Ivan Pocrnić
Impact in
- Genetics top 5%
- Genetic and phenotypic traits in livestock
- Genetic Associations and Epidemiology
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- Environmental Philosophy and Ethics
Papers in
- Genetics 36
- Genetic and phenotypic traits in livestock 36
- Evolution and Genetic Dynamics 1
- Genetic diversity and population structure 1
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- CRISPR and Genetic Engineering 1
- Co-authors
- I. Misztal (18 shared papers)Daniela A. L. Lourenco (16 shared papers)Yutaka Masuda (6 shared papers)Andrés Legarra (3 shared papers)Breno de Oliveira Fragomeni (5 shared papers)Gregor Gorjanc (10 shared papers)R. Chris Gaynor (3 shared papers)Ole Fredslund Christensen (1 shared paper)
- Journals
- Journal of Animal Science (9 papers)Genetics Selection Evolution (5 papers)Journal of Dairy Science (3 papers)Journal of Animal Breeding and Genetics (2 papers)Genetics (2 papers)
- Partner nations
- United KingdomUnited StatesCroatia
In The Last Decade
Ivan Pocrnić
35 papers receiving 486 citations
Peers
Comparison fields: 5 of 23
- Genetics 460
- Nature and Landscape Conservation 6
- Insect Science 5
- Molecular Biology 21
- Animal Science and Zoology 3
Countries citing papers authored by Ivan Pocrnić
This map shows the geographic impact of Ivan Pocrnić'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 Ivan Pocrnić with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ivan Pocrnić more than expected).
Fields of papers citing papers by Ivan Pocrnić
This network shows the impact of papers produced by Ivan Pocrnić. 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 Ivan Pocrnić. The network helps show where Ivan Pocrnić may publish in the future.
Co-authors
The 25 scholars most cited alongside Ivan Pocrnić, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 84 | |
| 2 | 2017 | 66 | |
| 3 | 2016 | 63 | |
| 4 | 2019 | 32 | |
| 5 | 2018 | 30 | |
| 6 | 2017 | 27 | |
| 7 | 2021 | 27 | |
| 8 | 2019 | 21 | |
| 9 | 2016 | 20 | |
| 10 | 2021 | 19 | |
| 11 | 2024 | 16 | |
| 12 | 2023 | 14 | |
| 13 | 2017 | 12 | |
| 14 | 2020 | 12 | |
| 15 | 2023 | 8 | |
| 16 | 2022 | 7 | |
| 17 | 2024 | 6 | |
| 18 | 2021 | 3 | |
| 19 | 2023 | 3 | |
| 20 | 2016 | 2 |
About Ivan Pocrnić
Ivan Pocrnić is a scholar working on Genetics, Molecular Biology, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 37 papers that have together received 493 indexed citations. Recurring topics across this work include Genetic and phenotypic traits in livestock (36 papers), Evolution and Genetic Dynamics (1 paper), CRISPR and Genetic Engineering (1 paper) and Genetic diversity and population structure (1 paper). The work is most often cited by research in Genetics (460 citations), Nature and Landscape Conservation (6 citations), Insect Science (5 citations), Molecular Biology (21 citations) and Animal Science and Zoology (3 citations). Ivan Pocrnić has collaborated with scholars based in United Kingdom, United States and Croatia. Frequent co-authors include I. Misztal, Daniela A. L. Lourenco, Yutaka Masuda, Andrés Legarra, Breno de Oliveira Fragomeni, Gregor Gorjanc, R. Chris Gaynor, Ole Fredslund Christensen, Zulma Gladis Vitezica and R. J. C. Cantet. Their work appears in journals such as Journal of Animal Science, Genetics Selection Evolution, Journal of Dairy Science, Journal of Animal Breeding and Genetics and 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.