Daniel A. Dalquen
Impact in
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- Genetic diversity and population structure
- Evolution and Genetic Dynamics
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- Evolution and Paleontology Studies
Papers in
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- Genomics and Phylogenetic Studies 5
- Gene expression and cancer classification 1
- Genetics 3
- Genetic diversity and population structure 2
- Genome Rearrangement Algorithms 1
- Evolution and Genetic Dynamics 1
- Co-authors
- Ziheng Yang (3 shared papers)Christophe Dessimoz (3 shared papers)Maria Anisimova (2 shared papers)Gastón H. Gonnet (2 shared papers)Yuttapong Thawornwattana (2 shared papers)Tianqi Zhu (1 shared paper)Adrian Altenhoff (2 shared papers)Bettina E. Schirrmeister (1 shared paper)
- Journals
- Molecular Biology and Evolution (2 papers)Bayesian Analysis (1 paper)BMC Microbiology (1 paper)Systematic Biology (1 paper)Genome Research (1 paper)
- Partner nations
- United KingdomSwitzerlandUnited States
In The Last Decade
Daniel A. Dalquen
7 papers receiving 368 citations
Peers
Comparison fields: 5 of 64
- Genetics 159
- Paleontology 32
- Molecular Biology 227
- Ecology 59
- Ecology, Evolution, Behavior and Systematics 34
Countries citing papers authored by Daniel A. Dalquen
This map shows the geographic impact of Daniel A. Dalquen'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 A. Dalquen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel A. Dalquen more than expected).
Fields of papers citing papers by Daniel A. Dalquen
This network shows the impact of papers produced by Daniel A. Dalquen. 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 A. Dalquen. The network helps show where Daniel A. Dalquen may publish in the future.
Co-authors
The 17 scholars most cited alongside Daniel A. Dalquen, 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 | 2019 | 96 | |
| 2 | 2011 | 86 | |
| 3 | 2018 | 66 | |
| 4 | 2016 | 50 | |
| 5 | 2012 | 38 | |
| 6 | 2013 | 26 | |
| 7 | 2017 | 8 |
About Daniel A. Dalquen
Daniel A. Dalquen is a scholar working on Molecular Biology, Genetics, Condensed Matter Physics, Mathematical Physics and Immunology, having authored 7 papers that have together received 370 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (5 papers), Genetic diversity and population structure (2 papers), Genome Rearrangement Algorithms (1 paper), Stochastic processes and statistical mechanics (1 paper), Evolution and Genetic Dynamics (1 paper), Gene expression and cancer classification (1 paper), Theoretical and Computational Physics (1 paper) and Markov Chains and Monte Carlo Methods (1 paper). The work is most often cited by research in Genetics (159 citations), Paleontology (32 citations), Molecular Biology (227 citations), Ecology (59 citations) and Ecology, Evolution, Behavior and Systematics (34 citations). Daniel A. Dalquen has collaborated with scholars based in United Kingdom, Switzerland and United States. Frequent co-authors include Ziheng Yang, Christophe Dessimoz, Maria Anisimova, Gastón H. Gonnet, Yuttapong Thawornwattana, Tianqi Zhu, Adrian Altenhoff, Bettina E. Schirrmeister, Homayoun C. Bagheri and Maximilian J. Telford. Their work appears in journals such as Molecular Biology and Evolution, Bayesian Analysis, BMC Microbiology, Systematic Biology and Genome Research.
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.