T. Kott
Impact in
- Genetics top 10%
- Genetic and phenotypic traits in livestock
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- Effects and risks of endocrine disrupting chemicals
Papers in
- Genetics 22
- Genetic and phenotypic traits in livestock 18
- Genetic diversity and population structure 2
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- Reproductive Physiology in Livestock 6
- Co-authors
- D. Řehák (4 shared papers)Luděk Bartoň (4 shared papers)Daniel Bureš (4 shared papers)Jakub Mrázek (3 shared papers)Jan Kopečný (3 shared papers)Jaroslav Petr (6 shared papers)Tereza Žalmanová (5 shared papers)Kristýna Hošková (5 shared papers)
In The Last Decade
T. Kott
38 papers receiving 795 citations
Peers
Comparison fields: 5 of 72
- Genetics 352
- Health, Toxicology and Mutagenesis 123
- Insect Science 72
- Animal Science and Zoology 60
- Agronomy and Crop Science 50
Countries citing papers authored by T. Kott
This map shows the geographic impact of T. Kott'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 T. Kott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites T. Kott more than expected).
Fields of papers citing papers by T. Kott
This network shows the impact of papers produced by T. Kott. 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 T. Kott. The network helps show where T. Kott may publish in the future.
Co-authors
The 25 scholars most cited alongside T. Kott, 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 39 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 82 | |
| 2 | 2006 | 80 | |
| 3 | 2008 | 78 | |
| 4 | 2010 | 74 | |
| 5 | 2016 | 64 | |
| 6 | 2009 | 57 | |
| 7 | 2015 | 54 | |
| 8 | 2018 | 29 | |
| 9 | 2010 | 25 | |
| 10 | 2011 | 23 | |
| 11 | 2008 | 22 | |
| 12 | 2006 | 20 | |
| 13 | 2008 | 20 | |
| 14 | 2007 | 18 | |
| 15 | 2011 | 18 | |
| 16 | 2009 | 17 | |
| 17 | 2003 | 15 | |
| 18 | 2012 | 15 | |
| 19 | 2015 | 14 | |
| 20 | 2011 | 13 |
About T. Kott
T. Kott is a scholar working on Genetics, Agronomy and Crop Science, Public Health, Environmental and Occupational Health, Animal Science and Zoology and Insect Science, having authored 39 papers that have together received 837 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (18 papers), Reproductive Biology and Fertility (10 papers), Reproductive Physiology in Livestock (6 papers), Gut microbiota and health (3 papers), Pluripotent Stem Cells Research (2 papers), Meat and Animal Product Quality (2 papers), Genetic diversity and population structure (2 papers) and Effects and risks of endocrine disrupting chemicals (2 papers). The work is most often cited by research in Genetics (352 citations), Health, Toxicology and Mutagenesis (123 citations), Insect Science (72 citations), Animal Science and Zoology (60 citations) and Agronomy and Crop Science (50 citations). T. Kott has collaborated with scholars based in Czechia, Japan and Denmark. Frequent co-authors include D. Řehák, Luděk Bartoň, Daniel Bureš, Jakub Mrázek, Jan Kopečný, Jaroslav Petr, Tereza Žalmanová, Kristýna Hošková, Jan Nevoral and Katerina Olsa Fliegerova. Their work appears in journals such as Small Ruminant Research, Meat Science, Animal Reproduction Science, Czech Journal of Animal Science and Journal of Reproduction and Development.
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.