Michael Staab

3.6k total citations · 1 hit paper
80 papers, 1.7k citations indexed

About

Michael Staab is a scholar working on Ecology, Evolution, Behavior and Systematics, Nature and Landscape Conservation and Genetics. According to data from OpenAlex, Michael Staab has authored 80 papers receiving a total of 1.7k indexed citations (citations by other indexed papers that have themselves been cited), including 59 papers in Ecology, Evolution, Behavior and Systematics, 46 papers in Nature and Landscape Conservation and 35 papers in Genetics. Recurrent topics in Michael Staab's work include Plant and animal studies (57 papers), Ecology and Vegetation Dynamics Studies (45 papers) and Insect and Arachnid Ecology and Behavior (34 papers). Michael Staab is often cited by papers focused on Plant and animal studies (57 papers), Ecology and Vegetation Dynamics Studies (45 papers) and Insect and Arachnid Ecology and Behavior (34 papers). Michael Staab collaborates with scholars based in Germany, China and Switzerland. Michael Staab's co-authors include Alexandra‐Maria Klein, Nico Blüthgen, Andreas Schuldt, Helge Bruelheide, Gesine Pufal, Keping Ma, Felix Fornoff, Wolfgang W. Weisser, Rafael Achury and Chao‐Dong Zhu and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Michael Staab

77 papers receiving 1.6k citations

Hit Papers

Tree species richness increases ecosystem carbon storage ... 2018 2026 2020 2023 2018 50 100 150 200

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michael Staab Germany 24 918 841 503 407 401 80 1.7k
Sascha Buchholz Germany 28 930 1.0× 855 1.0× 543 1.1× 335 0.8× 528 1.3× 84 2.0k
Jesús Aguirre‐Gutiérrez Netherlands 22 803 0.9× 653 0.8× 377 0.7× 273 0.7× 451 1.1× 42 1.8k
Jens Schirmel Germany 25 687 0.7× 768 0.9× 491 1.0× 151 0.4× 224 0.6× 68 1.4k
Nash E. Turley United States 16 685 0.7× 760 0.9× 273 0.5× 233 0.6× 279 0.7× 26 1.5k
Andreas Schuldt Germany 29 1.0k 1.1× 1.4k 1.7× 580 1.2× 252 0.6× 517 1.3× 86 2.1k
Katharine L. Stuble United States 20 613 0.7× 571 0.7× 154 0.3× 382 0.9× 224 0.6× 44 1.2k
Markus Franzén Sweden 25 1.2k 1.3× 957 1.1× 429 0.9× 386 0.9× 258 0.6× 86 1.8k
Hannah M. Griffiths United Kingdom 15 553 0.6× 464 0.6× 222 0.4× 360 0.9× 219 0.5× 21 1.2k
T. Erwin United States 6 636 0.7× 784 0.9× 285 0.6× 234 0.6× 354 0.9× 6 1.4k
Vesna Gagić Australia 22 1.1k 1.2× 575 0.7× 1.0k 2.0× 238 0.6× 252 0.6× 34 2.0k

Countries citing papers authored by Michael Staab

Since Specialization
Citations

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

Fields of papers citing papers by Michael Staab

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Staab

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Staab. A scholar is included among the top collaborators of Michael Staab 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 Michael Staab. Michael Staab 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.
Staab, Michael, Nadja K. Simons, Konstans Wells, et al.. (2024). The day after mowing: Time and type of mowing influence grassland arthropods. Ecological Applications. 34(6). e3022–e3022. 9 indexed citations
2.
Staab, Michael, et al.. (2024). Forest structure and heterogeneity increase diversity and alter composition of host–parasitoid networks. Ecological Entomology. 49(2). 257–271. 3 indexed citations
3.
Staab, Michael, et al.. (2024). Assessing mowing intensity: A new index incorporating frequency, type of machinery, and technique. SHILAP Revista de lepidopterología. 3(3). 264–274. 3 indexed citations
4.
Segelbacher, Gernot, et al.. (2023). Gauging DNA degradation among common insect trap preservatives. Entomologia Experimentalis et Applicata. 171(3). 218–226. 1 indexed citations
5.
Schuldt, Andreas, Xiaojuan Liu, François Buscot, et al.. (2023). Carbon–biodiversity relationships in a highly diverse subtropical forest. Global Change Biology. 29(18). 5321–5333. 27 indexed citations
6.
Staab, Michael, et al.. (2023). Leaf litter arthropods show little response to structural retention in a Central European forest. Biodiversity and Conservation. 32(12). 3973–3990. 1 indexed citations
7.
Staab, Michael, Martin M. Goßner, Nadja K. Simons, et al.. (2023). Insect decline in forests depends on species’ traits and may be mitigated by management. Communications Biology. 6(1). 338–338. 43 indexed citations
8.
Liu, Xiaojuan, Yuanyuan Huang, Lei Chen, et al.. (2022). Species richness, functional traits and climate interactively affect tree survival in a large forest biodiversity experiment. Journal of Ecology. 110(10). 2522–2531. 16 indexed citations
9.
Staab, Michael, Rafael Achury, Christian Ammer, et al.. (2022). Negative effects of forest gaps on dung removal in a full‐factorial experiment. Journal of Animal Ecology. 91(10). 2113–2124. 10 indexed citations
10.
Neff, Felix, Jonas Hagge, Rafael Achury, et al.. (2022). Hierarchical trait filtering at different spatial scales determines beetle assemblages in deadwood. Functional Ecology. 36(12). 2929–2942. 8 indexed citations
11.
Staab, Michael, et al.. (2022). Multiple forest structural elements are needed to promote beetle biomass, diversity and abundance. Forest Ecosystems. 9. 100056–100056. 19 indexed citations
12.
Bruelheide, Helge, Andreas Fichtner, Andreas Schuldt, et al.. (2021). What shapes ground beetle assemblages in a tree species-rich subtropical forest?. ZooKeys. 1044. 907–927. 3 indexed citations
13.
Staab, Michael, Xiaojuan Liu, Thorsten Aßmann, et al.. (2020). Tree phylogenetic diversity structures multitrophic communities. Functional Ecology. 35(2). 521–534. 29 indexed citations
14.
Bruelheide, Helge, Werner Härdtle, Goddert von Oheimb, et al.. (2019). A tale of scale: Plot but not neighbourhood tree diversity increases leaf litter ant diversity. Journal of Animal Ecology. 89(2). 299–308. 21 indexed citations
15.
Knuff, Anna K., et al.. (2019). Plant composition, not richness, drives occurrence of specialist herbivores. Ecological Entomology. 44(6). 833–843. 11 indexed citations
16.
Klein, Alexandra‐Maria, et al.. (2019). Benchmarking nesting aids for cavity-nesting bees and wasps. Biodiversity and Conservation. 28(14). 3831–3849. 19 indexed citations
18.
Konold, Werner, et al.. (2018). Simple pond restoration measures increase dragonfly (Insecta: Odonata) diversity. Biodiversity and Conservation. 27(9). 2311–2328. 28 indexed citations
19.
Staab, Michael, Gesine Pufal, Teja Tscharntke, & Alexandra‐Maria Klein. (2018). Trap nests for bees and wasps to analyse trophic interactions in changing environments—A systematic overview and user guide. Methods in Ecology and Evolution. 9(11). 2226–2239. 81 indexed citations
20.
Klein, Alexandra‐Maria, et al.. (2017). Tree genetic diversity increases arthropod diversity in willow short rotation coppice. Biomass and Bioenergy. 108. 338–344. 11 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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