Anna Letko
Impact in
-
- Genetic and phenotypic traits in livestock
- Genetic Mapping and Diversity in Plants and Animals
- Animal Genetics and Reproduction
- Virus-based gene therapy research
-
- melanin and skin pigmentation
Papers in
-
- Wnt/β-catenin signaling in development and cancer 5
- RNA regulation and disease 4
- Genetics 18
- Genetic and phenotypic traits in livestock 7
- Co-authors
- Cord Drögemüller (40 shared papers)Irene M. Häfliger (19 shared papers)Vidhya Jagannathan (13 shared papers)Tosso Leeb (11 shared papers)James R. Mickelson (5 shared papers)Katie M. Minor (5 shared papers)Christine Flury (2 shared papers)C. Schelling (2 shared papers)
- Journals
- Animal Genetics (14 papers)Genes (13 papers)Molecular Genetics and Genomics (3 papers)Acta veterinaria Scandinavica (3 papers)Scientific Reports (2 papers)
- Partner nations
- SwitzerlandUnited StatesGermany
In The Last Decade
Anna Letko
40 papers receiving 325 citations
Peers
Comparison fields: 5 of 65
- Genetics 152
- Cell Biology 77
- Neurology 36
- Sensory Systems 14
- Agronomy and Crop Science 25
Countries citing papers authored by Anna Letko
This map shows the geographic impact of Anna Letko'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 Anna Letko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Anna Letko more than expected).
Fields of papers citing papers by Anna Letko
This network shows the impact of papers produced by Anna Letko. 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 Anna Letko. The network helps show where Anna Letko may publish in the future.
Co-authors
The 25 scholars most cited alongside Anna Letko, 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 46 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 24 | |
| 2 | 2022 | 21 | |
| 3 | 2020 | 20 | |
| 4 | 2019 | 18 | |
| 5 | 2018 | 18 | |
| 6 | 2017 | 17 | |
| 7 | 2019 | 17 | |
| 8 | 2019 | 15 | |
| 9 | 2020 | 14 | |
| 10 | 2019 | 14 | |
| 11 | 2020 | 12 | |
| 12 | 2019 | 12 | |
| 13 | 2021 | 10 | |
| 14 | 2020 | 9 | |
| 15 | 2019 | 9 | |
| 16 | 2020 | 9 | |
| 17 | 2020 | 9 | |
| 18 | 2019 | 8 | |
| 19 | 2020 | 8 | |
| 20 | 2020 | 8 |
About Anna Letko
Anna Letko is a scholar working on Molecular Biology, Genetics, Cell Biology, Neurology and Cellular and Molecular Neuroscience, having authored 46 papers that have together received 334 indexed citations. Recurring topics across this work include Neurological diseases and metabolism (12 papers), melanin and skin pigmentation (8 papers), Genetic and phenotypic traits in livestock (7 papers), Hereditary Neurological Disorders (5 papers), Wnt/β-catenin signaling in development and cancer (5 papers), Skin and Cellular Biology Research (5 papers), Veterinary Oncology Research (4 papers) and RNA regulation and disease (4 papers). The work is most often cited by research in Genetics (152 citations), Cell Biology (77 citations), Neurology (36 citations), Sensory Systems (14 citations) and Agronomy and Crop Science (25 citations). Anna Letko has collaborated with scholars based in Switzerland, United States and Germany. Frequent co-authors include Cord Drögemüller, Irene M. Häfliger, Vidhya Jagannathan, Tosso Leeb, James R. Mickelson, Katie M. Minor, Christine Flury, C. Schelling, Inês Berenguer Veiga and S. M. Schmutz. Their work appears in journals such as Animal Genetics, Genes, Molecular Genetics and Genomics, Acta veterinaria Scandinavica 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.