Daniel Doerr
Impact in
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- Chromosomal and Genetic Variations
- Plant Molecular Biology Research
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- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- Plant biochemistry and biosynthesis
- Plant Gene Expression Analysis
- RNA and protein synthesis mechanisms
Papers in
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- Genomics and Phylogenetic Studies 12
- Genomics and Chromatin Dynamics 3
- RNA and protein synthesis mechanisms 2
- Genetics 11
- Genome Rearrangement Algorithms 7
- Genomic variations and chromosomal abnormalities 2
- Genetic diversity and population structure 2
- Co-authors
- Jens Stoye (9 shared papers)Marco Di Stefano (1 shared paper)Steven Wingett (1 shared paper)Peter Fraser (1 shared paper)Selene L. Fernández-Valverde (1 shared paper)Anne Osbourn (1 shared paper)Laurence D. Hurst (1 shared paper)Hans‐Wilhelm Nützmann (1 shared paper)
- Journals
- BMC Genomics (3 papers)Algorithms for Molecular Biology (2 papers)Bioinformatics (1 paper)BMC Bioinformatics (1 paper)Molecular Biology and Evolution (1 paper)
- Partner nations
- GermanyUnited StatesSwitzerland
In The Last Decade
Daniel Doerr
17 papers receiving 212 citations
Peers
Comparison fields: 5 of 60
- Plant Science 90
- Molecular Biology 165
- Genetics 54
- 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
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 78 | |
| 2 | 2014 | 50 | |
| 3 | 2021 | 14 | |
| 4 | 2023 | 11 | |
| 5 | 2012 | 10 | |
| 6 | 2014 | 8 | |
| 7 | 2024 | 6 | |
| 8 | 2012 | 6 | |
| 9 | 2024 | 5 | |
| 10 | 2019 | 5 | |
| 11 | 2017 | 5 | |
| 12 | 2017 | 4 | |
| 13 | 2018 | 4 | |
| 14 | 2020 | 3 | |
| 15 | 2009 | 3 | |
| 16 | 2012 | 2 | |
| 17 | 2023 | 1 | |
| 18 | 2023 | 0 |
About Daniel Doerr
Daniel Doerr is a scholar working on Molecular Biology, Genetics, Plant Science, Paleontology and Social Psychology, having authored 18 papers that have together received 215 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (12 papers), Chromosomal and Genetic Variations (7 papers), Genome Rearrangement Algorithms (7 papers), Genomics and Chromatin Dynamics (3 papers), RNA and protein synthesis mechanisms (2 papers), Genomic variations and chromosomal abnormalities (2 papers), Genetic diversity and population structure (2 papers) and Data-Driven Disease Surveillance (1 paper). The work is most often cited by research in Plant Science (90 citations), Molecular Biology (165 citations), Genetics (54 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, Marco Di Stefano, Steven Wingett, Peter Fraser, Selene L. Fernández-Valverde, Anne Osbourn, Laurence D. Hurst, Hans‐Wilhelm Nützmann, Eva Wegel and Sonja J. Prohaska. Their work appears in journals such as BMC Genomics, Algorithms for Molecular Biology, Bioinformatics, BMC Bioinformatics and Molecular Biology and Evolution.
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.