Daniel Doerr
Impact in
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- Genome Rearrangement Algorithms
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- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Plant biochemistry and biosynthesis
- Plant Gene Expression Analysis
Papers in
- Genetics 16
- Genome Rearrangement Algorithms 14
- Genetic diversity and population structure 1
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- Genomics and Phylogenetic Studies 11
- Bioinformatics and Genomic Networks 2
- Genomics and Chromatin Dynamics 2
- Co-authors
- Jens Stoye (13 shared papers)Selene L. Fernández-Valverde (1 shared paper)Laurence D. Hurst (1 shared paper)Peter Fraser (1 shared paper)Marco Di Stefano (1 shared paper)Eva Wegel (1 shared paper)Hans‐Wilhelm Nützmann (1 shared paper)Steven Wingett (1 shared paper)
- Journals
- Algorithms for Molecular Biology (3 papers)BMC Genomics (3 papers)Bioinformatics (1 paper)Molecular Biology and Evolution (1 paper)Microbial Genomics (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Doerr
23 papers receiving 270 citations
Peers
Comparison fields: 5 of 60
- Genetics 94
- Molecular Biology 205
- Plant Science 106
- Horticulture 1
- Food Science 15
Countries citing papers authored by Daniel Doerr
This map shows the geographic impact of Daniel Doerr'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 Daniel Doerr with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel Doerr more than expected).
Fields of papers citing papers by Daniel Doerr
This network shows the impact of papers produced by Daniel Doerr. 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 Daniel Doerr. The network helps show where Daniel Doerr may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel Doerr, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 84 | |
| 2 | 2014 | 61 | |
| 3 | 2021 | 16 | |
| 4 | 2014 | 14 | |
| 5 | 2012 | 14 | |
| 6 | 2023 | 13 | |
| 7 | 2013 | 12 | |
| 8 | 2012 | 12 | |
| 9 | 2024 | 9 | |
| 10 | 2019 | 8 | |
| 11 | 2024 | 6 | |
| 12 | 2017 | 5 | |
| 13 | 2017 | 4 | |
| 14 | 2018 | 4 | |
| 15 | 2020 | 4 | |
| 16 | 2012 | 3 | |
| 17 | 2009 | 3 | |
| 18 | 2016 | 3 | |
| 19 | 2016 | 1 | |
| 20 | 2023 | 1 |
About Daniel Doerr
Daniel Doerr is a scholar working on Genetics, Molecular Biology, Plant Science, Paleontology and Social Psychology, having authored 24 papers that have together received 280 indexed citations. Recurring topics across this work include Genome Rearrangement Algorithms (14 papers), Genomics and Phylogenetic Studies (11 papers), Chromosomal and Genetic Variations (7 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers), Radiomics and Machine Learning in Medical Imaging (1 paper), Genetic diversity and population structure (1 paper) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Genetics (94 citations), Molecular Biology (205 citations), Plant Science (106 citations), Horticulture (1 citation) and Food Science (15 citations). Daniel Doerr has collaborated with scholars based in Germany, United States and Switzerland. Frequent co-authors include Jens Stoye, Selene L. Fernández-Valverde, Laurence D. Hurst, Peter Fraser, Marco Di Stefano, Eva Wegel, Hans‐Wilhelm Nützmann, Steven Wingett, Anne Osbourn and Marcus Lechner. Their work appears in journals such as Algorithms for Molecular Biology, BMC Genomics, Bioinformatics, Molecular Biology and Evolution and Microbial Genomics.
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.