Matthias Bernt

10.4k total citations · 2 hit papers
45 papers, 5.1k citations indexed

About

Matthias Bernt is a scholar working on Molecular Biology, Genetics and Artificial Intelligence. According to data from OpenAlex, Matthias Bernt has authored 45 papers receiving a total of 5.1k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Molecular Biology, 22 papers in Genetics and 13 papers in Artificial Intelligence. Recurrent topics in Matthias Bernt's work include Genomics and Phylogenetic Studies (32 papers), Genome Rearrangement Algorithms (17 papers) and Algorithms and Data Compression (11 papers). Matthias Bernt is often cited by papers focused on Genomics and Phylogenetic Studies (32 papers), Genome Rearrangement Algorithms (17 papers) and Algorithms and Data Compression (11 papers). Matthias Bernt collaborates with scholars based in Germany, United States and Austria. Matthias Bernt's co-authors include Peter F. Stadler, Martin Middendorf, Alexander Donath, Frank Jühling, Guido Fritzsch, Joern Pütz, Catherine Florentz, Bernd Schierwater, Franziska Reinhardt and Stephan Wolf and has published in prestigious journals such as Nucleic Acids Research, Bioinformatics and Scientific Reports.

In The Last Decade

Matthias Bernt

42 papers receiving 5.1k citations

Hit Papers

MITOS: Improved de novo metazoan mitochondrial genome ann... 2012 2026 2016 2021 2012 2019 1000 2.0k 3.0k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Matthias Bernt Germany 15 3.3k 1.7k 1.6k 1.1k 958 45 5.1k
Frank Jühling France 15 3.9k 1.2× 1.4k 0.9× 1.5k 0.9× 1.0k 0.9× 857 0.9× 21 5.7k
Guido Fritzsch Germany 17 2.7k 0.8× 1.4k 0.9× 1.4k 0.9× 1.0k 0.9× 823 0.9× 19 4.5k
Alexander Donath Germany 25 3.2k 1.0× 1.7k 1.0× 2.1k 1.3× 2.1k 1.8× 1.4k 1.5× 43 6.1k
Joern Pütz France 17 3.9k 1.2× 1.3k 0.8× 1.3k 0.8× 915 0.8× 798 0.8× 22 5.3k
Catherine Florentz France 5 2.6k 0.8× 1.2k 0.7× 1.2k 0.8× 904 0.8× 777 0.8× 6 3.9k
Gerard Talavera Spain 26 2.4k 0.7× 1.6k 0.9× 2.1k 1.3× 2.2k 1.9× 753 0.8× 61 6.4k
Alejandro Sánchez‐Gracia Spain 17 2.3k 0.7× 1.1k 0.7× 2.1k 1.3× 1.3k 1.1× 916 1.0× 39 5.8k
Guillaume Achaz France 25 1.8k 0.5× 1.7k 1.0× 1.7k 1.1× 1.2k 1.0× 564 0.6× 55 5.3k
Dennis V. Lavrov United States 31 2.6k 0.8× 1.5k 0.9× 1.2k 0.7× 733 0.6× 374 0.4× 60 4.4k
Elisabeth A. Herniou France 37 2.8k 0.9× 1.5k 0.9× 882 0.6× 700 0.6× 2.0k 2.1× 81 5.5k

Countries citing papers authored by Matthias Bernt

Since Specialization
Citations

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

Fields of papers citing papers by Matthias Bernt

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthias Bernt

This figure shows the co-authorship network connecting the top 25 collaborators of Matthias Bernt. A scholar is included among the top collaborators of Matthias Bernt based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Matthias Bernt. Matthias Bernt is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hartmann, Tom, Martin Middendorf, & Matthias Bernt. (2024). Genome Rearrangement Analysis. Methods in molecular biology. 2802. 215–245.
2.
Bray, Simon, John Chilton, Matthias Bernt, et al.. (2023). The Planemo toolkit for developing, deploying, and executing scientific data analyses in Galaxy and beyond. Genome Research. 33(2). 261–268. 4 indexed citations
3.
Scheibe, Patrick, et al.. (2023). deepFPlearn +: enhancing toxicity prediction across the chemical universe using graph neural networks. Bioinformatics. 39(12). 2 indexed citations
4.
Middendorf, Martin, et al.. (2023). Fully automated annotation of mitochondrial genomes using a cluster-based approach with de Bruijn graphs. Frontiers in Genetics. 14. 1250907–1250907. 2 indexed citations
5.
Fahrner, Matthias, Melanie Christine Föll, Björn Grüning, et al.. (2022). Democratizing data-independent acquisition proteomics analysis on public cloud infrastructures via the Galaxy framework. GigaScience. 11. 11 indexed citations
6.
Schor, Jana, et al.. (2022). AI for predicting chemical-effect associations at the chemical universe level— deepFPlearn. Briefings in Bioinformatics. 23(5). 5 indexed citations
7.
Donath, Alexander, Frank Jühling, Stephan Wolf, et al.. (2019). Improved annotation of protein-coding genes boundaries in metazoan mitochondrial genomes. Nucleic Acids Research. 47(20). 10543–10552. 423 indexed citations breakdown →
8.
Hartmann, Tom, Matthias Bernt, & Martin Middendorf. (2018). EqualTDRL: illustrating equivalent tandem duplication random loss rearrangements. BMC Bioinformatics. 19(1). 192–192. 5 indexed citations
9.
Bernt, Matthias, et al.. (2017). Partially local three-way alignments and the sequence signatures of mitochondrial genome rearrangements. Algorithms for Molecular Biology. 12(1). 22–22. 6 indexed citations
10.
Siederdissen, Christian Höner zu, et al.. (2016). Accurate annotation of protein-coding genes in mitochondrial genomes. Molecular Phylogenetics and Evolution. 106. 209–216. 30 indexed citations
11.
Hartmann, Tom, et al.. (2016). Combinatorics of Tandem Duplication Random Loss Mutations on Circular Genomes. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15(1). 83–95. 9 indexed citations
12.
Sahyoun, Abdullah H., Martin Hölzer, Frank Jühling, et al.. (2015). Towards a comprehensive picture of alloacceptor tRNA remolding in metazoan mitochondrial genomes. Nucleic Acids Research. 43(16). 8044–8056. 24 indexed citations
13.
Duò, Angelo, Rémy Bruggmann, Stefan Zoller, Matthias Bernt, & Christoph R. Grünig. (2012). Mitochondrial genome evolution in species belonging to the Phialocephala fortinii s.l. - Acephala applanata species complex. BMC Genomics. 13(1). 166–166. 32 indexed citations
14.
Bernt, Matthias, Anke Braband, Martin Middendorf, et al.. (2012). Bioinformatics methods for the comparative analysis of metazoan mitochondrial genome sequences. Molecular Phylogenetics and Evolution. 69(2). 320–327. 25 indexed citations
15.
Bernt, Matthias, Anke Braband, Bernd Schierwater, & Peter F. Stadler. (2012). Genetic aspects of mitochondrial genome evolution. Molecular Phylogenetics and Evolution. 69(2). 328–338. 188 indexed citations
17.
Bernt, Matthias & Martin Middendorf. (2011). A method for computing an inventory of metazoan mitochondrial gene order rearrangements. BMC Bioinformatics. 12(S9). S6–S6. 28 indexed citations
18.
Perseke, Marleen, Guido Fritzsch, Kai Ramsch, et al.. (2008). Evolution of mitochondrial gene orders in echinoderms. Molecular Phylogenetics and Evolution. 47(2). 855–864. 65 indexed citations
19.
Bernt, Matthias, Daniel Merkle, & Martin Middendorf. (2008). Solving the Preserving Reversal Median Problem. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 5(3). 332–347. 5 indexed citations
20.
Bernt, Matthias, Daniel Merkle, & Martin Middendorf. (2006). Genome Rearrangement Based on Reversals that Preserve Conserved Intervals. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 3(3). 275–288. 6 indexed citations

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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