Ulises Rosas

1.1k total citations
30 papers, 695 citations indexed

About

Ulises Rosas is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Food Science. According to data from OpenAlex, Ulises Rosas has authored 30 papers receiving a total of 695 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Plant Science, 11 papers in Ecology, Evolution, Behavior and Systematics and 11 papers in Food Science. Recurrent topics in Ulises Rosas's work include Botanical Research and Applications (11 papers), Plant Diversity and Evolution (11 papers) and Plant Molecular Biology Research (9 papers). Ulises Rosas is often cited by papers focused on Botanical Research and Applications (11 papers), Plant Diversity and Evolution (11 papers) and Plant Molecular Biology Research (9 papers). Ulises Rosas collaborates with scholars based in Mexico, United States and United Kingdom. Ulises Rosas's co-authors include Michael D. Purugganan, Joshua A. Banta, Christina L. Richards, Jonathan M. Flowers, Royce Zhou, Kenneth D. Birnbaum, Daniela Ristova, Gloria M. Coruzzi, Gabriel Krouk and Khaled M. Hazzouri and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Ulises Rosas

29 papers receiving 682 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ulises Rosas Mexico 14 475 248 154 84 69 30 695
Mingnan Qu China 21 843 1.8× 411 1.7× 83 0.5× 59 0.7× 29 0.4× 44 1.0k
Xueli Lu China 13 616 1.3× 207 0.8× 95 0.6× 41 0.5× 32 0.5× 27 748
Ching Man Wai United States 18 767 1.6× 490 2.0× 83 0.5× 175 2.1× 37 0.5× 39 976
Dion K. Harrison Australia 10 227 0.5× 322 1.3× 119 0.8× 54 0.6× 49 0.7× 24 588
Marie Kočová Czechia 19 950 2.0× 260 1.0× 78 0.5× 58 0.7× 38 0.6× 35 1.1k
Stéphanie M. Swarbreck United Kingdom 15 877 1.8× 324 1.3× 56 0.4× 100 1.2× 24 0.3× 25 1.1k
Madana M.R. Ambavaram United States 9 1.3k 2.7× 646 2.6× 107 0.7× 58 0.7× 38 0.6× 12 1.5k
Darren Plett Australia 21 2.2k 4.6× 390 1.6× 129 0.8× 60 0.7× 97 1.4× 33 2.3k
Rahul Bhosale United Kingdom 17 1.2k 2.4× 523 2.1× 57 0.4× 43 0.5× 27 0.4× 38 1.4k
Shengnan Men China 7 1.1k 2.2× 222 0.9× 78 0.5× 77 0.9× 31 0.4× 7 1.2k

Countries citing papers authored by Ulises Rosas

Since Specialization
Citations

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

Fields of papers citing papers by Ulises Rosas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ulises Rosas

This figure shows the co-authorship network connecting the top 25 collaborators of Ulises Rosas. A scholar is included among the top collaborators of Ulises 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 Ulises Rosas. Ulises Rosas 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.
Rosas, Ulises, et al.. (2025). Root growth and resource allocation in seedlings of two mezcal agave species under salt stress. Journal of Arid Environments. 231. 105445–105445. 1 indexed citations
2.
3.
Rosas, Ulises, et al.. (2022). Evolution of flower allometry and pigmentation in Mammillaria haageana (Cactaceae). BMC Plant Biology. 22(1). 52–52. 3 indexed citations
4.
Wegier, Ana, et al.. (2021). Evaluating the monophyly of Mammillaria series Supertextae (Cactaceae). PhytoKeys. 177. 25–42. 7 indexed citations
5.
Rosas, Ulises, et al.. (2021). Persistent adventitious and basal root development during salt stress tolerance in Echinocactus platyacanthus (Cactaceae) seedlings. Journal of Arid Environments. 187. 104431–104431. 5 indexed citations
6.
Arias, Salvador, et al.. (2021). Growth Patterns in Seedling Roots of the Pincushion Cactus Mammillaria Reveal Trends of Intra- and Inter-Specific Variation. Frontiers in Plant Science. 12. 750623–750623. 2 indexed citations
7.
Arias, Salvador, Sylvie Ferrand, Michael D. Purugganan, et al.. (2020). The chloroplast genome of the pincushion cactus Mammilllaria haageana subsp. san-angelensis, a Mexican endangered species. SHILAP Revista de lepidopterología. 5(3). 2038–2039. 4 indexed citations
8.
Kalay, Gizem, et al.. (2019). Redundant and Cryptic Enhancer Activities of the Drosophila   yellow Gene. Genetics. 212(1). 343–360. 13 indexed citations
9.
Fernández‐Marcos, María, Crisanto Gutiérrez, Ulises Rosas, et al.. (2019). Natural Root Cellular Variation in Responses to Osmotic Stress in Arabidopsis thaliana Accessions. Genes. 10(12). 983–983. 17 indexed citations
10.
Rosas, Ulises, et al.. (2019). A Linear Model to Describe Branching and Allometry in Root Architecture. Plants. 8(7). 218–218. 5 indexed citations
11.
12.
Flowers, Jonathan M., Khaled M. Hazzouri, Gina M. Pham, et al.. (2015). Whole-Genome Resequencing Reveals Extensive Natural Variation in the Model Green Alga Chlamydomonas reinhardtii. The Plant Cell. 27(9). 2353–2369. 63 indexed citations
13.
Hazzouri, Khaled M., Jonathan M. Flowers, Hussam S. M. Khierallah, et al.. (2015). Whole genome re-sequencing of date palms yields insights into diversification of a fruit tree crop. Nature Communications. 6(1). 8824–8824. 124 indexed citations
14.
Rosas, Ulises, Qiguang Xie, Joshua A. Banta, et al.. (2014). Variation in Arabidopsis flowering time associated with cis-regulatory variation in CONSTANS. Nature Communications. 5(1). 3651–3651. 67 indexed citations
15.
Rosas, Ulises, Angélica Cibrián‐Jaramillo, Daniela Ristova, et al.. (2013). Integration of responses within and across Arabidopsis natural accessions uncovers loci controlling root systems architecture. Proceedings of the National Academy of Sciences. 110(37). 15133–15138. 78 indexed citations
16.
Richards, Christina L., et al.. (2012). Genome-Wide Patterns of Arabidopsis Gene Expression in Nature. PLoS Genetics. 8(4). e1002662–e1002662. 79 indexed citations
17.
Rosas, Ulises, et al.. (2012). Developmental Reaction Norms for Water Stressed Seedlings of Succulent Cacti. PLoS ONE. 7(3). e33936–e33936. 13 indexed citations
18.
O’Neill, Carmel M., Colin Morgan, Ulises Rosas, et al.. (2011). Towards the genetic architecture of seed lipid biosynthesis and accumulation in Arabidopsis thaliana. Heredity. 108(2). 115–123. 22 indexed citations
19.
Rosas, Ulises, Nick Barton, Lucy Copsey, Pierre Barbier de Reuille, & Enrico Coen. (2010). Cryptic Variation between Species and the Basis of Hybrid Performance. PLoS Biology. 8(7). e1000429–e1000429. 40 indexed citations
20.
O’Neill, Carmel M., Colin Morgan, Hendrik Tschoep, et al.. (2008). Six new recombinant inbred populations for the study of quantitative traits in Arabidopsis thaliana. Theoretical and Applied Genetics. 116(8). 1183–1185. 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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