M. Förster

2.2k total citations · 1 hit paper
50 papers, 1.5k citations indexed

About

M. Förster is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, M. Förster has authored 50 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Genetics, 14 papers in Molecular Biology and 12 papers in Plant Science. Recurrent topics in M. Förster's work include Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic and phenotypic traits in livestock (18 papers) and Genetic diversity and population structure (7 papers). M. Förster is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (19 papers), Genetic and phenotypic traits in livestock (18 papers) and Genetic diversity and population structure (7 papers). M. Förster collaborates with scholars based in Germany, United States and United Kingdom. M. Förster's co-authors include Ivica Međugorac, Doris Seichter, Carol Stocking, Sophie Rothammer, Manfred Schmidt, Wolfram Ostertag, Christopher Baum, Johann Meyer, Bernd Schiedlmeier and Anke Wahlers and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Blood.

In The Last Decade

M. Förster

48 papers receiving 1.5k citations

Hit Papers

Murine Leukemia Induced by Retroviral Gene Marking 2002 2026 2010 2018 2002 100 200 300 400 500

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
M. Förster Germany 18 1.1k 633 191 158 148 50 1.5k
Loren C. Skow United States 29 1.2k 1.1× 1.3k 2.1× 397 2.1× 142 0.9× 98 0.7× 92 2.8k
Jared E. Decker United States 23 1.3k 1.2× 386 0.6× 312 1.6× 334 2.1× 45 0.3× 62 1.8k
Silvia Colleoni Italy 23 954 0.8× 1.9k 3.0× 96 0.5× 226 1.4× 139 0.9× 35 2.6k
Gerli Pielberg Sweden 17 794 0.7× 485 0.8× 135 0.7× 60 0.4× 33 0.2× 25 1.3k
Gwenola Tosser‐Klopp France 27 1.3k 1.2× 609 1.0× 176 0.9× 413 2.6× 38 0.3× 58 2.0k
Alex Van Zeveren Belgium 22 712 0.6× 810 1.3× 93 0.5× 191 1.2× 30 0.2× 92 1.8k
Daniel F. Carlson United States 24 1.6k 1.4× 2.6k 4.1× 374 2.0× 61 0.4× 71 0.5× 50 3.2k
Daniel Gerlach Austria 22 361 0.3× 1.8k 2.9× 411 2.2× 81 0.5× 119 0.8× 40 2.7k
Haruko Takeda Belgium 17 1.1k 0.9× 1.4k 2.2× 216 1.1× 182 1.2× 49 0.3× 52 2.3k
Gabrielle E. Rieckhof United States 13 305 0.3× 1.3k 2.0× 249 1.3× 89 0.6× 52 0.4× 14 1.9k

Countries citing papers authored by M. Förster

Since Specialization
Citations

This map shows the geographic impact of M. 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 M. Förster with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M. Förster more than expected).

Fields of papers citing papers by M. Förster

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by M. 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 M. Förster. The network helps show where M. Förster may publish in the future.

Co-authorship network of co-authors of M. Förster

This figure shows the co-authorship network connecting the top 25 collaborators of M. Förster. A scholar is included among the top collaborators of M. 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 M. Förster. M. 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.
Lee, Siow Ming, Madeleine Hewish, Samreen Ahmed, et al.. (2024). Hydroxychloroquine in combination with platinum doublet chemotherapy as first-line treatment for extensive-stage small cell lung cancer (Study 15): A randomised phase II multicentre trial. European Journal of Cancer. 215. 115162–115162. 3 indexed citations
2.
Rothammer, Sophie, Doris Seichter, M. Förster, & Ivica Međugorac. (2013). A genome-wide scan for signatures of differential artificial selection in ten cattle breeds. BMC Genomics. 14(1). 908–908. 89 indexed citations
3.
Neuditschko, Markus, et al.. (2012). Genome-wide association mapping of milk production traits in Braunvieh cattle. Journal of Dairy Science. 95(9). 5357–5364. 29 indexed citations
4.
Förster, M., et al.. (2012). Use of magnetic resonance imaging to predict the body composition of pigs in vivo. animal. 7(6). 879–884. 17 indexed citations
6.
Međugorac, Ivica, Doris Seichter, Alexander Graf, et al.. (2012). Bovine Polledness – An Autosomal Dominant Trait with Allelic Heterogeneity. PLoS ONE. 7(6). e39477–e39477. 99 indexed citations
7.
Awad, Ashraf, Ingolf Ruß, M. Förster, & Ivica Međugorac. (2011). Mapping of a milk production quantitative trait locus to a 1.056 Mb region on bovine chromosome 5 in the Fleckvieh dual purpose cattle breed. Genetics Selection Evolution. 43(1). 8–8. 3 indexed citations
8.
Ivanković, Ante, et al.. (2010). Analysis of genetic and cultural conservation value of three indigenous Croatian cattle breeds in a local and global context. Journal of Animal Breeding and Genetics. 128(1). 73–84. 23 indexed citations
9.
Međugorac, Ivica, et al.. (2009). Genetic diversity of European cattle breeds highlights the conservation value of traditional unselected breeds with high effective population size. Molecular Ecology. 18(16). 3394–3410. 88 indexed citations
10.
Awad, Ashraf, et al.. (2009). Confirmation and refinement of a QTL on BTA5 affecting milk production traits in the Fleckvieh dual purpose cattle breed. Animal Genetics. 41(1). 1–11. 15 indexed citations
11.
Krebs, Stefan, Ivica Međugorac, Ingolf Ruß, et al.. (2006). Fine-mapping and candidate gene analysis of bovine spinal muscular atrophy. Mammalian Genome. 17(1). 67–76. 5 indexed citations
12.
Bennewitz, Jörn, N. Reinsch, Georg Thaller, et al.. (2006). Mapping of quantitative trait loci for lactation persistency traits in German Holstein dairy cattle. Journal of Animal Breeding and Genetics. 123(2). 89–96. 44 indexed citations
13.
Scholz, A., et al.. (2005). In vivo analysis of body composition and growth of calves of different genetic origin using dual energy x-ray absorptiometry (DXA). 48(5). 428–444. 1 indexed citations
14.
Međugorac, Ivica, Ingolf Ruß, Detlef Pietrowski, et al.. (2003). Mapping of the bovine spinal muscular atrophy locus to Chromosome 24. Mammalian Genome. 14(6). 383–391. 10 indexed citations
15.
Thomsen, Hauke, N. Reinsch, Ning Xu, et al.. (2002). Mapping of the bovine blood group systems J, N′, R′, and Z show evidence for oligo‐genetic inheritance. Animal Genetics. 33(2). 107–117. 3 indexed citations
16.
Li, Zhixiong, J. Düllmann, Bernd Schiedlmeier, et al.. (2002). Murine Leukemia Induced by Retroviral Gene Marking. Science. 296(5567). 497–497. 515 indexed citations breakdown →
17.
Thomsen, Hauke, N. Reinsch, Ning Xu, et al.. (2001). Comparison of estimated breeding values, daughter yield deviations and de‐regressed proofs within a whole genome scan for QTL. Journal of Animal Breeding and Genetics. 118(6). 357–370. 35 indexed citations
18.
Pietrowski, Detlef & M. Förster. (2000). Complete cDNA Sequence and Amino Acid Analysis of a Bovine Ribonuclease K6 Gene. DNA sequence. 11(3-4). 365–371. 1 indexed citations
19.
Pietrowski, Detlef, et al.. (1998). Description and physical localization of the bovine survival of motor neuron gene (SMN). Cytogenetic and Genome Research. 83(1-2). 39–42. 6 indexed citations
20.
Robbins, Lynn W., L. Gayle Littlefield, Shirley P. Colyer, et al.. (1981). Human cytogenetic nomenclature. Cytogenetic and Genome Research. 31(4). 193–193. 1 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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