Kacper Żukowski
- Genetics top 5%
- Molecular Biology
- Cancer Research top 10%
- Animal Science and Zoology top 5%
- Physiology
- Co-authors
- Katarzyna Ropka‐MolikKatarzyna PiórkowskaArtur GurgulM. TyraMaria OczkowiczMonika Bugno‐PoniewierskaTomasz SzmatołaR. Eckert
- Topics
- Genetic and phenotypic traits in livestock (32 papers)Genetic Mapping and Diversity in Plants and Animals (25 papers)Cancer-related molecular mechanisms research (12 papers)
- Partner nations
- PolandUnited KingdomSerbia
In The Last Decade
Kacper Żukowski
52 papers receiving 647 citations
Peers
Comparison fields: 5 of 61
- Genetics 408
- Molecular Biology 240
- Cancer Research 164
- Animal Science and Zoology 157
- Physiology 56
Countries citing papers authored by Kacper Żukowski
This map shows the geographic impact of Kacper Żukowski'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 Kacper Żukowski with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kacper Żukowski more than expected).
Fields of papers citing papers by Kacper Żukowski
This network shows the impact of papers produced by Kacper Żukowski. 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 Kacper Żukowski. The network helps show where Kacper Żukowski may publish in the future.
Co-authorship network of co-authors of Kacper Żukowski
This figure shows the co-authorship network connecting the top 25 collaborators of Kacper Żukowski. A scholar is included among the top collaborators of Kacper Żukowski 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 Kacper Żukowski. Kacper Żukowski is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 3 | |
| 4 | 4 | |
| 5 | 0 | |
| 6 | 1 | |
| 7 | 30 | |
| 8 | 12 | |
| 9 | 10 | |
| 10 | 6 | |
| 11 | 5 | |
| 12 | 24 | |
| 13 | 11 | |
| 14 | 51 | |
| 15 | 11 | |
| 16 | Association study of PIT1 and GHRH SNPs with economically important traits in pigs of three breeds reared in Poland. | 8 |
| 17 | SCD1 SNP in relation to breeding value of milk production traits in Polish Holstein-Friesian cows | 3 |
| 18 | SLC27A1 SNPs in relation to breeding value of milk production traits in Polish Holstein-Friesian cows | 1 |
| 19 | 2 | |
| 20 | Incorporation of correlation between SNPs into the genomic evaluation model | 3 |
About Kacper Żukowski
Kacper Żukowski is a scholar working on Animal Science and Zoology, Genetics and Cancer Research, having authored 54 papers that have together received 660 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (32 papers), Genetic Mapping and Diversity in Plants and Animals (25 papers) and Cancer-related molecular mechanisms research (12 papers). The work is most often cited by research in Animal Science and Zoology (157 citations), Genetics (408 citations) and Cancer Research (164 citations). Kacper Żukowski has collaborated with scholars based in Poland, United Kingdom and Serbia. Frequent co-authors include Katarzyna Ropka‐Molik, Katarzyna Piórkowska, Artur Gurgul, M. Tyra, Maria Oczkowicz, Monika Bugno‐Poniewierska, Tomasz Szmatoła, R. Eckert, Igor Jasielczuk and Katarzyna Połtowicz. Their work appears in journals such as International Journal of Molecular Sciences, Infection and Immunity and Gene.
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.