Ari Löytynoja
- Genetics top 2%
- Genetic diversity and population structure 20
- Genetic and phenotypic traits in livestock 5
- Genetic Mapping and Diversity in Plants and Animals 5
- Molecular Biology top 5%
- Genomics and Phylogenetic Studies 22
- RNA and protein synthesis mechanisms 6
- Glycosylation and Glycoproteins Research 3
- Paleontology top 5%
- Ecology top 5%
- Marine animal studies overview 4
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- Chromosomal and Genetic Variations 7
- Co-authors
- Nick GoldmanMichel C. MilinkovitchAlbert J. VilellaJuha MeriläAlan MedlarAndres VeidenbergPasi RastasRobertas Ursache
- Journals
- Science (1 paper)Proceedings of the National Academy of Sciences (4 papers)Bioinformatics (4 papers)
- Partner nations
- FinlandUnited KingdomHong Kong
In The Last Decade
Ari Löytynoja
43 papers receiving 3.2k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Genetics 1.0k
- Molecular Biology 1.9k
- Paleontology 193
- Ecology 633
- Ecology, Evolution, Behavior and Systematics 439
Countries citing papers authored by Ari Löytynoja
This map shows the geographic impact of Ari Löytynoja'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 Ari Löytynoja with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ari Löytynoja more than expected).
Fields of papers citing papers by Ari Löytynoja
This network shows the impact of papers produced by Ari Löytynoja. 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 Ari Löytynoja. The network helps show where Ari Löytynoja may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Ari Löytynoja, 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 | 2024 | 7 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 1 | |
| 4 | 2023 | 4 | |
| 5 | 2023 | 9 | |
| 6 | 2022 | 15 | |
| 7 | 2022 | 2 | |
| 8 | 2022 | 11 | |
| 9 | 2021 | 27 | |
| 10 | 2021 | 16 | |
| 11 | 2020 | 89 | |
| 12 | 2019 | 50 | |
| 13 | Mechanistic insights into the evolution of DUF26-containing proteins in land plants | 2019 | 70 |
| 14 | 2017 | 20 | |
| 15 | 2015 | 10 | |
| 16 | 2015 | 42 | |
| 17 | 2014 | 21 | |
| 18 | 2014 | 7 | |
| 19 | 2014 | 7 | |
| 20 | 2010 | 343 |
About Ari Löytynoja
Ari Löytynoja is a scholar working on Genetics, Molecular Biology and Ecology, having authored 44 papers that have together received 3.2k indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (22 papers), Genetic diversity and population structure (20 papers), Chromosomal and Genetic Variations (7 papers), RNA and protein synthesis mechanisms (6 papers), Genetic and phenotypic traits in livestock (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Marine animal studies overview (4 papers) and Glycosylation and Glycoproteins Research (3 papers). The work is most often cited by research in Genetics (1.0k citations), Molecular Biology (1.9k citations) and Paleontology (193 citations). Ari Löytynoja has collaborated with scholars based in Finland, United Kingdom and Hong Kong. Frequent co-authors include Nick Goldman, Michel C. Milinkovitch, Albert J. Vilella, Juha Merilä, Alan Medlar, Andres Veidenberg, Pasi Rastas, Robertas Ursache, Lingling Ye and Munan Lyu. Their work appears in journals such as Science, Proceedings of the National Academy of Sciences and Bioinformatics.
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.