Juan Rosas

453 total citations
19 papers, 292 citations indexed

About

Juan Rosas is a scholar working on Plant Science, Genetics and Surgery. According to data from OpenAlex, Juan Rosas has authored 19 papers receiving a total of 292 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Plant Science, 12 papers in Genetics and 3 papers in Surgery. Recurrent topics in Juan Rosas's work include Genetic Mapping and Diversity in Plants and Animals (12 papers), Rice Cultivation and Yield Improvement (6 papers) and Genetics and Plant Breeding (6 papers). Juan Rosas is often cited by papers focused on Genetic Mapping and Diversity in Plants and Animals (12 papers), Rice Cultivation and Yield Improvement (6 papers) and Genetics and Plant Breeding (6 papers). Juan Rosas collaborates with scholars based in Uruguay, United States and Colombia. Juan Rosas's co-authors include Victoria Bonnecarrère, Lucı́a Gutiérrez, Pedro Blanco, Susan R. McCouch, Gonzalo Carracelas, John Hornbuckle, Álvaro Roel, Eduardo Graterol, Juan David Arbelaez and Jean‐Luc Jannink and has published in prestigious journals such as Crop Science, Agricultural Water Management and Toxicon.

In The Last Decade

Juan Rosas

18 papers receiving 285 citations

Peers

Juan Rosas
So-Myeong Lee South Korea
Zuobin Ma China
R. Esten Mason United States
Juan Rosas
Citations per year, relative to Juan Rosas Juan Rosas (= 1×) peers Dipti Ranjan Pani

Countries citing papers authored by Juan Rosas

Since Specialization
Citations

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

Fields of papers citing papers by Juan Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Juan Rosas. 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 Juan Rosas. The network helps show where Juan Rosas may publish in the future.

Co-authorship network of co-authors of Juan Rosas

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

All Works

19 of 19 papers shown
3.
Blanco, Pedro, et al.. (2023). Consolidating 23 years of historical data from an irrigated subtropical rice breeding program in Uruguay. Crop Science. 63(3). 1300–1315. 4 indexed citations
5.
Rosas, Juan, et al.. (2020). Epistasis and Quantitative Resistance to Pyricularia oryzae Revealed by GWAS in Advanced Rice Breeding Populations. Agriculture. 10(12). 622–622. 3 indexed citations
6.
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Bonnecarrère, Victoria, et al.. (2019). Economic impact of marker-assisted selection and rapid generation advance on breeding programs. Euphytica. 215(12). 7 indexed citations
9.
Carracelas, Gonzalo, John Hornbuckle, Juan Rosas, & Álvaro Roel. (2019). Irrigation management strategies to increase water productivity in Oryza sativa (rice) in Uruguay. Agricultural Water Management. 222. 161–172. 49 indexed citations
10.
Rosas, Juan, et al.. (2018). Multienvironment Models Increase Prediction Accuracy of Complex Traits in Advanced Breeding Lines of Rice. Crop Science. 58(4). 1519–1530. 40 indexed citations
11.
García, Juan Agustín, et al.. (2018). A survey of Senecio spp. affecting livestock in Uruguay and their associated pyrrolizidine alkaloid content. Ciência Rural. 48(2). 2 indexed citations
12.
Gutiérrez, Lucı́a, et al.. (2018). Genome‐Wide Association Study Using Historical Breeding Populations Discovers Genomic Regions Involved in High‐Quality Rice. The Plant Genome. 11(3). 27 indexed citations
13.
Rosas, Juan, Sebastián Martínez, Pedro Blanco, et al.. (2017). Resistance to Multiple Temperate and Tropical Stem and Sheath Diseases of Rice. The Plant Genome. 11(1). 12 indexed citations
14.
Rosas, Juan, Sebastián Martínez, Victoria Bonnecarrère, et al.. (2016). Comparison of Phenotyping Methods for Resistance to Stem Rot and Aggregated Sheath Spot in Rice. Crop Science. 56(4). 1619–1627. 5 indexed citations
15.
Rosas, Juan, et al.. (2014). One-step, codominant detection of imidazolinone resistance mutations in weedy rice (Oryza sativa L.). Electronic Journal of Biotechnology. 17(2). 95–101. 22 indexed citations
16.
Bonnecarrère, Victoria, et al.. (2014). Candidate gene markers associated with cold tolerance in vegetative stage of rice (Oryza sativa L.). Euphytica. 203(2). 385–398. 6 indexed citations
17.
Rosas, Juan, et al.. (2009). Guía clínica basada en evidencia para el manejo del pie diabético. 25(6). 481–526. 7 indexed citations
18.
Rosas, Juan, et al.. (1969). EXTRA-ARTICULAR SUBTALAR ARTHRODESIS. Journal of Bone and Joint Surgery-british Volume. 45–52. 2 indexed citations
19.
Rosas, Juan, et al.. (1969). Extra-articular subtalar arthrodesis. A review of 286 operations.. PubMed. 51(1). 45–52. 12 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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