Annika Tiesmeyer
Impact in
-
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Human-Animal Interaction Studies
- Ecology top 10%
- Wildlife Ecology and Conservation
- Environmental DNA in Biodiversity Studies
- Animal Ecology and Behavior Studies
Papers in
- Co-authors
- Carsten Nowak (9 shared papers)Violeta Muñoz‐Fuentes (3 shared papers)Berardino Cocchiararo (2 shared papers)Katharina Steyer (4 shared papers)Alexandros A. Karamanlidis (1 shared paper)Tobias Erik Reiners (3 shared papers)Andrew C. Kitchener (1 shared paper)Leslie A. Lyons (1 shared paper)
- Journals
- Ecology and Evolution (2 papers)European Journal of Wildlife Research (1 paper)Wildlife Biology (1 paper)Molecular Ecology Resources (1 paper)Scientific Reports (1 paper)
- Partner nations
- GermanyUnited KingdomBelgium
In The Last Decade
Annika Tiesmeyer
9 papers receiving 208 citations
Peers
Comparison fields: 5 of 39
- Genetics 143
- Ecology 135
- Ecological Modeling 15
- Nature and Landscape Conservation 19
- Small Animals 8
Countries citing papers authored by Annika Tiesmeyer
This map shows the geographic impact of Annika Tiesmeyer'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 Annika Tiesmeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Annika Tiesmeyer more than expected).
Fields of papers citing papers by Annika Tiesmeyer
This network shows the impact of papers produced by Annika Tiesmeyer. 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 Annika Tiesmeyer. The network helps show where Annika Tiesmeyer may publish in the future.
Co-authors
The 18 scholars most cited alongside Annika Tiesmeyer, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 67 | |
| 2 | 2017 | 66 | |
| 3 | 2018 | 28 | |
| 4 | 2017 | 16 | |
| 5 | 2021 | 15 | |
| 6 | 2020 | 10 | |
| 7 | 2017 | 4 | |
| 8 | 2018 | 3 | |
| 9 | 2018 | 2 |
About Annika Tiesmeyer
Annika Tiesmeyer is a scholar working on Ecology, Genetics, Molecular Biology, Insect Science and Nature and Landscape Conservation, having authored 9 papers that have together received 211 indexed citations. Recurring topics across this work include Wildlife Ecology and Conservation (6 papers), Genetic diversity and population structure (5 papers), Animal Ecology and Behavior Studies (3 papers), Genetic and phenotypic traits in livestock (3 papers), Forest Ecology and Biodiversity Studies (2 papers), Human-Animal Interaction Studies (1 paper), Wildlife-Road Interactions and Conservation (1 paper) and Identification and Quantification in Food (1 paper). The work is most often cited by research in Genetics (143 citations), Ecology (135 citations), Ecological Modeling (15 citations), Nature and Landscape Conservation (19 citations) and Small Animals (8 citations). Annika Tiesmeyer has collaborated with scholars based in Germany, United Kingdom and Belgium. Frequent co-authors include Carsten Nowak, Violeta Muñoz‐Fuentes, Berardino Cocchiararo, Katharina Steyer, Alexandros A. Karamanlidis, Tobias Erik Reiners, Andrew C. Kitchener, Leslie A. Lyons, Federica Mattucci and José Galián. Their work appears in journals such as Ecology and Evolution, European Journal of Wildlife Research, Wildlife Biology, Molecular Ecology Resources and Scientific Reports.
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.