Markus Müller

616 total citations
39 papers, 422 citations indexed

About

Markus Müller is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Markus Müller has authored 39 papers receiving a total of 422 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Genetics, 17 papers in Molecular Biology and 13 papers in Plant Science. Recurrent topics in Markus Müller's work include Genetic diversity and population structure (21 papers), Forest Insect Ecology and Management (10 papers) and Yeasts and Rust Fungi Studies (8 papers). Markus Müller is often cited by papers focused on Genetic diversity and population structure (21 papers), Forest Insect Ecology and Management (10 papers) and Yeasts and Rust Fungi Studies (8 papers). Markus Müller collaborates with scholars based in Germany, Russia and United States. Markus Müller's co-authors include Oliver Gailing, Reiner Finkeldey, Konstantin V. Krutovsky, Sarah Seifert, Christoph Leuschner, Ludger Leinemann, Matthias Arend, Christoph Sperisen, Barbara Vornam and Torben Lübbe and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Markus Müller

38 papers receiving 415 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Markus Müller Germany 13 165 139 136 111 86 39 422
Fulvio Ducci Italy 11 130 0.8× 113 0.8× 103 0.8× 88 0.8× 81 0.9× 46 343
Elena Mosca Italy 13 160 1.0× 145 1.0× 216 1.6× 71 0.6× 67 0.8× 16 443
Jérémy Derory France 9 266 1.6× 110 0.8× 193 1.4× 147 1.3× 79 0.9× 11 521
Andreas D. Drouzas Greece 13 168 1.0× 102 0.7× 154 1.1× 143 1.3× 115 1.3× 28 459
Aristotelis C. Papageorgiou Greece 13 163 1.0× 129 0.9× 99 0.7× 108 1.0× 63 0.7× 36 403
Toshio Katsuki Japan 12 233 1.4× 106 0.8× 102 0.8× 149 1.3× 79 0.9× 33 476
Santiago Espinel Spain 9 214 1.3× 103 0.7× 118 0.9× 90 0.8× 64 0.7× 13 409
Virgilijus Baliuckas Lithuania 11 165 1.0× 108 0.8× 67 0.5× 69 0.6× 63 0.7× 55 362
Karolina Sobierajska Poland 13 208 1.3× 91 0.7× 91 0.7× 60 0.5× 74 0.9× 20 371
J. Kleinschmit Germany 11 241 1.5× 139 1.0× 101 0.7× 74 0.7× 60 0.7× 27 416

Countries citing papers authored by Markus Müller

Since Specialization
Citations

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

Fields of papers citing papers by Markus Müller

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Markus Müller

This figure shows the co-authorship network connecting the top 25 collaborators of Markus Müller. A scholar is included among the top collaborators of Markus Müller 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 Markus Müller. Markus Müller 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
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Müller, Markus, Christoph Leuschner, Robert Weigel, et al.. (2024). A genome‐wide genetic association study reveals SNPs significantly associated with environmental variables and specific leaf area in European beech. Physiologia Plantarum. 176(3). e14334–e14334. 2 indexed citations
4.
Budde, Katharina B., et al.. (2023). Bidirectional gene flow between Fagus sylvatica L. and F. orientalis Lipsky despite strong genetic divergence. Forest Ecology and Management. 537. 120947–120947. 7 indexed citations
5.
Müller, Markus, Ursula Kües, Katharina B. Budde, & Oliver Gailing. (2023). Applying molecular and genetic methods to trees and their fungal communities. Applied Microbiology and Biotechnology. 107(9). 2783–2830. 6 indexed citations
6.
Müller, Markus, et al.. (2022). Genotyping by sequencing reveals lack of local genetic structure between two German <i>Ips typographus</i> L. populations. SHILAP Revista de lepidopterología. 2(1). 0–0. 4 indexed citations
7.
Arend, Matthias, et al.. (2021). A candidate gene association analysis identifies SNPs potentially involved in drought tolerance in European beech (Fagus sylvatica L.). Scientific Reports. 11(1). 2386–2386. 19 indexed citations
8.
Pietro, Romeo Di, Piera Di Marzio, Paola Fortini, et al.. (2020). Does the genetic diversity among pubescent white oaks in southern Italy, Sicily and Sardinia islands support the current taxonomic classification?. European Journal of Forest Research. 140(2). 355–371. 22 indexed citations
9.
Krutovsky, Konstantin V., et al.. (2020). Chloroplast Haplotypes of Northern Red Oak (Quercus rubra L.) Stands in Germany Suggest Their Origin from Northeastern Canada. Forests. 11(9). 1025–1025. 7 indexed citations
10.
Finkeldey, Reiner, Markus Müller, Konstantin V. Krutovsky, et al.. (2020). Development of novel Quercus rubra chloroplast genome CAPS markers for haplotype identification. Silvae genetica. 69(1). 78–85. 6 indexed citations
11.
Müller, Markus & Oliver Gailing. (2019). Abiotic genetic adaptation in the Fagaceae. Plant Biology. 21(5). 783–795. 20 indexed citations
12.
Müller, Markus, C. Dana Nelson, & Oliver Gailing. (2018). Analysis of Environment-Marker Associations in American Chestnut. Forests. 9(11). 695–695. 10 indexed citations
13.
Müller, Markus, Sarah Seifert, Torben Lübbe, Christoph Leuschner, & Reiner Finkeldey. (2017). De novo transcriptome assembly and analysis of differential gene expression in response to drought in European beech. PLoS ONE. 12(9). e0184167–e0184167. 25 indexed citations
14.
Müller, Markus, Sarah Seifert, & Reiner Finkeldey. (2017). Comparison and confirmation of SNP-bud burst associations in European beech populations in Germany. Tree Genetics & Genomes. 13(3). 10 indexed citations
15.
Giordani, Edgardo, et al.. (2016). Genetic and morphological analysis of Berberis microphylla G. Forst. accessions in southern Tierra del Fuego. Plant Biosystems - An International Journal Dealing with all Aspects of Plant Biology. 151(4). 715–728. 8 indexed citations
16.
Müller, Markus, Stefan Seifert, & Reiner Finkeldey. (2015). Identification of SNPs in candidate genes potentially involved in bud burst in European beech (Fagus sylvatica L.). Silvae genetica. 64(1-6). 1–20. 8 indexed citations
17.
Müller, Markus, Sarah Seifert, & Reiner Finkeldey. (2015). A candidate gene-based association study reveals SNPs significantly associated with bud burst in European beech (Fagus sylvatica L.). Tree Genetics & Genomes. 11(6). 21 indexed citations
18.
Knutzen, Florian, Ina C. Meier, Markus Müller, et al.. (2014). Intra-specific variations in expression of stress-related genes in beech progenies are stronger than drought-induced responses. Tree Physiology. 34(12). 1348–1361. 42 indexed citations
19.
Müller, Markus, Jürg Schlegel, & Bertil Krüsi. (2012). Der Libellen-Schmetterlingshaft Libelloides coccajus (Neuropterida: Neuroptera: Ascalaphidae) im Kanton Aargau: aktuelles Vorkommen und Empfehlungen zum Artenschutz. Mitteilungen der Schweizerischen entomologischen Gesellschaft = Bulletin de la Société entomologique suisse. 85. 177–199. 1 indexed citations
20.
Beier, M., Matthias Scheffler, Anke Wixmerten, et al.. (2003). Geniom® Technology—The Benchtop Array Facility. Nucleosides Nucleotides & Nucleic Acids. 22(5-8). 1721–1723. 6 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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