Daniel W. Förster
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
Papers in
- Co-authors
- Jörns Fickel (13 shared papers)Jeremy B. Searle (7 shared papers)Johanna L. A. Paijmans (5 shared papers)Michael Hofreiter (3 shared papers)Joerns Fickel (2 shared papers)Alexandre Courtiol (1 shared paper)Dorina Lenz (5 shared papers)María da Luz Mathias (2 shared papers)
- Journals
- Molecular Ecology Resources (4 papers)Conservation Genetics (3 papers)Genes (3 papers)Journal of Heredity (2 papers)BMC Evolutionary Biology (2 papers)
- Partner nations
- GermanyUnited KingdomUnited States
In The Last Decade
Daniel W. Förster
27 papers receiving 496 citations
Peers
Comparison fields: 5 of 52
- Ecological Modeling 58
- Genetics 318
- Ecology 304
- Paleontology 40
- Molecular Biology 182
Countries citing papers authored by Daniel W. Förster
This map shows the geographic impact of Daniel W. Förster'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 W. Förster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daniel W. Förster more than expected).
Fields of papers citing papers by Daniel W. Förster
This network shows the impact of papers produced by Daniel W. Förster. 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 W. Förster. The network helps show where Daniel W. Förster may publish in the future.
Co-authors
The 25 scholars most cited alongside Daniel W. Förster, 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 27 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 69 | |
| 2 | 2015 | 63 | |
| 3 | 2019 | 45 | |
| 4 | 2009 | 39 | |
| 5 | 2017 | 32 | |
| 6 | 2017 | 29 | |
| 7 | 2016 | 29 | |
| 8 | 2010 | 27 | |
| 9 | 2018 | 22 | |
| 10 | 2018 | 17 | |
| 11 | 2016 | 17 | |
| 12 | 2019 | 17 | |
| 13 | 2012 | 15 | |
| 14 | 2021 | 12 | |
| 15 | 2016 | 12 | |
| 16 | 2010 | 11 | |
| 17 | 2018 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2016 | 7 | |
| 20 | 2022 | 7 |
About Daniel W. Förster
Daniel W. Förster is a scholar working on Genetics, Ecology, Molecular Biology, Paleontology and Plant Science, having authored 27 papers that have together received 509 indexed citations. Recurring topics across this work include Genetic diversity and population structure (20 papers), Genomics and Phylogenetic Studies (9 papers), Wildlife Ecology and Conservation (7 papers), Animal Ecology and Behavior Studies (6 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Evolution and Paleontology Studies (5 papers), Chromosomal and Genetic Variations (4 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Ecological Modeling (58 citations), Genetics (318 citations), Ecology (304 citations), Paleontology (40 citations) and Molecular Biology (182 citations). Daniel W. Förster has collaborated with scholars based in Germany, United Kingdom and United States. Frequent co-authors include Jörns Fickel, Jeremy B. Searle, Johanna L. A. Paijmans, Michael Hofreiter, Joerns Fickel, Alexandre Courtiol, Dorina Lenz, María da Luz Mathias, Andreas Wilting and Carsten Nowak. Their work appears in journals such as Molecular Ecology Resources, Conservation Genetics, Genes, Journal of Heredity and BMC Evolutionary Biology.
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.