Natalia de León
- Plant Science top 0.5%
- Genetics top 1%
- Molecular Biology top 5%
- Agronomy and Crop Science top 1%
- Biomedical Engineering top 10%
- Co-authors
- Shawn M. KaepplerRajandeep S. SekhonC. Robin BuellCandice N. HirschCandice N. HanseyBrieanne VaillancourtKevin L. ChildsJ. G. Coors
- Topics
- Genetic Mapping and Diversity in Plants and Animals (65 papers)Genetics and Plant Breeding (47 papers)Genetic and phenotypic traits in livestock (26 papers)
- Journals
- NatureNature CommunicationsPLoS ONE
- Partner nations
- United StatesGermanyVenezuela
In The Last Decade
Natalia de León
98 papers receiving 4.0k citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Plant Science 3.1k
- Genetics 1.6k
- Molecular Biology 1.4k
- Agronomy and Crop Science 641
- Biomedical Engineering 321
Countries citing papers authored by Natalia de León
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
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
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 2 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | 0 | |
| 6 | 26 | |
| 7 | 1 | |
| 8 | 18 | |
| 9 | 8 | |
| 10 | 40 | |
| 11 | 21 | |
| 12 | 38 | |
| 13 | 15 | |
| 14 | 53 | |
| 15 | 107 | |
| 16 | Insights into the Maize Pan-Genome and Pan-Transcriptome breakdown → | 360 |
| 17 | Cell wall composition and biomass digestibility diversity in Mexican maize (Zea mays L) landraces and CIMMYT inbred lines | 7 |
| 18 | 3 | |
| 19 | 9 | |
| 20 | 26 |
About Natalia de León
Natalia de León is a scholar working on Agronomy and Crop Science, Genetics and Plant Science, having authored 100 papers that have together received 4.1k indexed citations. Recurring topics across this 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). The work is most often cited by research in Plant Science (3.1k citations), Agronomy and Crop Science (641 citations) and Genetics (1.6k citations). Natalia de León has collaborated with scholars based in United States, Germany and Venezuela. Frequent 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. Their work appears in journals such as Nature, 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.