Daniel Doerr
Impact in
- Genetics top 10%
- Genomics and Rare Diseases
- Genomic variations and chromosomal abnormalities
- Genome Rearrangement Algorithms
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- Genomics and Phylogenetic Studies
- Genomics and Chromatin Dynamics
- RNA and protein synthesis mechanisms
- CRISPR and Genetic Engineering
Papers in
- Genetics 21
- Genome Rearrangement Algorithms 16
- Genomic variations and chromosomal abnormalities 3
- Genetic diversity and population structure 1
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- Chromosomal and Genetic Variations 12
- Co-authors
- Jens Stoye (13 shared papers)Anne Osbourn (1 shared paper)Laurence D. Hurst (1 shared paper)Peter Fraser (1 shared paper)Eva Wegel (1 shared paper)Selene L. Fernández-Valverde (1 shared paper)Marco Di Stefano (1 shared paper)Steven Wingett (1 shared paper)
- Journals
- Nature (4 papers)Algorithms for Molecular Biology (3 papers)BMC Genomics (3 papers)Cell Reports Methods (1 paper)Bioinformatics (1 paper)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Daniel Doerr
30 papers receiving 1.1k citations
Daniel Doerr's Hit Papers
Peers
Comparison fields: 5 of 106
- Genetics 383
- Molecular Biology 654
- Plant Science 325
- Cancer Research 58
- Aging 4
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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | A draft human pangenome reference Hit paper breakdown → | 2023 | 570 |
| 2 | Pangenome graph construction from genome alignments with Minigraph-Cactus Hit paper breakdown → | 2023 | 159 |
| 3 | 2020 | 86 | |
| 4 | 2023 | 71 | |
| 5 | 2014 | 63 | |
| 6 | 2023 | 61 | |
| 7 | 2021 | 18 | |
| 8 | 2024 | 16 | |
| 9 | 2012 | 14 | |
| 10 | 2023 | 14 | |
| 11 | 2014 | 13 | |
| 12 | 2012 | 12 | |
| 13 | 2013 | 12 | |
| 14 | 2019 | 10 | |
| 15 | 2024 | 7 | |
| 16 | 2017 | 5 | |
| 17 | 2017 | 5 | |
| 18 | 2009 | 4 | |
| 19 | 2020 | 4 | |
| 20 | 2018 | 4 |
About Daniel Doerr
Daniel Doerr is a scholar working on Genetics, Plant Science, Molecular Biology, Developmental Biology and Paleontology, having authored 31 papers that have together received 1.2k indexed citations. Recurring topics across this work include Genome Rearrangement Algorithms (16 papers), Genomics and Phylogenetic Studies (14 papers), Chromosomal and Genetic Variations (12 papers), Genomic variations and chromosomal abnormalities (3 papers), CRISPR and Genetic Engineering (2 papers), Bioinformatics and Genomic Networks (2 papers), Genomics and Chromatin Dynamics (2 papers) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Genetics (383 citations), Molecular Biology (654 citations), Plant Science (325 citations), Cancer Research (58 citations) and Aging (4 citations). Daniel Doerr has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Jens Stoye, Anne Osbourn, Laurence D. Hurst, Peter Fraser, Eva Wegel, Selene L. Fernández-Valverde, Marco Di Stefano, Steven Wingett, Hans‐Wilhelm Nützmann and Sonja J. Prohaska. Their work appears in journals such as Nature, Algorithms for Molecular Biology, BMC Genomics, Cell Reports Methods and 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.