Michaela Preick

570 total citations
30 papers, 298 citations indexed

About

Michaela Preick is a scholar working on Genetics, Molecular Biology and Ecology. According to data from OpenAlex, Michaela Preick has authored 30 papers receiving a total of 298 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Genetics, 19 papers in Molecular Biology and 8 papers in Ecology. Recurrent topics in Michaela Preick's work include Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (12 papers) and Identification and Quantification in Food (7 papers). Michaela Preick is often cited by papers focused on Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (12 papers) and Identification and Quantification in Food (7 papers). Michaela Preick collaborates with scholars based in Germany, United States and United Kingdom. Michaela Preick's co-authors include Michael Hofreiter, Axel Barlow, Nicolas Straube, Johanna L. A. Paijmans, Michael V. Westbury, Mariana L. Lyra, Johannes Penner, Célio F. B. Haddad, Mark‐Oliver Rödel and Guilian Sheng and has published in prestigious journals such as PLoS ONE, Current Biology and Scientific Reports.

In The Last Decade

Michaela Preick

27 papers receiving 293 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Michaela Preick Germany 9 140 124 113 50 48 30 298
Karis Baker United Kingdom 10 101 0.7× 101 0.8× 49 0.4× 61 1.2× 36 0.8× 14 224
Masaki Eda Japan 13 166 1.2× 173 1.4× 94 0.8× 74 1.5× 14 0.3× 40 398
Eva L. Koch United Kingdom 10 117 0.8× 141 1.1× 56 0.5× 132 2.6× 31 0.6× 16 349
Patrícia Pečnerová Sweden 12 168 1.2× 152 1.2× 93 0.8× 91 1.8× 8 0.2× 25 315
Alba Rey‐Iglesia Denmark 10 109 0.8× 138 1.1× 51 0.5× 72 1.4× 10 0.2× 29 290
Emil Karpinski Canada 8 52 0.4× 96 0.8× 58 0.5× 123 2.5× 11 0.2× 10 252
Peter Gravlund Denmark 11 176 1.3× 139 1.1× 128 1.1× 35 0.7× 123 2.6× 17 369
Johanna von Seth Sweden 11 169 1.2× 102 0.8× 72 0.6× 43 0.9× 5 0.1× 16 238
Peter Mortensen Sweden 8 61 0.4× 256 2.1× 163 1.4× 21 0.4× 24 0.5× 9 307
Isabelle Papadopoulos South Africa 11 197 1.4× 248 2.0× 75 0.7× 20 0.4× 147 3.1× 15 404

Countries citing papers authored by Michaela Preick

Since Specialization
Citations

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

Fields of papers citing papers by Michaela Preick

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michaela Preick

This figure shows the co-authorship network connecting the top 25 collaborators of Michaela Preick. A scholar is included among the top collaborators of Michaela Preick 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 Michaela Preick. Michaela Preick 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.
Karbstein, Kevin, Ting Xie, Salvatore Tomasello, et al.. (2025). Assembling genomes of non‐model plants: A case study with evolutionary insights from Ranunculus (Ranunculaceae). The Plant Journal. 123(6). e70390–e70390. 1 indexed citations
2.
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Vences, Miguel, Sten Anslan, Joana Sabino‐Pinto, et al.. (2024). Dataset from RNAseq analysis of differential gene expression among developmental stages of two non-marine ostracodes. Data in Brief. 53. 110070–110070.
4.
5.
Preick, Michaela, et al.. (2023). Large variance in inbreeding within the Iberian wolf population. Journal of Heredity. 115(4). 349–359. 4 indexed citations
6.
Preick, Michaela, et al.. (2022). Loss of Mitochondrial Genetic Diversity despite Population Growth: The Legacy of Past Wolf Population Declines. Genes. 14(1). 75–75. 8 indexed citations
7.
Zhao, Jian, Hucai Zhang, Michaela Preick, et al.. (2022). Paleogenomes Reveal a Complex Evolutionary History of Late Pleistocene Bison in Northeastern China. Genes. 13(10). 1684–1684. 2 indexed citations
8.
Ekins, Merrick, Michael Hofreiter, Michaela Preick, et al.. (2022). Keratose sponge MuseOMICS: setting reference points in dictyoceratid demosponge phylogeny. Zootaxa. 5195(3). 296–300. 4 indexed citations
9.
Blažytė, Asta, Pavel Dobrynin, David A. Duchêne, et al.. (2022). Multiple types of genomic variation contribute to adaptive traits in the mustelid subfamily Guloninae. Molecular Ecology. 31(10). 2898–2919. 7 indexed citations
10.
Naylor, Gavin J. P., Michaela Preick, Lei Yang, et al.. (2022). Taxonomic Identification of Two Poorly Known Lantern Shark Species Based on Mitochondrial DNA From Wet-Collection Paratypes. Frontiers in Ecology and Evolution. 10. 12 indexed citations
11.
Wang, Linying, Guilian Sheng, Michaela Preick, et al.. (2021). Ancient Mitogenomes Provide New Insights into the Origin and Early Introduction of Chinese Domestic Donkeys. Frontiers in Genetics. 12. 759831–759831. 4 indexed citations
12.
Straube, Nicolas, Michaela Preick, Gavin J. P. Naylor, & Michael Hofreiter. (2021). Mitochondrial DNA sequencing of a wet-collection syntype demonstrates the importance of type material as genetic resource for lantern shark taxonomy (Chondrichthyes: Etmopteridae). Royal Society Open Science. 8(9). 210474–210474. 8 indexed citations
13.
Sheng, Guilian, Michaela Preick, Boyang Sun, et al.. (2020). Mitochondrial genomes of Late Pleistocene caballine horses from China belong to a separate clade. Quaternary Science Reviews. 250. 106691–106691. 8 indexed citations
14.
Rancilhac, Loïs, Mark D. Scherz, Michaela Preick, et al.. (2020). Target-enriched DNA sequencing from historical type material enables a partial revision of the Madagascar giant stream frogs (genus Mantidactylus). Journal of Natural History. 54(1-4). 87–118. 24 indexed citations
15.
Haruda, Ashleigh, Alicia Ventresca Miller, Johanna L. A. Paijmans, et al.. (2020). The earliest domestic cat on the Silk Road. Scientific Reports. 10(1). 11241–11241. 8 indexed citations
16.
Hartmann, Stefanie, et al.. (2020). Annotated genome sequences of the carnivorous plant Roridula gorgonias and a non-carnivorous relative, Clethra arborea. BMC Research Notes. 13(1). 426–426. 6 indexed citations
17.
Scherz, Mark D., Jörn Köhler, Loïs Rancilhac, et al.. (2020). ‘Barcode fishing’ for archival DNA from historical type material overcomes taxonomic hurdles, enabling the description of a new frog species. Scientific Reports. 10(1). 19109–19109. 21 indexed citations
18.
Barlow, Axel, Michaela Preick, Federica Alberti, et al.. (2019). Molecular identification of late and terminal Pleistocene Equus ovodovi from northeastern China. PLoS ONE. 14(5). e0216883–e0216883. 12 indexed citations
19.
Sheng, Guilian, Johanna L. A. Paijmans, Federica Alberti, et al.. (2019). Paleogenome Reveals Genetic Contribution of Extinct Giant Panda to Extant Populations. Current Biology. 29(10). 1695–1700.e6. 17 indexed citations
20.
Alberti, Federica, Javier González, Johanna L. A. Paijmans, et al.. (2018). Optimized DNA sampling of ancient bones using Computed Tomography scans. Molecular Ecology Resources. 18(6). 1196–1208. 26 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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