Joana I. Meier
- Genetics top 1%
- Genetic diversity and population structure 26
- Lepidoptera: Biology and Taxonomy 4
- Genetic and phenotypic traits in livestock 3
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- Fish Ecology and Management Studies 5
- Ecological Modeling top 5%
- Species Distribution and Climate Change 6
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- Plant and animal studies 9
- Aquatic Science top 2%
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- Insect-Plant Interactions and Control 3
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- Genomics and Phylogenetic Studies 3
- Co-authors
- Ole SeehausenDavid A. MarquesLaurent ExcoffierCatherine E. WagnerSalome MwaikoGabriel A. JamieAnna RunemarkKay Lucek
- Journals
- Nature (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (2 papers)
- Partner nations
- United KingdomUnited StatesSwitzerland
In The Last Decade
Joana I. Meier
33 papers receiving 2.0k citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Genetics 1.3k
- Nature and Landscape Conservation 511
- Ecological Modeling 157
- Ecology, Evolution, Behavior and Systematics 584
- Aquatic Science 211
Countries citing papers authored by Joana I. Meier
This map shows the geographic impact of Joana I. Meier'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 Joana I. Meier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joana I. Meier more than expected).
Fields of papers citing papers by Joana I. Meier
This network shows the impact of papers produced by Joana I. Meier. 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 Joana I. Meier. The network helps show where Joana I. Meier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Joana I. Meier, 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 | 2025 | 2 | |
| 2 | 2025 | 2 | |
| 3 | 2024 | 22 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 6 | |
| 6 | 2022 | 4 | |
| 7 | 2022 | 28 | |
| 8 | 2021 | 7 | |
| 9 | 2021 | 50 | |
| 10 | 2021 | 11 | |
| 11 | 2020 | 66 | |
| 12 | 2020 | 17 | |
| 13 | 2020 | 46 | |
| 14 | 2020 | 132 | |
| 15 | 2020 | 18 | |
| 16 | 2019 | 25 | |
| 17 | 2019 | 68 | |
| 18 | 2018 | 18 | |
| 19 | 2018 | 24 | |
| 20 | Ancient hybridization fuels rapid cichlid fish adaptive radiationsbreakdown → | 2017 | 461 |
About Joana I. Meier
Joana I. Meier is a scholar working on Ecological Modeling, Genetics and Nature and Landscape Conservation, having authored 33 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genetic diversity and population structure (26 papers), Plant and animal studies (9 papers), Species Distribution and Climate Change (6 papers), Fish Ecology and Management Studies (5 papers), Lepidoptera: Biology and Taxonomy (4 papers), Genetic and phenotypic traits in livestock (3 papers), Insect-Plant Interactions and Control (3 papers) and Genomics and Phylogenetic Studies (3 papers). The work is most often cited by research in Genetics (1.3k citations), Nature and Landscape Conservation (511 citations) and Ecological Modeling (157 citations). Joana I. Meier has collaborated with scholars based in United Kingdom, United States and Switzerland. Frequent co-authors include Ole Seehausen, David A. Marques, Laurent Excoffier, Catherine E. Wagner, Salome Mwaiko, Gabriel A. Jamie, Anna Runemark, Kay Lucek, Chris D. Jiggins and Mario Vallejo‐Marín. Their work appears in journals such as Nature, Science and Proceedings of the National Academy of Sciences.
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.