Markus Müller
Impact in
- Horticulture top 10%
-
- Ecology and Vegetation Dynamics Studies
- Forest ecology and management
Papers in
- Genetics 23
- Genetic diversity and population structure 21
- Genetic and phenotypic traits in livestock 4
-
- Yeasts and Rust Fungi Studies 7
- Co-authors
- Oliver Gailing (28 shared papers)Reiner Finkeldey (14 shared papers)Konstantin V. Krutovsky (13 shared papers)Sarah Seifert (4 shared papers)Christoph Leuschner (3 shared papers)Matthias Arend (3 shared papers)Ludger Leinemann (7 shared papers)Christoph Sperisen (2 shared papers)
- Journals
- Silvae genetica (5 papers)Tree Genetics & Genomes (5 papers)Forests (5 papers)European Journal of Forest Research (4 papers)Diversity (3 papers)
- Partner nations
- GermanyUnited StatesRussia
In The Last Decade
Markus Müller
37 papers receiving 446 citations
Peers
Comparison fields: 5 of 48
- Horticulture 14
- Nature and Landscape Conservation 146
- Ecological Modeling 40
- Endocrinology 28
- Genetics 145
Countries citing papers authored by Markus Müller
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
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-authors
The 25 scholars most cited alongside Markus Müller, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 44 | |
| 2 | 2018 | 31 | |
| 3 | 2017 | 26 | |
| 4 | 2019 | 24 | |
| 5 | 2015 | 23 | |
| 6 | 2020 | 22 | |
| 7 | 2021 | 21 | |
| 8 | 2020 | 19 | |
| 9 | 2019 | 19 | |
| 10 | 2021 | 16 | |
| 11 | 2019 | 15 | |
| 12 | 2018 | 14 | |
| 13 | 2016 | 13 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 12 | |
| 16 | 2017 | 12 | |
| 17 | 2020 | 11 | |
| 18 | 2019 | 11 | |
| 19 | 2023 | 9 | |
| 20 | 2018 | 9 |
About Markus Müller
Markus Müller is a scholar working on Genetics, Molecular Biology, Plant Science, Nature and Landscape Conservation and Ecology, having authored 39 papers that have together received 452 indexed citations. Recurring topics across this work include Genetic diversity and population structure (21 papers), Forest Insect Ecology and Management (9 papers), Yeasts and Rust Fungi Studies (7 papers), Forest ecology and management (7 papers), Plant Pathogens and Fungal Diseases (5 papers), Plant Water Relations and Carbon Dynamics (4 papers), Tree-ring climate responses (4 papers) and Genetic and phenotypic traits in livestock (4 papers). The work is most often cited by research in Horticulture (14 citations), Nature and Landscape Conservation (146 citations), Ecological Modeling (40 citations), Endocrinology (28 citations) and Genetics (145 citations). Markus Müller has collaborated with scholars based in Germany, United States and Russia. Frequent co-authors include Oliver Gailing, Reiner Finkeldey, Konstantin V. Krutovsky, Sarah Seifert, Christoph Leuschner, Matthias Arend, Ludger Leinemann, Christoph Sperisen, Barbara Vornam and Florian Knutzen. Their work appears in journals such as Silvae genetica, Tree Genetics & Genomes, Forests, European Journal of Forest Research and Diversity.
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.