Natalia de León

7.4k total citations · 1 hit paper
100 papers, 4.1k citations indexed

About

Natalia de León is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Natalia de León has authored 100 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 77 papers in Plant Science, 66 papers in Genetics and 25 papers in Agronomy and Crop Science. Recurrent topics in Natalia de León's work include Genetic Mapping and Diversity in Plants and Animals (65 papers), Genetics and Plant Breeding (47 papers) and Genetic and phenotypic traits in livestock (26 papers). Natalia de León is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (65 papers), Genetics and Plant Breeding (47 papers) and Genetic and phenotypic traits in livestock (26 papers). Natalia de León collaborates with scholars based in United States, Germany and Venezuela. Natalia de León's co-authors include Shawn M. Kaeppler, Rajandeep S. Sekhon, C. Robin Buell, Candice N. Hirsch, Candice N. Hansey, Brieanne Vaillancourt, Kevin L. Childs, J. G. Coors, Aaron J. Lorenz and Haining Lin and has published in prestigious journals such as Nature, Nature Communications and PLoS ONE.

In The Last Decade

Natalia de León

98 papers receiving 4.0k citations

Hit Papers

Insights into the Maize Pan-Genome and Pan-Transcriptome   2014 2026 2018 2022 2014 100 200 300
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Insights into the Maize Pan-Genome and Pan-Transcriptome  
    2014 360 citations Candice N. Hirsch, James M. Johnson et al. The Plant Cell profile →

Peers

Natalia de León
Alexander E. Lipka United States
Geoffrey P. Morris United States
Emma Mace Australia
Harkamal Walia United States
Stephen P. Moose United States
Aaron J. Lorenz United States
Márcio F. R. Resende United States
Diane E. Mather Australia
Rod J. Snowdon Germany
Thomas Lübberstedt United States
Alexander E. Lipka United States
Natalia de León
Citations per year, relative to Natalia de León Natalia de León (= 1×) peers Alexander E. Lipka

Countries citing papers authored by Natalia de León

Since Specialization
Citations

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

Fields of papers citing papers by Natalia de León

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Natalia de León. 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 Natalia de León. The network helps show where Natalia de León may publish in the future.

Co-authorship network of co-authors of Natalia de León

This figure shows the co-authorship network connecting the top 25 collaborators of Natalia de León. A scholar is included among the top collaborators of Natalia de León 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 Natalia de León. Natalia de León 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.
Fan, Jiahao, et al.. (2025). Mitigating NDVI saturation in imagery of dense and healthy vegetation. ISPRS Journal of Photogrammetry and Remote Sensing. 227. 234–250. 1 indexed citations
2.
Adak, Alper, Seth C. Murray, Nithya Subramanian, et al.. (2024). Photoperiod associated late flowering reaction norm: Dissecting loci and genomic-enviromic associated prediction in maize. Field Crops Research. 311. 109380–109380. 2 indexed citations
3.
León, Natalia de, et al.. (2024). Modeling the impact of resource allocation decisions on genomic prediction using maize multi‐environment data. Crop Science. 64(5). 2748–2767. 1 indexed citations
4.
Qiu, Yinjie, et al.. (2023). Genetic analysis of pericarp pigmentation variation in Corn Belt dent maize. G3 Genes Genomes Genetics. 14(1). 1 indexed citations
5.
Martinell, Brian, et al.. (2023). A practical method to improve the efficiency of pollination in maize breeding and genetics research. Crop Science. 63(5). 2778–2792.
6.
Wallace, Jason G., James C. Schnable, Judith M. Kolkman, et al.. (2023). Yield prediction through integration of genetic, environment, and management data through deep learning. G3 Genes Genomes Genetics. 13(4). 26 indexed citations
7.
8.
Lopez‐Cruz, Marco, Jacob D. Washburn, Natalia de León, et al.. (2023). Leveraging data from the Genomes-to-Fields Initiative to investigate genotype-by-environment interactions in maize in North America. Nature Communications. 14(1). 6904–6904. 18 indexed citations
9.
Hundley, Hope, Vasanth Singan, Yuko Yoshinaga, et al.. (2022). Genetic mapping and prediction of flowering time and plant height in a maize Stiff Stalk MAGIC population. Genetics. 221(2). 8 indexed citations
10.
Fan, Jiahao, et al.. (2022). Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data. Remote Sensing. 14(13). 3052–3052. 40 indexed citations
11.
Li, Zhi, Peng Zhou, Rafael Della Coletta, et al.. (2020). Single‐parent expression drives dynamic gene expression complementation in maize hybrids. The Plant Journal. 105(1). 93–107. 21 indexed citations
12.
Gage, Joseph L., Michael White, Jode W. Edwards, Shawn M. Kaeppler, & Natalia de León. (2018). Selection Signatures Underlying Dramatic Male Inflorescence Transformation During Modern Hybrid Maize Breeding. Genetics. 210(3). 1125–1138. 38 indexed citations
13.
Gage, Joseph L., Natalia de León, & Murray K. Clayton. (2018). Comparing Genome-Wide Association Study Results from Different Measurements of an Underlying Phenotype. G3 Genes Genomes Genetics. 8(11). 3715–3722. 15 indexed citations
14.
Gage, Joseph L., Nathan D. Miller, Edgar P. Spalding, Shawn M. Kaeppler, & Natalia de León. (2017). TIPS: a system for automated image-based phenotyping of maize tassels. Plant Methods. 13(1). 21–21. 53 indexed citations
15.
Hirsch, Candice N., Cory D. Hirsch, Alex B. Brohammer, et al.. (2016). Draft Assembly of Elite Inbred Line PH207 Provides Insights into Genomic and Transcriptome Diversity in Maize. The Plant Cell. 28(11). 2700–2714. 107 indexed citations
16.
Hirsch, Candice N., James M. Johnson, Rajandeep S. Sekhon, et al.. (2014). Insights into the Maize Pan-Genome and Pan-Transcriptome  . The Plant Cell. 26(1). 121–135. 360 indexed citations breakdown →
17.
Palacios‐Rojas, Natalia, et al.. (2013). Cell wall composition and biomass digestibility diversity in Mexican maize (Zea mays L) landraces and CIMMYT inbred lines. Maydica. 58(1). 21–33. 7 indexed citations
18.
Howard, Nicholas P., Dennis P. Stimart, Natalia de León, Michael J. Havey, & William Martin. (2012). Diallel Analysis of Floral Longevity in Impatiens walleriana. Journal of the American Society for Horticultural Science. 137(1). 47–50. 3 indexed citations
19.
Johnson, James M., et al.. (2012). A high-throughput core sampling device for the evaluation of maize stalk composition. Biotechnology for Biofuels. 5(1). 27–27. 9 indexed citations
20.
Rosa, Guilherme J. M., Natalia de León, & Artur J.M. Rosa. (2006). Review of microarray experimental design strategies for genetical genomics studies. Physiological Genomics. 28(1). 15–23. 26 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Alexander E. Lipka Breakdown of academic impact, for papers by Geoffrey P. Morris Breakdown of academic impact, for papers by Emma Mace Breakdown of academic impact, for papers by Harkamal Walia Breakdown of academic impact, for papers by Stephen P. Moose Breakdown of academic impact, for papers by Aaron J. Lorenz Breakdown of academic impact, for papers by Márcio F. R. Resende Breakdown of academic impact, for papers by Diane E. Mather Breakdown of academic impact, for papers by Rod J. Snowdon Breakdown of academic impact, for papers by Thomas Lübberstedt
Rankless by CCL
2026