Pau Navarro

18.8k total citations
53 papers, 1.3k citations indexed

About

Pau Navarro is a scholar working on Genetics, Molecular Biology and Plant Science. According to data from OpenAlex, Pau Navarro has authored 53 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Genetics, 8 papers in Molecular Biology and 6 papers in Plant Science. Recurrent topics in Pau Navarro's 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). Pau Navarro is often cited by papers focused on 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). Pau Navarro collaborates with scholars based in United Kingdom, Spain and Croatia. Pau Navarro's 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 and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Pau Navarro

50 papers receiving 1.3k citations

Peers

Pau Navarro

GENET

Nicholas A. Furlotte United States

Jian Zeng Australia

Hilary C. Martin United Kingdom

Qin Qin Huang United Kingdom

Menachem Fromer United States

Emil Uffelmann Netherlands

Michelle Turcotte Canada

Doug Speed Denmark

Andrey Ziyatdinov Spain

Matthew P. Conomos United States

Nicholas A. Furlotte United States

Pau Navarro

993 ×1.2

GENET

597 ×1.8

174 ×1.0

45 ×0.5

83 ×1.1

Citations per year, relative to Pau Navarro Pau Navarro (= 1×) peers Nicholas A. Furlotte

Countries citing papers authored by Pau Navarro

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

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20 of 20 papers shown

Navarro, Pau, Roberta Villa, Vincenzo Nobile, et al.. (2025). Lippia citrodora (Lemon Verbena) Extract Helps Reduce Stress and Improve Sleep Quality in Adolescents in a Double-Blind Randomized Intervention Study. Applied Sciences. 15(11). 5856–5856.

Pemberton, Josephine M., et al.. (2025). Evaluating regional heritability mapping methods for identifying QTLs in a wild population of Soay sheep. Heredity. 134(6). 374–386.

Nobile, Vincenzo, et al.. (2024). Skin and Scalp Health Benefits of a Specific Botanical Extract Blend: Results from a Double-Blind Placebo-Controlled Study in Urban Outdoor Workers. Cosmetics. 11(4). 139–139. 2 indexed citations

Navarro, Pau, et al.. (2024). Estimating cancer risk in carriers of Lynch syndrome variants in UK Biobank. Journal of Medical Genetics. 61(9). 861–869. 8 indexed citations

Pemberton, Josephine M., et al.. (2024). Investigating pedigree- and SNP-associated components of heritability in a wild population of Soay sheep. Heredity. 132(4). 202–210. 1 indexed citations

Nobile, Vincenzo, et al.. (2023). Skin Anti-Aging Efficacy of a Four-Botanical Blend Dietary Ingredient: A Randomized, Double Blind, Clinical Study. Cosmetics. 10(1). 16–16. 9 indexed citations

Trbojević‐Akmačić, Irena, Pau Navarro, Yakov A. Tsepilov, et al.. (2022). Genetic regulation of post-translational modification of two distinct proteins. Nature Communications. 13(1). 1586–1586. 23 indexed citations

Riggio, Valentina, Pau Navarro, Beatriz Gutiérrez‐Gil, et al.. (2022). Effect of genotyping strategies on the sustained benefit of single-step genomic BLUP over multiple generations. Genetics Selection Evolution. 54(1). 23–23. 3 indexed citations

Barysenka, Andrei, Pau Navarro, Xia Shen, et al.. (2021). Mapping the serum proteome to neurological diseases using whole genome sequencing. Nature Communications. 12(1). 7042–7042. 34 indexed citations

10.

Amador, Carmen, Yanni Zeng, M. Barber, et al.. (2021). Genome-wide methylation data improves dissection of the effect of smoking on body mass index. PLoS Genetics. 17(9). e1009750–e1009750. 5 indexed citations

11.

Bretherick, Andrew D., Oriol Canela‐Xandri, Peter K. Joshi, et al.. (2020). Linking protein to phenotype with Mendelian Randomization detects 38 proteins with causal roles in human diseases and traits. PLoS Genetics. 16(7). e1008785–e1008785. 21 indexed citations

12.

Hill, W. David, Ruben C. Arslan, Charley Xia, et al.. (2018). Genomic analysis of family data reveals additional genetic effects on intelligence and personality. Molecular Psychiatry. 23(12). 2347–2362. 71 indexed citations

13.

Amador, Carmen, Charley Xia, Réka Nagy, et al.. (2017). Regional variation in health is predominantly driven by lifestyle rather than genetics. Nature Communications. 8(1). 801–801. 12 indexed citations

14.

Shirali, Masoud, S. R. Miraei-Ashtiani, A. Pakdel, et al.. (2015). 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. Iranian journal of applied animal science. 5(1). 41–46. 3 indexed citations

15.

Tenesa, Albert, Konrad Rawlik, Pau Navarro, & Oriol Canela‐Xandri. (2015). Genetic determination of height-mediated mate choice. Genome biology. 16(1). 269–269. 29 indexed citations

16.

Shirali, Masoud, Ricardo Pong‐Wong, Pau Navarro, et al.. (2015). Regional heritability mapping method helps explain missing heritability of blood lipid traits in isolated populations. Heredity. 116(3). 333–338. 14 indexed citations

17.

Shirali, Masoud, Ricardo Pong‐Wong, Sara Knott, et al.. (2014). Using Haplotype Mapping to Uncover the Missing Heritability: A Simulation Study. Proceedings of the World Congress on Genetics Applied to Livestock Production. 677.

18.

Joshi, Peter K., James Prendergast, Ross M. Fraser, et al.. (2013). Local Exome Sequences Facilitate Imputation of Less Common Variants and Increase Power of Genome Wide Association Studies. PLoS ONE. 8(7). e68604–e68604. 8 indexed citations

19.

Pong‐Wong, Ricardo, Pau Navarro, Véronique Vitart, et al.. (2012). Localising Loci underlying Complex Trait Variation Using Regional Genomic Relationship Mapping. PLoS ONE. 7(10). e46501–e46501. 76 indexed citations

20.

Wei, Wenhua, Gibran Hemani, Attila Gyenesei, et al.. (2012). Genome-wide analysis of epistasis in body mass index using multiple human populations. European Journal of Human Genetics. 20(8). 857–862. 27 indexed citations

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.

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