:
Diogo Nuno Silva Portugal
Carlos Lloréns Spain
Myrthe Otsen Netherlands
Peter M. Merritt United States
Sean Meaden United Kingdom
Jane Charlesworth United Kingdom
Susanna K. Remold United States
Damien F. Meyer France
Mike Quail United Kingdom
A. Carolin Frank Sweden
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Citations per field
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Diogo Nuno Silva · 1×
Citations per year

Countries citing papers authored by Frederic Bertels

Since Specialization
Citations

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

Fields of papers citing papers by Frederic Bertels

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Automated Reconstruction of Whole-Genome Phylogenies from Short-Sequence Reads
Hit paper breakdown →
2014343
2 2013204
3 200999
4 200879
5 201541
6 201337
7 201134
8 201330
9 201917
10 202116
11 201114
12 201713
13 201712
14 201911
15 20179
16 20239
17 20248
18 20188
19 20216
20 20244

About Frederic Bertels

Frederic Bertels is a scholar working on Molecular Biology, Genetics, Ecology, Plant Science and Virology, having authored 25 papers that have together received 1.0k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (13 papers), Bacteriophages and microbial interactions (10 papers), Evolution and Genetic Dynamics (9 papers), Bacterial Genetics and Biotechnology (6 papers), Plant Pathogenic Bacteria Studies (4 papers), Chromosomal and Genetic Variations (4 papers), HIV Research and Treatment (3 papers) and Plant Pathogens and Fungal Diseases (2 papers). The work is most often cited by research in Endocrinology (82 citations), Molecular Medicine (65 citations), Plant Science (440 citations), Cell Biology (138 citations) and Genetics (216 citations). Frederic Bertels has collaborated with scholars based in Germany, New Zealand and Switzerland. Frequent co-authors include Paul B. Rainey, Mikhail Pachkov, Olin Silander, Erik van Nimwegen, Justin M. O’Sullivan, Beatrix Jones, Gayle C. Ferguson, Christina Straub, Matthew D. Templeton and J.L. Vanneste. Their work appears in journals such as Molecular Biology and Evolution, Genetics, Virus Evolution, Philosophical Transactions of the Royal Society B Biological Sciences and PLoS Pathogens.

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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