Leandro G. Neves

1.2k total citations
21 papers, 705 citations indexed

About

Leandro G. Neves is a scholar working on Genetics, Plant Science and Molecular Biology. According to data from OpenAlex, Leandro G. Neves has authored 21 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Genetics, 8 papers in Plant Science and 7 papers in Molecular Biology. Recurrent topics in Leandro G. Neves's work include Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic diversity and population structure (7 papers). Leandro G. Neves is often cited by papers focused on Genetic and phenotypic traits in livestock (8 papers), Genetic Mapping and Diversity in Plants and Animals (8 papers) and Genetic diversity and population structure (7 papers). Leandro G. Neves collaborates with scholars based in United States, Brazil and Finland. Leandro G. Neves's co-authors include Matias Kirst, W. Brad Barbazuk, John M. Davis, Márcio F. R. Resende, Patricio Muńoz, Dário Grattapaglia, Christopher Dervinis, Janeo Eustáquio de Almeida Filho, Bárbara S. F. Müller and R. John Davenport and has published in prestigious journals such as PLoS ONE, New Phytologist and The Plant Journal.

In The Last Decade

Leandro G. Neves

21 papers receiving 693 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Leandro G. Neves United States 15 353 328 226 151 85 21 705
Manuel Lamothe Canada 14 322 0.9× 221 0.7× 200 0.9× 145 1.0× 99 1.2× 24 669
David Macaya‐Sanz United States 16 282 0.8× 334 1.0× 235 1.0× 65 0.4× 71 0.8× 31 701
Haktan Suren United States 10 301 0.9× 217 0.7× 162 0.7× 109 0.7× 81 1.0× 13 596
Betty Pelgas Canada 10 341 1.0× 246 0.8× 242 1.1× 113 0.7× 49 0.6× 11 590
Émilie Chancerel France 16 319 0.9× 258 0.8× 166 0.7× 170 1.1× 103 1.2× 27 638
Carol A. Loopstra United States 18 201 0.6× 460 1.4× 478 2.1× 144 1.0× 78 0.9× 28 815
Christophe Boury France 12 358 1.0× 319 1.0× 189 0.8× 143 0.9× 86 1.0× 21 677
Amanda R. De La Torre United States 18 381 1.1× 328 1.0× 381 1.7× 190 1.3× 134 1.6× 26 941
Gancho T. Slavov United Kingdom 9 336 1.0× 326 1.0× 265 1.2× 71 0.5× 50 0.6× 12 680
Johan Fogelqvist Sweden 20 187 0.5× 672 2.0× 230 1.0× 79 0.5× 80 0.9× 22 961

Countries citing papers authored by Leandro G. Neves

Since Specialization
Citations

This map shows the geographic impact of Leandro G. Neves'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 Leandro G. Neves with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Leandro G. Neves more than expected).

Fields of papers citing papers by Leandro G. Neves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leandro G. Neves. 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 Leandro G. Neves. The network helps show where Leandro G. Neves may publish in the future.

Co-authorship network of co-authors of Leandro G. Neves

This figure shows the co-authorship network connecting the top 25 collaborators of Leandro G. Neves. A scholar is included among the top collaborators of Leandro G. Neves 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 Leandro G. Neves. Leandro G. Neves is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Christie, Nanette, Leandro G. Neves, Sanushka Naidoo, et al.. (2022). Haplotype mining panel for genetic dissection and breeding in Eucalyptus. The Plant Journal. 113(1). 174–185. 2 indexed citations
2.
El‐Dien, Omnia Gamal, Macaire M. S. Yuen, Rod Stirling, et al.. (2022). Genomic selection reveals hidden relatedness and increased breeding efficiency in western redcedar polycross breeding. Evolutionary Applications. 15(8). 1291–1312. 5 indexed citations
3.
Lakhssassi, Naoufal, Zhou Zhou, Oussama Badad, et al.. (2021). TILLING-by-Sequencing+ to Decipher Oil Biosynthesis Pathway in Soybeans: A New and Effective Platform for High-Throughput Gene Functional Analysis. International Journal of Molecular Sciences. 22(8). 4219–4219. 9 indexed citations
4.
Ence, Daniel, Katherine E. Smith, Shenghua Fan, et al.. (2021). NLR diversity and candidate fusiform rust resistance genes in loblolly pine. G3 Genes Genomes Genetics. 12(2). 8 indexed citations
5.
Valdisser, Paula Arielle Mendes Ribeiro, Bárbara S. F. Müller, Janeo Eustáquio de Almeida Filho, et al.. (2020). Genome-Wide Association Studies Detect Multiple QTLs for Productivity in Mesoamerican Diversity Panel of Common Bean Under Drought Stress. Frontiers in Plant Science. 11. 574674–574674. 25 indexed citations
6.
Telfer, Emily, Natalie J. Graham, Yongjun Li, et al.. (2019). A high-density exome capture genotype-by-sequencing panel for forestry breeding in Pinus radiata. PLoS ONE. 14(9). e0222640–e0222640. 29 indexed citations
7.
Müller, Bárbara S. F., Janeo Eustáquio de Almeida Filho, Bruno Marco de Lima, et al.. (2018). Independent and Joint‐GWASfor growth traits inEucalyptusby assembling genome‐wide data for 3373 individuals across four breeding populations. New Phytologist. 221(2). 818–833. 45 indexed citations
8.
9.
Müller, Bárbara S. F., Leandro G. Neves, Janeo Eustáquio de Almeida Filho, et al.. (2017). Genomic prediction in contrast to a genome-wide association study in explaining heritable variation of complex growth traits in breeding populations of Eucalyptus. BMC Genomics. 18(1). 524–524. 62 indexed citations
10.
Neves, Leandro G., Márcio F. R. Resende, Christopher Dervinis, et al.. (2017). Population genomics of the eastern cottonwood (Populus deltoides). Ecology and Evolution. 7(22). 9426–9440. 35 indexed citations
11.
Song, Jian, Xiping Yang, Márcio F. R. Resende, et al.. (2016). Natural Allelic Variations in Highly Polyploidy Saccharum Complex. Frontiers in Plant Science. 7. 804–804. 30 indexed citations
12.
Neves, Leandro G., Márcio F. R. Resende, Ana I. Vázquez, et al.. (2016). Genome‐wide association study reveals putative regulators of bioenergy traits in Populus deltoides. New Phytologist. 213(2). 799–811. 79 indexed citations
13.
Westbrook, Jared W., Vikram E. Chhatre, Le‐Shin Wu, et al.. (2015). A Consensus Genetic Map for Pinus taeda and Pinus elliottii and Extent of Linkage Disequilibrium in Two Genotype-Phenotype Discovery Populations of Pinus taeda. G3 Genes Genomes Genetics. 5(8). 1685–1694. 34 indexed citations
14.
Amaral, Fábio Raposo do, et al.. (2015). Ultraconserved Elements Sequencing as a Low-Cost Source of Complete Mitochondrial Genomes and Microsatellite Markers in Non-Model Amniotes. PLoS ONE. 10(9). e0138446–e0138446. 60 indexed citations
15.
Westbrook, Jared W., Alejandro R. Walker, Leandro G. Neves, et al.. (2014). Discovering candidate genes that regulate resin canal number inPinus taedastems by integrating genetic analysis across environments, ages, and populations. New Phytologist. 205(2). 627–641. 44 indexed citations
16.
Neves, Leandro G., John M. Davis, W. Brad Barbazuk, & Matias Kirst. (2013). A High-Density Gene Map of Loblolly Pine (Pinus taedaL.) Based on Exome Sequence Capture Genotyping. G3 Genes Genomes Genetics. 4(1). 29–37. 55 indexed citations
17.
Neves, Leandro G., John M. Davis, W. Brad Barbazuk, & Matias Kirst. (2013). Whole‐exome targeted sequencing of the uncharacterized pine genome. The Plant Journal. 75(1). 146–156. 106 indexed citations
18.
19.
Kirst, Matias, Márcio F. R. Resende, Patricio Muńoz, & Leandro G. Neves. (2011). Capturing and genotyping the genome-wide genetic diversity of trees for association mapping and genomic selection. BMC Proceedings. 5(S7). 10 indexed citations
20.
Neves, Leandro G., John M. Davis, W. Brad Barbazuk, & Matias Kirst. (2011). Targeted sequencing in the loblolly pine (Pinus taeda) megagenome by exome capture. BMC Proceedings. 5(S7). 4 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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