Bernardo Ordás

1.3k total citations
75 papers, 951 citations indexed

About

Bernardo Ordás is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Bernardo Ordás has authored 75 papers receiving a total of 951 indexed citations (citations by other indexed papers that have themselves been cited), including 65 papers in Plant Science, 42 papers in Genetics and 23 papers in Agronomy and Crop Science. Recurrent topics in Bernardo Ordás's work include Genetics and Plant Breeding (43 papers), Genetic Mapping and Diversity in Plants and Animals (42 papers) and Crop Yield and Soil Fertility (19 papers). Bernardo Ordás is often cited by papers focused on Genetics and Plant Breeding (43 papers), Genetic Mapping and Diversity in Plants and Animals (42 papers) and Crop Yield and Soil Fertility (19 papers). Bernardo Ordás collaborates with scholars based in Spain, United States and Algeria. Bernardo Ordás's co-authors include Rosa Ana Malvar Pintos, Pedro Revilla, A. Ordás, Ana Butrón, Pilar Soengas, Rogelio Santiago, M. Cinta Romay, William G. Hill, Jaime Barros and Chris‐Carolin Schön and has published in prestigious journals such as PLANT PHYSIOLOGY, Journal of Agricultural and Food Chemistry and International Journal of Molecular Sciences.

In The Last Decade

Bernardo Ordás

75 papers receiving 915 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bernardo Ordás Spain 19 781 488 219 205 107 75 951
Cleve D. Franks United States 14 799 1.0× 518 1.1× 489 2.2× 216 1.1× 17 0.2× 19 1.0k
Monica A. Menz United States 20 1.4k 1.7× 738 1.5× 325 1.5× 240 1.2× 58 0.5× 30 1.6k
M. J. Carena United States 18 1.7k 2.1× 902 1.8× 667 3.0× 113 0.6× 54 0.5× 45 1.8k
Mark A. Mikel United States 19 1.0k 1.3× 483 1.0× 123 0.6× 281 1.4× 35 0.3× 36 1.1k
Kehui Zhan China 18 935 1.2× 208 0.4× 247 1.1× 304 1.5× 18 0.2× 51 1.1k
Yogesh Vikal India 19 1.1k 1.5× 304 0.6× 70 0.3× 168 0.8× 29 0.3× 87 1.2k
J. Schondelmaier Germany 20 1.6k 2.0× 469 1.0× 235 1.1× 304 1.5× 33 0.3× 26 1.7k
Matthew D. Krakowsky United States 19 826 1.1× 433 0.9× 104 0.5× 203 1.0× 104 1.0× 37 927
Richard Boyles United States 14 484 0.6× 431 0.9× 332 1.5× 103 0.5× 12 0.1× 37 716
Jean‐François Rami France 22 1.3k 1.6× 641 1.3× 379 1.7× 203 1.0× 11 0.1× 44 1.6k

Countries citing papers authored by Bernardo Ordás

Since Specialization
Citations

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

Fields of papers citing papers by Bernardo Ordás

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bernardo Ordás

This figure shows the co-authorship network connecting the top 25 collaborators of Bernardo Ordás. A scholar is included among the top collaborators of Bernardo Ordás 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 Bernardo Ordás. Bernardo Ordás 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.
Avramova, Viktoriya, Monika Frey, Claude Urbany, et al.. (2024). Embracing native diversity to enhance the maximum quantum efficiency of photosystem II in maize. PLANT PHYSIOLOGY. 197(1). 2 indexed citations
2.
Ordás, Bernardo, Rosa Ana Malvar Pintos, Pedro Revilla, & A. Ordás. (2023). Effect of three cycles of recurrent selection for yield in four Spanish landraces of maize. Euphytica. 219(7). 2 indexed citations
3.
Albrecht, Kenneth A., et al.. (2021). Genetic Diversity for Dual Use Maize: Grain and Second-Generation Biofuel. Agronomy. 11(2). 230–230. 5 indexed citations
4.
Tortosa, María, et al.. (2020). Inheritance and metabolomics of the resistance of two F2 populations of Phaseolus spp. to Acanthoscelides obtectus. Arthropod-Plant Interactions. 14(5). 641–651. 6 indexed citations
5.
Kumar, Arun, et al.. (2020). The Senescence (Stay-Green)—An Important Trait to Exploit Crop Residuals for Bioenergy. Energies. 13(4). 790–790. 13 indexed citations
6.
Yi, Qiang, et al.. (2019). Dissecting the genetics of cold tolerance in a multiparental maize population. Theoretical and Applied Genetics. 133(2). 503–516. 30 indexed citations
7.
Mayer, Manfred, Thomas Presterl, Eva Bauer, et al.. (2019). European maize landraces made accessible for plant breeding and genome-based studies. Theoretical and Applied Genetics. 132(12). 3333–3345. 38 indexed citations
8.
Pintos, Rosa Ana Malvar, et al.. (2019). Mapping of resistance to corn borers in a MAGIC population of maize. BMC Plant Biology. 19(1). 431–431. 39 indexed citations
9.
Pintos, Rosa Ana Malvar, et al.. (2018). Fine analysis of a genomic region involved in resistance to Mediterranean corn borer. BMC Plant Biology. 18(1). 169–169. 3 indexed citations
10.
11.
Ordás, Bernardo, et al.. (2017). QTL Mapping for Yield and Resistance against Mediterranean Corn Borer in Maize. Frontiers in Plant Science. 8. 698–698. 17 indexed citations
12.
Barros, Jaime, Aloia Romaní, Susana Peleteiro, Gil Garrote, & Bernardo Ordás. (2016). Second-generation bioethanol of hydrothermally pretreated stover biomass from maize genotypes. Biomass and Bioenergy. 90. 42–49. 10 indexed citations
13.
Unterseer, Sandra, Saurabh D. Pophaly, Manfred Mayer, et al.. (2016). A comprehensive study of the genomic differentiation between temperate Dent and Flint maize. Genome biology. 17(1). 137–137. 45 indexed citations
14.
Revilla, Pedro, et al.. (2013). Genetic diversity in Algerian maize (Zea mays L) landraces using SSR markers. Maydica. 58. 304–310. 24 indexed citations
15.
Ordás, Bernardo, et al.. (2013). Relationship Between Time to Flowering and Stalk and Ear Damage by Second Generation Corn Borers. Journal of Economic Entomology. 106(3). 1234–1239. 12 indexed citations
16.
Carracedo, Ángel, et al.. (2012). Evaluation of three cycles of full-sib reciprocal recurrent selection in two maize populations from the Northeast of Spain. Euphytica. 191(2). 301–310. 5 indexed citations
17.
Ordás, Bernardo, Rosa Ana Malvar Pintos, A. Ordás, & Pedro Revilla. (2008). Reciprocal Differences in Sugary × Sugary Enhancer Sweet Corn Hybrids. Journal of the American Society for Horticultural Science. 133(6). 777–782. 7 indexed citations
18.
Ordás, Bernardo, Rosa Ana Malvar Pintos, & William G. Hill. (2008). Genetic variation and quantitative trait loci associated with developmental stability and the environmental correlation between traits in maize. Genetics Research. 90(5). 385–395. 49 indexed citations
19.
Ordás, Bernardo, Rosa Ana Malvar Pintos, Pilar Soengas, A. Ordás, & Pedro Revilla. (2004). sugary1 inbreds to improve Sugary enhancer1 hybrids of sweet corn for adaptation to cold areas with short growing seasons. Maydica. 49(4). 279–288. 2 indexed citations
20.
Revilla, Pedro, et al.. (2000). Genetic background effect on germination of su1 maize and viability of the su1 allele. Maydica. 45(2). 109–111. 13 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 Cleve D. Franks Breakdown of academic impact, for papers by Monica A. Menz Breakdown of academic impact, for papers by M. J. Carena Breakdown of academic impact, for papers by Mark A. Mikel Breakdown of academic impact, for papers by Kehui Zhan Breakdown of academic impact, for papers by Yogesh Vikal Breakdown of academic impact, for papers by J. Schondelmaier Breakdown of academic impact, for papers by Matthew D. Krakowsky Breakdown of academic impact, for papers by Richard Boyles Breakdown of academic impact, for papers by Jean‐François Rami
Rankless by CCL
2026