Sebastian Mucha
- Genetics top 5%
- Agronomy and Crop Science top 2%
- Animal Science and Zoology top 5%
- Plant Science
- Small Animals top 5%
- Co-authors
- J. ConingtonRaphael MrodeM.P. CoffeyT. StrabelMarcin PszczołaE. StrandbergRachel RuppJohn C. McEwan
- Topics
- Genetic and phenotypic traits in livestock (35 papers)Genetic Mapping and Diversity in Plants and Animals (15 papers)Reproductive Physiology in Livestock (8 papers)
- Partner nations
- PolandUnited KingdomNetherlands
In The Last Decade
Sebastian Mucha
38 papers receiving 580 citations
Peers
Comparison fields: 5 of 58
- Genetics 476
- Agronomy and Crop Science 239
- Animal Science and Zoology 155
- Plant Science 80
- Small Animals 56
Countries citing papers authored by Sebastian Mucha
This map shows the geographic impact of Sebastian Mucha'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 Sebastian Mucha with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sebastian Mucha more than expected).
Fields of papers citing papers by Sebastian Mucha
This network shows the impact of papers produced by Sebastian Mucha. 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 Sebastian Mucha. The network helps show where Sebastian Mucha may publish in the future.
Co-authorship network of co-authors of Sebastian Mucha
This figure shows the co-authorship network connecting the top 25 collaborators of Sebastian Mucha. A scholar is included among the top collaborators of Sebastian Mucha 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 Sebastian Mucha. Sebastian Mucha is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 2 | |
| 4 | 8 | |
| 5 | 26 | |
| 6 | 18 | |
| 7 | Genetic architecture of methane emissions from dairy cows | 1 |
| 8 | Estimation of breeding values for Footrot and Mastitis in UK Texel sheep | 2 |
| 9 | Genetic parameters for longevity traits in UK dairy goats | 1 |
| 10 | Deriving genomic breeding values for feed intake and body weight in dairy goats | 5 |
| 11 | 15 | |
| 12 | 21 | |
| 13 | 19 | |
| 14 | 41 | |
| 15 | Estimation of Genomic Breeding Values for Milk Yield in UK Dairy Goats | 2 |
| 16 | 20 | |
| 17 | 5 | |
| 18 | 11 | |
| 19 | 11 | |
| 20 | 2 |
About Sebastian Mucha
Sebastian Mucha is a scholar working on Agronomy and Crop Science, Genetics and Animal Science and Zoology, having authored 40 papers that have together received 599 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (35 papers), Genetic Mapping and Diversity in Plants and Animals (15 papers) and Reproductive Physiology in Livestock (8 papers). The work is most often cited by research in Agronomy and Crop Science (239 citations), Genetics (476 citations) and Animal Science and Zoology (155 citations). Sebastian Mucha has collaborated with scholars based in Poland, United Kingdom and Netherlands. Frequent co-authors include J. Conington, Raphael Mrode, M.P. Coffey, T. Strabel, Marcin Pszczoła, E. Strandberg, Rachel Rupp, John C. McEwan, Hélène Larroque and Anna Wolc. Their work appears in journals such as Scientific Reports, International Journal of Molecular Sciences 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.