Daniel W. Förster

911 total citations
27 papers, 493 citations indexed

About

Daniel W. Förster is a scholar working on Genetics, Ecology and Molecular Biology. According to data from OpenAlex, Daniel W. Förster has authored 27 papers receiving a total of 493 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 16 papers in Ecology and 11 papers in Molecular Biology. Recurrent topics in Daniel W. Förster's work include Genetic diversity and population structure (21 papers), Wildlife Ecology and Conservation (9 papers) and Genomics and Phylogenetic Studies (9 papers). Daniel W. Förster is often cited by papers focused on Genetic diversity and population structure (21 papers), Wildlife Ecology and Conservation (9 papers) and Genomics and Phylogenetic Studies (9 papers). Daniel W. Förster collaborates with scholars based in Germany, United Kingdom and United States. Daniel W. Förster's co-authors include Jörns Fickel, Jeremy B. Searle, Johanna L. A. Paijmans, Michael Hofreiter, Joerns Fickel, Alexandre Courtiol, María da Luz Mathias, Dorina Lenz, R.H. Kraus and Andreas Wilting and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Molecular Ecology.

In The Last Decade

Daniel W. Förster

27 papers receiving 479 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Daniel W. Förster Germany 13 319 306 188 57 41 27 493
Tom van der Valk Sweden 14 348 1.1× 174 0.6× 212 1.1× 23 0.4× 32 0.8× 32 538
Mu‐Yeong Lee South Korea 11 187 0.6× 216 0.7× 125 0.7× 39 0.7× 16 0.4× 37 372
Gohta Kinoshita Japan 12 206 0.6× 203 0.7× 79 0.4× 43 0.8× 20 0.5× 27 386
Huizhong Fan China 11 306 1.0× 145 0.5× 123 0.7× 93 1.6× 64 1.6× 25 514
Rachael C. Brookes United Kingdom 5 192 0.6× 318 1.0× 76 0.4× 62 1.1× 24 0.6× 7 374
Junghwa An South Korea 12 311 1.0× 237 0.8× 202 1.1× 41 0.7× 30 0.7× 61 524
James A. Morris‐Pocock Canada 10 230 0.7× 212 0.7× 91 0.5× 26 0.5× 13 0.3× 13 353
Shaohong Feng China 12 322 1.0× 110 0.4× 169 0.9× 44 0.8× 115 2.8× 22 474
Hichem Ben Slimen Austria 13 252 0.8× 283 0.9× 71 0.4× 25 0.4× 15 0.4× 27 402
Eleftherios Hadjisterkotis Cyprus 12 190 0.6× 192 0.6× 64 0.3× 32 0.6× 43 1.0× 43 419

Countries citing papers authored by Daniel W. Förster

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Daniel W. Förster

This figure shows the co-authorship network connecting the top 25 collaborators of Daniel W. Förster. A scholar is included among the top collaborators of Daniel W. Förster based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Daniel W. Förster. Daniel W. Förster is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Barlow, Axel, et al.. (2023). First mitogenome phylogeny of the sun bear Helarctos malayanus reveals a deep split between Indochinese and Sundaic lineages. Ecology and Evolution. 13(4). e9969–e9969. 5 indexed citations
2.
Giménez, Mabel D., Moira Scascitelli, Sofia I. Gabriel, et al.. (2022). Tracking Chromosomal Origins in the Northern Italy System of Metacentric Races of the House Mouse. Cytogenetic and Genome Research. 162(4). 214–230. 1 indexed citations
3.
Blažytė, Asta, Pavel Dobrynin, David A. Duchêne, et al.. (2022). Multiple types of genomic variation contribute to adaptive traits in the mustelid subfamily Guloninae. Molecular Ecology. 31(10). 2898–2919. 7 indexed citations
4.
Fickel, Jörns, et al.. (2020). The complete mitochondrial genome of the meerkat (Suricata suricatta) and its phylogenetic relationship with other feliform species. SHILAP Revista de lepidopterología. 5(1). 1100–1101. 1 indexed citations
5.
6.
Paijmans, Johanna L. A., Gloria G. Fortes, & Daniel W. Förster. (2019). Application of Solid-State Capture for the Retrieval of Small-to-Medium Sized Target Loci from Ancient DNA. Methods in molecular biology. 1963. 129–139. 4 indexed citations
7.
8.
Premier, Joe, et al.. (2019). Population and landscape genetic analysis of the Malayan sun bear Helarctos malayanus. Conservation Genetics. 21(1). 123–135. 8 indexed citations
9.
Kampmann, Marie‐Louise, et al.. (2019). Sequencing Library Preparation from Degraded Samples for Non-illumina Sequencing Platforms. Methods in molecular biology. 85–92. 1 indexed citations
10.
Förster, Daniel W., Dorina Lenz, Johanna L. A. Paijmans, et al.. (2018). Targeted resequencing of coding DNA sequences for SNP discovery in nonmodel species. Molecular Ecology Resources. 18(6). 1356–1373. 17 indexed citations
11.
Paijmans, Johanna L. A., Axel Barlow, Daniel W. Förster, et al.. (2018). Historical biogeography of the leopard (Panthera pardus) and its extinct Eurasian populations. BMC Evolutionary Biology. 18(1). 156–156. 20 indexed citations
12.
Fickel, Jörns, Minh Đức Lê, Thanh Van Nguyen, et al.. (2017). Phylogeography of red muntjacs reveals three distinct mitochondrial lineages. BMC Evolutionary Biology. 17(1). 34–34. 28 indexed citations
13.
Lenz, Dorina, S. Mukherjee, Uma Ramakrishnan, et al.. (2017). Genetic Structure and Phylogeography of the Leopard Cat (Prionailurus bengalensis) Inferred from Mitochondrial Genomes. Journal of Heredity. 108(4). 349–360. 30 indexed citations
14.
Giménez, Mabel D., Daniel W. Förster, Eleanor P. Jones, et al.. (2016). A Half-Century of Studies on a Chromosomal Hybrid Zone of the House Mouse. Journal of Heredity. 108(1). 25–35. 12 indexed citations
15.
Förster, Daniel W., Eleanor P. Jones, Sofia I. Gabriel, et al.. (2016). Genetic differentiation within and away from the chromosomal rearrangements characterising hybridising chromosomal races of the western house mouse (Mus musculus domesticus). Chromosome Research. 24(2). 271–280. 7 indexed citations
16.
17.
Förster, Daniel W., María da Luz Mathias, Janice Britton‐Davidian, & Jeremy B. Searle. (2012). Origin of the chromosomal radiation of Madeiran house mice: a microsatellite analysis of metacentric chromosomes. Heredity. 110(4). 380–388. 15 indexed citations
18.
Gündüz, İslam, Mabel D. Giménez, Daniel W. Förster, et al.. (2010). Staggered Chromosomal Hybrid Zones in the House Mouse: Relevance to Reticulate Evolution and Speciation. Genes. 1(2). 193–209. 11 indexed citations
19.
Bužan, Elena, Daniel W. Förster, Jeremy B. Searle, & Boris Kryštufek. (2010). A new cytochrome b phylogroup of the common vole (Microtus arvalis) endemic to the Balkans and its implications for the evolutionary history of the species. Biological Journal of the Linnean Society. 100(4). 788–796. 26 indexed citations
20.
Förster, Daniel W., İslam Gündüz, Ana Cláudia Nunes, et al.. (2009). Molecular insights into the colonization and chromosomal diversification of Madeiran house mice. Molecular Ecology. 18(21). 4477–4494. 38 indexed citations

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.

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