Georg Mayer

5.5k total citations
109 papers, 2.7k citations indexed

About

Georg Mayer is a scholar working on Ecology, Evolution, Behavior and Systematics, Molecular Biology and Paleontology. According to data from OpenAlex, Georg Mayer has authored 109 papers receiving a total of 2.7k indexed citations (citations by other indexed papers that have themselves been cited), including 83 papers in Ecology, Evolution, Behavior and Systematics, 36 papers in Molecular Biology and 25 papers in Paleontology. Recurrent topics in Georg Mayer's work include Tardigrade Biology and Ecology (80 papers), Biocrusts and Microbial Ecology (54 papers) and Protist diversity and phylogeny (31 papers). Georg Mayer is often cited by papers focused on Tardigrade Biology and Ecology (80 papers), Biocrusts and Microbial Ecology (54 papers) and Protist diversity and phylogeny (31 papers). Georg Mayer collaborates with scholars based in Germany, Australia and United States. Georg Mayer's co-authors include Ivo de Sena Oliveira, Paul M. Whitington, Lars Hering, Vladimir Gross, Alexander B. Baer, Savel R. Daniels, Christine Martin, Steffen Harzsch, Paul A. Stevenson and Lars Podsiadłowski and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Georg Mayer

105 papers receiving 2.6k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Georg Mayer Germany 33 1.7k 867 671 512 317 109 2.7k
Andreas Schmidt‐Rhaesa Germany 17 728 0.4× 817 0.9× 854 1.3× 755 1.5× 189 0.6× 77 2.4k
James M. Turbeville United States 17 474 0.3× 1.2k 1.4× 416 0.6× 726 1.4× 213 0.7× 33 2.5k
William E. Browne United States 20 500 0.3× 1.4k 1.6× 895 1.3× 505 1.0× 210 0.7× 35 2.6k
Andreas Wanninger Austria 35 1.2k 0.7× 770 0.9× 908 1.4× 928 1.8× 582 1.8× 138 3.4k
Oleg Simakov Austria 26 580 0.3× 1.7k 1.9× 601 0.9× 868 1.7× 346 1.1× 62 3.3k
David Q. Matus United States 25 464 0.3× 1.9k 2.2× 1.5k 2.2× 449 0.9× 225 0.7× 49 3.6k
Matthias Obst Sweden 20 551 0.3× 1.2k 1.4× 1.1k 1.7× 855 1.7× 133 0.4× 47 2.9k
Wallace Arthur United Kingdom 26 623 0.4× 619 0.7× 456 0.7× 413 0.8× 135 0.4× 93 2.4k
Frederick W. Harrison United States 18 703 0.4× 821 0.9× 560 0.8× 1.2k 2.3× 340 1.1× 57 3.3k
Akiko Okusu United States 14 524 0.3× 777 0.9× 762 1.1× 480 0.9× 102 0.3× 15 2.1k

Countries citing papers authored by Georg Mayer

Since Specialization
Citations

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

Fields of papers citing papers by Georg Mayer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Georg Mayer

This figure shows the co-authorship network connecting the top 25 collaborators of Georg Mayer. A scholar is included among the top collaborators of Georg Mayer 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 Georg Mayer. Georg Mayer 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.
Hering, Lars, Vladimir Gross, Kazuharu Arakawa, et al.. (2025). Pigment-dispersing factor neuropeptides act as multifunctional hormones and modulators in tardigrades. Open Biology. 15(3). 240242–240242.
2.
Brown, Federico D., Georg Mayer, Natalia Pabón‐Mora, et al.. (2024). Uncovering developmental diversity in the field. Development. 151(20).
3.
Baer, Alexander B., Frédéric Mentink‐Vigier, Alexandre A. Arnold, et al.. (2023). Peculiar Phosphonate Modifications of Velvet Worm Slime Revealed by Advanced Nuclear Magnetic Resonance and Mass Spectrometry. Journal of the American Chemical Society. 145(38). 20749–20754. 6 indexed citations
4.
Baer, Alexander B., Ingo Hoffmann, Najet Mahmoudi, et al.. (2023). The Internal Structure of the Velvet Worm Projectile Slime: A Small‐Angle Scattering Study. Small. 19(22). e2300516–e2300516. 5 indexed citations
5.
Ou, Qiang, Degan Shu, Zhifei Zhang, et al.. (2021). Dawn of complex animal food webs: A new predatory anthozoan (Cnidaria) from Cambrian. The Innovation. 3(1). 100195–100195. 17 indexed citations
6.
Ou, Qiang, Jean Vannier, Ailin Chen, et al.. (2020). Evolutionary trade-off in reproduction of Cambrian arthropods. Science Advances. 6(18). eaaz3376–eaaz3376. 21 indexed citations
7.
Baer, Alexander B., Nils Horbelt, Marlies Nijemeisland, et al.. (2019). Shear-Induced β-Crystallite Unfolding in Condensed Phase Nanodroplets Promotes Fiber Formation in a Biological Adhesive. ACS Nano. 13(5). 4992–5001. 30 indexed citations
8.
9.
Smolka, Jochen, et al.. (2018). Low resolution vision in a velvet worm (Onychophora). Journal of Experimental Biology. 221(Pt 11). 8 indexed citations
10.
Baer, Alexander B., Sebastian Hänsch, Georg Mayer, Matthew J. Harrington, & Stephan Schmidt. (2018). Reversible Supramolecular Assembly of Velvet Worm Adhesive Fibers via Electrostatic Interactions of Charged Phosphoproteins. Biomacromolecules. 19(10). 4034–4043. 31 indexed citations
11.
Müller, Mark, Ivo de Sena Oliveira, Sebastian Allner, et al.. (2017). Myoanatomy of the velvet worm leg revealed by laboratory-based nanofocus X-ray source tomography. Proceedings of the National Academy of Sciences. 114(47). 12378–12383. 47 indexed citations
12.
Dowling, Daniel, Malte Petersen, Karen Meusemann, et al.. (2016). Transcriptomic data from panarthropods shed new light on the evolution of insulator binding proteins in insects. BMC Genomics. 17(1). 861–861. 13 indexed citations
13.
Hering, Lars, et al.. (2016). Novel origin of lamin-derived cytoplasmic intermediate filaments in tardigrades. eLife. 5. e11117–e11117. 20 indexed citations
14.
Martin, Christine & Georg Mayer. (2015). Insights into the segmental identity of post-oral commissures and pharyngeal nerves in Onychophora based on retrograde fills. BMC Neuroscience. 16(1). 53–53. 10 indexed citations
15.
Hering, Lars & Georg Mayer. (2014). Analysis of the Opsin Repertoire in the Tardigrade Hypsibius dujardini Provides Insights into the Evolution of Opsin Genes in Panarthropoda. Genome Biology and Evolution. 6(9). 2380–2391. 50 indexed citations
16.
Oliveira, Ivo de Sena, Carsten Lüter, Klaus Wolf, & Georg Mayer. (2014). Evolutionary changes in the integument of the onychophoranPlicatoperipatus jamaicensis(Peripatidae). Invertebrate Biology. 133(3). 274–280. 4 indexed citations
17.
Braband, Anke, Lars Podsiadłowski, Stephen L. Cameron, Savel R. Daniels, & Georg Mayer. (2010). Extensive duplication events account for multiple control regions and pseudo-genes in the mitochondrial genome of the velvet worm Metaperipatus inae (Onychophora, Peripatopsidae). Molecular Phylogenetics and Evolution. 57(1). 293–300. 23 indexed citations
18.
Mayer, Georg & Paul M. Whitington. (2009). Velvet worm development links myriapods with chelicerates. Proceedings of the Royal Society B Biological Sciences. 276(1673). 3571–3579. 63 indexed citations
19.
20.
Mayer, Georg, et al.. (1955). Nidation retardée par brûlure chez la ratte.. Comptes rendus hebdomadaires des séances de l Académie des sciences. 240(11). 3 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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