P. Brym
- Agronomy and Crop Science top 5%
- Reproductive Physiology in Livestock 6
- Animal Disease Management and Epidemiology 5
- Reproductive Medicine top 10%
- Sperm and Testicular Function 7
- Genetics top 10%
- Genetic and phenotypic traits in livestock 14
- Genetic Mapping and Diversity in Plants and Animals 5
- Animal Science and Zoology top 10%
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- Cancer-related molecular mechanisms research 5
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- T-cell and Retrovirus Studies 5
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- Reproductive Biology and Fertility 5
P. Brym
34 papers receiving 485 citations
Peers
Comparison fields: 5 of 53
- Agronomy and Crop Science 134
- Reproductive Medicine 90
- Genetics 257
- Animal Science and Zoology 81
- Cancer Research 103
Countries citing papers authored by P. Brym
This map shows the geographic impact of P. Brym'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 P. Brym with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites P. Brym more than expected).
Fields of papers citing papers by P. Brym
This network shows the impact of papers produced by P. Brym. 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 P. Brym. The network helps show where P. Brym may publish in the future.
Co-authorship network
The 25 scholars most cited alongside P. Brym, 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 | 2024 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2022 | 8 | |
| 6 | 2021 | 8 | |
| 7 | 2020 | 9 | |
| 8 | 2019 | 2 | |
| 9 | 2019 | 61 | |
| 10 | Expression and polymorphism of ADAM32 gene and its association with somatic cell count in Holstein-Friesian cows | 2017 | 1 |
| 11 | 2016 | 14 | |
| 12 | 2016 | 13 | |
| 13 | 2015 | 26 | |
| 14 | 2009 | 8 | |
| 15 | 2008 | 15 | |
| 16 | 2007 | 13 | |
| 17 | Database of SNPs in candidate genes potentially associated with yield and quality of pork. | 2006 | 9 |
| 18 | 2006 | 19 | |
| 19 | Polymorphism within the bovine prolactin receptor gene (PRLR). | 2005 | 11 |
| 20 | Allele frequency in ryanodine receptor [RYR1] locus in boars of different breeds | 2002 | 5 |
About P. Brym
P. Brym is a scholar working on Agronomy and Crop Science, Reproductive Medicine and Genetics, having authored 38 papers that have together received 508 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (14 papers), Sperm and Testicular Function (7 papers), Reproductive Physiology in Livestock (6 papers), T-cell and Retrovirus Studies (5 papers), Reproductive Biology and Fertility (5 papers), Genetic Mapping and Diversity in Plants and Animals (5 papers), Animal Disease Management and Epidemiology (5 papers) and Cancer-related molecular mechanisms research (5 papers). The work is most often cited by research in Agronomy and Crop Science (134 citations), Reproductive Medicine (90 citations) and Genetics (257 citations). P. Brym has collaborated with scholars based in Poland, Russia and Estonia. Frequent co-authors include Stanisław Kamiński, A. Ruść, Elżbieta Wójcik, L. Fraser, Łukasz Paukszto, J Jastrzebski, Ewa Wójcik, Janusz Strychalski, Andrzej Gugołek and Kamil Oleński. Their work appears in journals such as International Journal of Molecular Sciences, Theriogenology, Veterinary Immunology and Immunopathology, BMC Veterinary Research and Biochemical 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.