Daniel Ariza-Suárez

444 total citations
14 papers, 257 citations indexed

About

Daniel Ariza-Suárez is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Daniel Ariza-Suárez has authored 14 papers receiving a total of 257 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Plant Science, 4 papers in Genetics and 2 papers in Agronomy and Crop Science. Recurrent topics in Daniel Ariza-Suárez's work include Plant pathogens and resistance mechanisms (9 papers), Genetics and Plant Breeding (8 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Daniel Ariza-Suárez is often cited by papers focused on Plant pathogens and resistance mechanisms (9 papers), Genetics and Plant Breeding (8 papers) and Genetic Mapping and Diversity in Plants and Animals (4 papers). Daniel Ariza-Suárez collaborates with scholars based in Colombia, Switzerland and United States. Daniel Ariza-Suárez's co-authors include Bodo Raatz, Juan De La Hoz, Juan David Lobaton, Jorge Duitama, Bruno Studer, Héctor Fabio Buendía, Beat Keller, Steve Beebe, Stephen Beebe and Tamara Miller and has published in prestigious journals such as SHILAP Revista de lepidopterología, Bioinformatics and The Plant Journal.

In The Last Decade

Daniel Ariza-Suárez

14 papers receiving 253 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Daniel Ariza-Suárez Colombia	7	246	58	43	18	9	14	257
Yongchao Hao China	7	173 0.7×	58 1.0×	31 0.7×	38 2.1×	6 0.7×	12	193
Carol Powers United States	9	264 1.1×	116 2.0×	49 1.1×	48 2.7×	6 0.7×	12	278
Bisheng Fu China	11	332 1.3×	40 0.7×	20 0.5×	28 1.6×	8 0.9×	21	346
Weilong Xie Canada	10	312 1.3×	45 0.8×	46 1.1×	37 2.1×	18 2.0×	12	323
Tobias Barber United Kingdom	5	271 1.1×	185 3.2×	42 1.0×	12 0.7×	6 0.7×	6	292
Andrea C. Fernandez United States	8	294 1.2×	30 0.5×	29 0.7×	28 1.6×	10 1.1×	9	314
Nick Gosman United Kingdom	6	274 1.1×	152 2.6×	50 1.2×	10 0.6×	12 1.3×	6	294
Deepender Kumar India	5	169 0.7×	94 1.6×	22 0.5×	29 1.6×	4 0.4×	5	186
Tatiana Suprunova Israel	5	299 1.2×	106 1.8×	43 1.0×	52 2.9×	8 0.9×	7	315
Alisson Fernando Chioratto Brazil	9	332 1.3×	31 0.5×	41 1.0×	24 1.3×	21 2.3×	12	348

Countries citing papers authored by Daniel Ariza-Suárez

Since Specialization

Citations

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

Fields of papers citing papers by Daniel Ariza-Suárez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daniel Ariza-Suárez. 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 Daniel Ariza-Suárez. The network helps show where Daniel Ariza-Suárez may publish in the future.

Co-authorship network of co-authors of Daniel Ariza-Suárez

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

All Works

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14 of 14 papers shown

Gezan, Salvador A., et al.. (2024). Mr.Bean: a comprehensive statistical and visualization application for modeling agricultural field trials data. Frontiers in Plant Science. 14. 1290078–1290078. 4 indexed citations

Ruttink, Tom, et al.. (2024). GWAS for Drought Resilience Traits in Red Clover (Trifolium pratense L.). Genes. 15(10). 1347–1347. 2 indexed citations

Turchetta, Matteo, Daniel Ariza-Suárez, Steven Yates, et al.. (2023). ChromaX: a fast and scalable breeding program simulator. Bioinformatics. 39(12). 4 indexed citations

Lobaton, Juan David, Milan O. Urban, Daniel Ariza-Suárez, et al.. (2023). Interspecific common bean population derived from Phaseolus acutifolius using a bridging genotype demonstrate useful adaptation to heat tolerance. Frontiers in Plant Science. 14. 1145858–1145858. 6 indexed citations

Ariza-Suárez, Daniel, Beat Keller, Héctor Fabio Buendía, et al.. (2022). Genetic analysis of resistance to bean leaf crumple virus identifies a candidate LRR‐RLK gene. The Plant Journal. 114(1). 23–38. 5 indexed citations

Keller, Beat, Daniel Ariza-Suárez, Héctor Fabio Buendía, et al.. (2022). Improving Association Studies and Genomic Predictions for Climbing Beans With Data From Bush Bean Populations. Frontiers in Plant Science. 13. 830896–830896. 8 indexed citations

Díaz, Lucy M, Daniel Ariza-Suárez, Héctor Fabio Buendía, et al.. (2021). Genetic Analyses and Genomic Predictions of Root Rot Resistance in Common Bean Across Trials and Populations. Frontiers in Plant Science. 12. 629221–629221. 11 indexed citations

Ariza-Suárez, Daniel, et al.. (2021). Genetic Architecture and Genomic Prediction of Cooking Time in Common Bean (Phaseolus vulgaris L.). Frontiers in Plant Science. 11. 622213–622213. 39 indexed citations

Mukankusi, Clare, Li Li, Bodo Raatz, et al.. (2021). Multivariate genomic analysis and optimal contributions selection predicts high genetic gains in cooking time, iron, zinc, and grain yield in common beans in East Africa. The Plant Genome. 14(3). e20156–e20156. 16 indexed citations

10.

Keller, Beat, Daniel Ariza-Suárez, Juan De La Hoz, et al.. (2020). Genomic Prediction of Agronomic Traits in Common Bean (Phaseolus vulgaris L.) Under Environmental Stress. Frontiers in Plant Science. 11. 1001–1001. 56 indexed citations

11.

Ariza-Suárez, Daniel, Paulo Izquierdo, Juan David Lobaton, et al.. (2020). Genetic mapping for agronomic traits in a MAGIC population of common bean (Phaseolus vulgaris L.) under drought conditions. BMC Genomics. 21(1). 799–799. 46 indexed citations

12.

Ariza-Suárez, Daniel, et al.. (2019). Web Application for Spatial Modelling of Field Trials. CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). 2 indexed citations

13.

Lobaton, Juan David, Tamara Miller, Daniel Ariza-Suárez, et al.. (2018). Resequencing of Common Bean Identifies Regions of Inter–Gene Pool Introgression and Provides Comprehensive Resources for Molecular Breeding. The Plant Genome. 11(2). 56 indexed citations

14.

Ariza-Suárez, Daniel, et al.. (2016). Efecto de la fertilización en el crecimiento y desarrollo del cultivo de la avena (Avena sativa). SHILAP Revista de lepidopterología. 39(2). 102–110. 2 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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