H. Viinalass
- Genetics top 5%
- Genetic and phenotypic traits in livestock 19
- Genetic diversity and population structure 11
- Genetic Mapping and Diversity in Plants and Animals 11
- Animal Genetics and Reproduction 2
- Agronomy and Crop Science top 5%
- Milk Quality and Mastitis in Dairy Cows 5
- Insect Science top 10%
- Insect and Pesticide Research 3
- Food Science top 10%
- Pesticide Residue Analysis and Safety 2
- Animal Science and Zoology top 10%
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- Wheat and Barley Genetics and Pathology 2
In The Last Decade
H. Viinalass
25 papers receiving 677 citations
Peers
Comparison fields: 5 of 67
- Genetics 572
- Agronomy and Crop Science 160
- Insect Science 97
- Food Science 118
- Animal Science and Zoology 54
Countries citing papers authored by H. Viinalass
This map shows the geographic impact of H. Viinalass'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 H. Viinalass with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites H. Viinalass more than expected).
Fields of papers citing papers by H. Viinalass
This network shows the impact of papers produced by H. Viinalass. 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 H. Viinalass. The network helps show where H. Viinalass may publish in the future.
Co-authorship network
The 25 scholars most cited alongside H. Viinalass, 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 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2025 | 0 | |
| 4 | 2024 | 1 | |
| 5 | 2019 | 51 | |
| 6 | 2018 | 3 | |
| 7 | 2017 | 52 | |
| 8 | 2012 | 36 | |
| 9 | GENETIC DIVERSITY IN MILK PROTEINS AMONG ESTONIAN DAIRY CATTLE | 2009 | 6 |
| 10 | Milk rennet coagulation properties in Estonian dairy cattle and factors affecting it. A review. | 2009 | 1 |
| 11 | 2009 | 78 | |
| 12 | 2009 | 11 | |
| 13 | 2007 | 35 | |
| 14 | 2007 | 5 | |
| 15 | Frequencies of κ-Cn AND β-Lg genetic variants among Estonian cattle breeds and their effect on the milk renneting properties. | 2006 | 5 |
| 16 | 2006 | 61 | |
| 17 | 2006 | 158 | |
| 18 | Effect of κ-casein and β-lactoglobulin genotypes on the milk rennet coagulation properties | 2005 | 33 |
| 19 | 2005 | 1 | |
| 20 | 2005 | 59 |
About H. Viinalass
H. Viinalass is a scholar working on Genetics, Agronomy and Crop Science, Insect Science, Forestry and Food Science, having authored 29 papers that have together received 738 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (19 papers), Genetic diversity and population structure (11 papers), Genetic Mapping and Diversity in Plants and Animals (11 papers), Milk Quality and Mastitis in Dairy Cows (5 papers), Insect and Pesticide Research (3 papers), Pesticide Residue Analysis and Safety (2 papers), Wheat and Barley Genetics and Pathology (2 papers) and Animal Genetics and Reproduction (2 papers). The work is most often cited by research in Genetics (572 citations), Agronomy and Crop Science (160 citations), Insect Science (97 citations), Food Science (118 citations) and Animal Science and Zoology (54 citations). H. Viinalass has collaborated with scholars based in Estonia, Finland and Latvia. Frequent co-authors include Juha Kantanen, Miika Tapio, Tatyana Kiselyova, Mirjana Ćinkulov, Mikhail Ozerov, I. Olsaker, Ilma Tapio, Н. С. Марзанов, M. Murawski and Johanna Vilkki. Their work appears in journals such as Heredity, Chemosphere, Animal Genetics, Agricultural and Food Science and Journal of Dairy Science.
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.