Pau Navarro
- Co-authors
- Chris HaleyAlbert TenesaPeter M. VisscherCaroline HaywardGeraldine M ClarkeMichael E. GoddardDavid L. DuffyBen J. Hayes
- Topics
- Genetic Mapping and Diversity in Plants and Animals (25 papers)Genetic Associations and Epidemiology (24 papers)Genetic and phenotypic traits in livestock (24 papers)
- Partner nations
- United KingdomSpainCroatia
In The Last Decade
Pau Navarro
50 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 159
- Genetics 800
- Molecular Biology 327
- Plant Science 170
- Artificial Intelligence 82
- Cancer Research 77
Countries citing papers authored by Pau Navarro
This map shows the geographic impact of Pau Navarro'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 Pau Navarro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pau Navarro more than expected).
Fields of papers citing papers by Pau Navarro
This network shows the impact of papers produced by Pau Navarro. 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 Pau Navarro. The network helps show where Pau Navarro may publish in the future.
Co-authorship network of co-authors of Pau Navarro
This figure shows the co-authorship network connecting the top 25 collaborators of Pau Navarro. A scholar is included among the top collaborators of Pau Navarro 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 Pau Navarro. Pau Navarro 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 | 1 | |
| 6 | 9 | |
| 7 | 23 | |
| 8 | 3 | |
| 9 | 34 | |
| 10 | 5 | |
| 11 | 21 | |
| 12 | 71 | |
| 13 | 12 | |
| 14 | A Comparison of the Sensitivity of the BayesC and Genomic Best Linear Unbiased Prediction(GBLUP) Methods of Estimating Genomic Breeding Values under Different Quantitative Trait Locus(QTL) Model Assumptions | 3 |
| 15 | 29 | |
| 16 | 14 | |
| 17 | Using Haplotype Mapping to Uncover the Missing Heritability: A Simulation Study | 0 |
| 18 | 8 | |
| 19 | 76 | |
| 20 | 27 |
About Pau Navarro
Pau Navarro is a scholar working on Genetics, Animal Science and Zoology and Endocrine and Autonomic Systems, having authored 53 papers that have together received 1.3k indexed citations. Recurring topics across this work include Genetic Mapping and Diversity in Plants and Animals (25 papers), Genetic Associations and Epidemiology (24 papers) and Genetic and phenotypic traits in livestock (24 papers). The work is most often cited by research in Genetics (800 citations), Animal Science and Zoology (77 citations) and Biological Psychiatry (17 citations). Pau Navarro has collaborated with scholars based in United Kingdom, Spain and Croatia. Frequent co-authors include Chris Haley, Albert Tenesa, Peter M. Visscher, Caroline Hayward, Geraldine M Clarke, Michael E. Goddard, David L. Duffy, Ben J. Hayes, James F. Wilson and Igor Rudan. Their work appears in journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.
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.