Michaela Preick
Impact in
- Ecological Modeling top 10%
- Species Distribution and Climate Change
- Paleontology top 10%
Papers in
- Genetics 21
- Genetic diversity and population structure 13
- Forensic and Genetic Research 5
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- Genomics and Phylogenetic Studies 12
- Identification and Quantification in Food 6
- Co-authors
- Michael Hofreiter (26 shared papers)Nicolas Straube (7 shared papers)Axel Barlow (13 shared papers)Johanna L. A. Paijmans (8 shared papers)Michael V. Westbury (5 shared papers)Mariana L. Lyra (3 shared papers)Guilian Sheng (7 shared papers)Célio F. B. Haddad (1 shared paper)
- Journals
- Genes (3 papers)Frontiers in Ecology and Evolution (2 papers)Vertebrate Zoology (2 papers)PLoS ONE (2 papers)Current Biology (2 papers)
- Partner nations
- GermanyUnited StatesUnited Kingdom
In The Last Decade
Michaela Preick
28 papers receiving 322 citations
Peers
Comparison fields: 5 of 51
- Ecological Modeling 36
- Paleontology 52
- Genetics 153
- Ecology 127
- Anthropology 33
Countries citing papers authored by Michaela Preick
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
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-authors
The 25 scholars most cited alongside Michaela Preick, 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 31 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 63 | |
| 2 | 2020 | 34 | |
| 3 | 2018 | 28 | |
| 4 | 2020 | 25 | |
| 5 | 2020 | 22 | |
| 6 | 2019 | 18 | |
| 7 | 2022 | 14 | |
| 8 | 2022 | 14 | |
| 9 | 2019 | 13 | |
| 10 | 2021 | 10 | |
| 11 | 2020 | 9 | |
| 12 | 2020 | 9 | |
| 13 | 2022 | 9 | |
| 14 | 2022 | 9 | |
| 15 | 2022 | 8 | |
| 16 | 2020 | 6 | |
| 17 | 2021 | 6 | |
| 18 | 2022 | 4 | |
| 19 | 2021 | 4 | |
| 20 | 2023 | 4 |
About Michaela Preick
Michaela Preick is a scholar working on Genetics, Molecular Biology, Ecology, Global and Planetary Change and Nature and Landscape Conservation, having authored 31 papers that have together received 327 indexed citations. Recurring topics across this work include Genetic diversity and population structure (13 papers), Genomics and Phylogenetic Studies (12 papers), Identification and Quantification in Food (6 papers), Forensic and Genetic Research (5 papers), Amphibian and Reptile Biology (5 papers), Wildlife Ecology and Conservation (4 papers), Environmental DNA in Biodiversity Studies (4 papers) and Animal Diversity and Health Studies (3 papers). The work is most often cited by research in Ecological Modeling (36 citations), Paleontology (52 citations), Genetics (153 citations), Ecology (127 citations) and Anthropology (33 citations). Michaela Preick has collaborated with scholars based in Germany, United States and United Kingdom. Frequent co-authors include Michael Hofreiter, Nicolas Straube, Axel Barlow, Johanna L. A. Paijmans, Michael V. Westbury, Mariana L. Lyra, Guilian Sheng, Célio F. B. Haddad, Mark‐Oliver Rödel and Johannes Penner. Their work appears in journals such as Genes, Frontiers in Ecology and Evolution, Vertebrate Zoology, PLoS ONE and Current Biology.
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.