Jonas Meisner
Impact in
- Genetics top 5%
- Genetic diversity and population structure
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Ecological Modeling top 10%
Papers in
- Co-authors
- Anders Albrechtsen (8 shared papers)Kristian Hanghøj (2 shared papers)Teodoro Cardi (1 shared paper)Pasquale Tripodi (1 shared paper)Angelo M. Facchiano (1 shared paper)SiYang Maggie Liu (1 shared paper)Erik P. Garrison (1 shared paper)Vincenza Colonna (1 shared paper)
- Journals
- Nature Communications (4 papers)Molecular Ecology Resources (2 papers)Current Biology (2 papers)BMC Bioinformatics (1 paper)Nature Genetics (1 paper)
- Partner nations
- DenmarkUnited StatesUnited Kingdom
In The Last Decade
Jonas Meisner
19 papers receiving 734 citations
Jonas Meisner's Hit Papers
Peers
Comparison fields: 5 of 76
- Genetics 449
- Ecological Modeling 35
- Ecology 198
- Nature and Landscape Conservation 89
- Ecology, Evolution, Behavior and Systematics 103
Countries citing papers authored by Jonas Meisner
This map shows the geographic impact of Jonas Meisner'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 Jonas Meisner with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Meisner more than expected).
Fields of papers citing papers by Jonas Meisner
This network shows the impact of papers produced by Jonas Meisner. 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 Jonas Meisner. The network helps show where Jonas Meisner may publish in the future.
Co-authors
The 25 scholars most cited alongside Jonas Meisner, 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 | Inferring Population Structure and Admixture Proportions in Low-Depth NGS Data Hit paper breakdown → | 2018 | 462 |
| 2 | 2021 | 48 | |
| 3 | 2019 | 48 | |
| 4 | 2019 | 33 | |
| 5 | 2025 | 23 | |
| 6 | 2021 | 22 | |
| 7 | 2024 | 20 | |
| 8 | 2021 | 18 | |
| 9 | 2021 | 17 | |
| 10 | 2023 | 15 | |
| 11 | 2024 | 6 | |
| 12 | 2023 | 6 | |
| 13 | 2025 | 5 | |
| 14 | 2024 | 4 | |
| 15 | 2022 | 4 | |
| 16 | 2025 | 3 | |
| 17 | 2025 | 3 | |
| 18 | 2026 | 1 | |
| 19 | 2025 | 1 | |
| 20 | 2025 | 0 |
About Jonas Meisner
Jonas Meisner is a scholar working on Genetics, Virology, Plant Science, Ecology and Paleontology, having authored 20 papers that have together received 739 indexed citations. Recurring topics across this work include Genetic Associations and Epidemiology (6 papers), Genetic and phenotypic traits in livestock (4 papers), Genetic diversity and population structure (3 papers), Genetic Mapping and Diversity in Plants and Animals (3 papers), Genomics and Phylogenetic Studies (2 papers), Genetics and Plant Breeding (2 papers), Wildlife Ecology and Conservation (2 papers) and Glycosylation and Glycoproteins Research (1 paper). The work is most often cited by research in Genetics (449 citations), Ecological Modeling (35 citations), Ecology (198 citations), Nature and Landscape Conservation (89 citations) and Ecology, Evolution, Behavior and Systematics (103 citations). Jonas Meisner has collaborated with scholars based in Denmark, United States and United Kingdom. Frequent co-authors include Anders Albrechtsen, Kristian Hanghøj, Teodoro Cardi, Pasquale Tripodi, Angelo M. Facchiano, SiYang Maggie Liu, Erik P. Garrison, Vincenza Colonna, Nunzio D’Agostino and Genís Garcia‐Erill. Their work appears in journals such as Nature Communications, Molecular Ecology Resources, Current Biology, BMC Bioinformatics and Nature Genetics.
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.