Leonardo S. Vanzetti

1.4k total citations
41 papers, 938 citations indexed

About

Leonardo S. Vanzetti is a scholar working on Plant Science, Agronomy and Crop Science and Genetics. According to data from OpenAlex, Leonardo S. Vanzetti has authored 41 papers receiving a total of 938 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Plant Science, 13 papers in Agronomy and Crop Science and 9 papers in Genetics. Recurrent topics in Leonardo S. Vanzetti's work include Wheat and Barley Genetics and Pathology (31 papers), Genetics and Plant Breeding (18 papers) and Plant Disease Resistance and Genetics (13 papers). Leonardo S. Vanzetti is often cited by papers focused on Wheat and Barley Genetics and Pathology (31 papers), Genetics and Plant Breeding (18 papers) and Plant Disease Resistance and Genetics (13 papers). Leonardo S. Vanzetti collaborates with scholars based in Argentina, United States and Ecuador. Leonardo S. Vanzetti's co-authors include Marcelo Helguera, Jorge Dubcovsky, Stephen Pearce, Diego Zavallo, Daniel J. Miralles, Youngjun Mo, Malena Moiraghi, Gabriela Pérez, Marcelo Soria and Iago Hale and has published in prestigious journals such as Proceedings of the National Academy of Sciences, SHILAP Revista de lepidopterología and PLANT PHYSIOLOGY.

In The Last Decade

Leonardo S. Vanzetti

41 papers receiving 897 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Leonardo S. Vanzetti Argentina 16 848 242 237 179 73 41 938
M. Pilar Gracia Spain 21 938 1.1× 229 0.9× 319 1.3× 99 0.6× 34 0.5× 44 1.0k
Bodo Raatz Colombia 20 1.0k 1.2× 208 0.9× 129 0.5× 150 0.8× 23 0.3× 42 1.1k
Amita Mohan United States 15 789 0.9× 170 0.7× 197 0.8× 133 0.7× 29 0.4× 26 838
Reynante Lacsamana Ordonio Japan 15 546 0.6× 154 0.6× 204 0.9× 237 1.3× 42 0.6× 19 685
David Benscher United States 14 954 1.1× 167 0.7× 332 1.4× 108 0.6× 38 0.5× 27 1.0k
Eduardo Alano Vieira Brazil 18 854 1.0× 110 0.5× 107 0.5× 124 0.7× 34 0.5× 110 985
Jesús Moreno‐González Spain 17 975 1.1× 147 0.6× 779 3.3× 106 0.6× 60 0.8× 34 1.1k
Sue Broughton Australia 19 842 1.0× 114 0.5× 219 0.9× 299 1.7× 21 0.3× 35 936
Cleve D. Franks United States 14 799 0.9× 489 2.0× 518 2.2× 216 1.2× 19 0.3× 19 1.0k
Reg Lance Australia 23 1.6k 1.8× 256 1.1× 511 2.2× 197 1.1× 149 2.0× 53 1.7k

Countries citing papers authored by Leonardo S. Vanzetti

Since Specialization
Citations

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

Fields of papers citing papers by Leonardo S. Vanzetti

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Leonardo S. Vanzetti. 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 Leonardo S. Vanzetti. The network helps show where Leonardo S. Vanzetti may publish in the future.

Co-authorship network of co-authors of Leonardo S. Vanzetti

This figure shows the co-authorship network connecting the top 25 collaborators of Leonardo S. Vanzetti. A scholar is included among the top collaborators of Leonardo S. Vanzetti 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 Leonardo S. Vanzetti. Leonardo S. Vanzetti 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.
Zhang, Junli, Chengxia Li, Wenjun Zhang, et al.. (2023). Wheat plant height locus RHT25 encodes a PLATZ transcription factor that interacts with DELLA (RHT1). Proceedings of the National Academy of Sciences. 120(19). e2300203120–e2300203120. 26 indexed citations
2.
Prado, Santiago Alvarez, Leonardo S. Vanzetti, Fernanda G. González, et al.. (2023). Physiological and environmental dissection of developmental drivers for predicting heading date in wheat based on Vrn1, Ppd1 and Eps-D1 allelic characterization. Field Crops Research. 292. 108810–108810. 6 indexed citations
3.
4.
Dinolfo, María I., et al.. (2022). Interaction of methyl-jasmonate and Fusarium poae in bread wheat. Fungal Biology. 126(11-12). 786–792. 3 indexed citations
5.
Zavallo, Diego, Mariana del Vas, Sebastián Asurmendi, et al.. (2022). Genome-wide identification of MITE-derived microRNAs and their targets in bread wheat. BMC Genomics. 23(1). 154–154. 12 indexed citations
6.
Pontaroli, Ana Clara, et al.. (2021). Increasing grain yield in bread wheat ( Triticum aestivum ) by selection for high spike fertility index. Plant Breeding. 140(4). 575–584. 3 indexed citations
7.
Vanzetti, Leonardo S., et al.. (2021). The physiology and genetics behind fruiting efficiency: a promising spike trait to improve wheat yield potential. Journal of Experimental Botany. 72(11). 3987–4004. 11 indexed citations
8.
Vanzetti, Leonardo S., Ignacio I. Terrile, Andreas Börner, et al.. (2020). Identification and validation of QTL for spike fertile floret and fruiting efficiencies in hexaploid wheat (Triticum aestivum L.). Theoretical and Applied Genetics. 133(9). 2655–2671. 10 indexed citations
9.
Zavallo, Diego, et al.. (2020). Genomic re-assessment of the transposable element landscape of the potato genome. Plant Cell Reports. 39(9). 1161–1174. 13 indexed citations
10.
Abbate, Pablo Eduardo, et al.. (2019). Haplotype block analysis of an Argentinean hexaploid wheat collection and GWAS for yield components and adaptation. BMC Plant Biology. 19(1). 553–553. 55 indexed citations
11.
Mo, Youngjun, Leonardo S. Vanzetti, Iago Hale, et al.. (2018). Identification and characterization of Rht25, a locus on chromosome arm 6AS affecting wheat plant height, heading time, and spike development. Theoretical and Applied Genetics. 131(10). 2021–2035. 99 indexed citations
12.
Zavallo, Diego, et al.. (2018). MITE Tracker: an accurate approach to identify miniature inverted-repeat transposable elements in large genomes. BMC Bioinformatics. 19(1). 348–348. 78 indexed citations
13.
Lewis, Silvina, et al.. (2017). MS INTA 416: A new Argentinean wheat cultivar carrying Fhb1 and Lr47 resistance genes. Crop Breeding and Applied Biotechnology. 17(3). 280–286. 9 indexed citations
14.
Helguera, Marcelo, Máximo Rivarola, Bernardo Clavijo, et al.. (2014). New insights into the wheat chromosome 4D structure and virtual gene order, revealed by survey pyrosequencing. Plant Science. 233. 200–212. 15 indexed citations
15.
Kippes, Néstor, Jie Zhu, Andrew Chen, et al.. (2013). Fine mapping and epistatic interactions of the vernalization gene VRN-D4 in hexaploid wheat. Molecular Genetics and Genomics. 289(1). 47–62. 42 indexed citations
16.
Vanzetti, Leonardo S., et al.. (2012). RYR1 gene variability and effect on meat pH in Argentinean hybrids swines. Redalyc (Universidad Autónoma del Estado de México). 14(1). 19–23. 10 indexed citations
17.
Moiraghi, Malena, et al.. (2010). Relationship Between Soft Wheat Flour Physicochemical Composition and Cookie‐Making Performance. Cereal Chemistry. 88(2). 130–136. 53 indexed citations
18.
Cantù, Dario, Leonardo S. Vanzetti, Marta Matvienko, et al.. (2010). Small RNAs, DNA methylation and transposable elements in wheat. BMC Genomics. 11(1). 408–408. 69 indexed citations
19.
Vanzetti, Leonardo S., et al.. (2009). Genetic variability for waxy genes in Argentinean bread wheat germplasm. Electronic Journal of Biotechnology. 12(1). 4–5. 14 indexed citations
20.
Vanzetti, Leonardo S., Juan Carlos Brevis, Jorge Dubcovsky, & Marcelo Helguera. (2006). Identification of microsatellites linked to Lr47. Electronic Journal of Biotechnology. 9(3). 0–0. 1 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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