Asko Mäki‐Tanila
- Genetics top 1%
- Animal Science and Zoology top 0.5%
- Agronomy and Crop Science top 1%
- Plant Science top 5%
- Molecular Biology
- Co-authors
- Johanna VilkkiKari EloDirk‐Jan de KoningWilliam G. HillMaria Tuiskula-HaavistoNina SchulmanRiikka VelmalaSirja Viitala
- Topics
- Genetic and phenotypic traits in livestock (45 papers)Genetic Mapping and Diversity in Plants and Animals (27 papers)Reproductive Physiology in Livestock (10 papers)
- Journals
- SHILAP Revista de lepidopterologíaScientific ReportsGenetics
- Partner nations
- FinlandUnited KingdomSpain
In The Last Decade
Asko Mäki‐Tanila
63 papers receiving 2.0k citations
Peers
Comparison fields: 5 of 103
- Genetics 1.8k
- Animal Science and Zoology 614
- Agronomy and Crop Science 461
- Plant Science 389
- Molecular Biology 213
Countries citing papers authored by Asko Mäki‐Tanila
This map shows the geographic impact of Asko Mäki‐Tanila'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 Asko Mäki‐Tanila with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Asko Mäki‐Tanila more than expected).
Fields of papers citing papers by Asko Mäki‐Tanila
This network shows the impact of papers produced by Asko Mäki‐Tanila. 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 Asko Mäki‐Tanila. The network helps show where Asko Mäki‐Tanila may publish in the future.
Co-authorship network of co-authors of Asko Mäki‐Tanila
This figure shows the co-authorship network connecting the top 25 collaborators of Asko Mäki‐Tanila. A scholar is included among the top collaborators of Asko Mäki‐Tanila based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Asko Mäki‐Tanila. Asko Mäki‐Tanila is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 34 | |
| 2 | 9 | |
| 3 | Contribution of gene-gene interaction to genetic variation and its utilisation by selection | 2 |
| 4 | 22 | |
| 5 | 32 | |
| 6 | 9 | |
| 7 | 45 | |
| 8 | A genetic marker against fishy taint in brown egg layers. | 1 |
| 9 | 34 | |
| 10 | 55 | |
| 11 | 43 | |
| 12 | 109 | |
| 13 | 88 | |
| 14 | 37 | |
| 15 | 28 | |
| 16 | 102 | |
| 17 | 53 | |
| 18 | 11 | |
| 19 | Use of the individual animal model in the genetic evaluation of breeding animals | 2 |
| 20 | Mixed model methodology under genetic models with a small number of additive and non-additive loci. | 20 |
About Asko Mäki‐Tanila
Asko Mäki‐Tanila is a scholar working on Genetics, Agronomy and Crop Science and Small Animals, having authored 67 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (45 papers), Genetic Mapping and Diversity in Plants and Animals (27 papers) and Reproductive Physiology in Livestock (10 papers). The work is most often cited by research in Genetics (1.8k citations), Animal Science and Zoology (614 citations) and Agronomy and Crop Science (461 citations). Asko Mäki‐Tanila has collaborated with scholars based in Finland, United Kingdom and Spain. Frequent co-authors include Johanna Vilkki, Kari Elo, Dirk‐Jan de Koning, William G. Hill, Maria Tuiskula-Haavisto, Nina Schulman, Riikka Velmala, Sirja Viitala, Mervi Honkatukia and Esa Mäntysaari. Their work appears in journals such as SHILAP Revista de lepidopterología, Scientific Reports and 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.