Mateo Vargas

5.0k total citations · 1 hit paper
97 papers, 3.4k citations indexed

About

Mateo Vargas is a scholar working on Plant Science, Genetics and Agronomy and Crop Science. According to data from OpenAlex, Mateo Vargas has authored 97 papers receiving a total of 3.4k indexed citations (citations by other indexed papers that have themselves been cited), including 85 papers in Plant Science, 25 papers in Genetics and 19 papers in Agronomy and Crop Science. Recurrent topics in Mateo Vargas's work include Genetics and Plant Breeding (43 papers), Wheat and Barley Genetics and Pathology (29 papers) and Genetic Mapping and Diversity in Plants and Animals (24 papers). Mateo Vargas is often cited by papers focused on Genetics and Plant Breeding (43 papers), Wheat and Barley Genetics and Pathology (29 papers) and Genetic Mapping and Diversity in Plants and Animals (24 papers). Mateo Vargas collaborates with scholars based in Mexico, United States and India. Mateo Vargas's co-authors include José Crossa, Matthew Reynolds, Fred A. van Eeuwijk, Jean‐Marcel Ribaut, Juan Burgueño, Ravi P. Singh, Marianne Bänziger, Richard Trethowan, Yvan Fracheboud and Gregorio Alvarado and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Genetics.

In The Last Decade

Mateo Vargas

89 papers receiving 3.2k citations

Hit Papers

META-R: A software to analyze data from multi-environment... 2020 2026 2022 2024 2020 50 100 150 200
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. META-R: A software to analyze data from multi-environment plant breeding trials
    2020 240 citations José Crossa, Mateo Vargas et al. profile →

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mateo Vargas Mexico 32 3.2k 1.5k 913 194 187 97 3.4k
Alessandro Tondelli Italy 25 2.7k 0.8× 816 0.5× 523 0.6× 483 2.5× 121 0.6× 50 2.9k
Karim Ammar Mexico 30 2.3k 0.7× 794 0.5× 638 0.7× 209 1.1× 88 0.5× 95 2.5k
Alexey Morgounov Türkiye 27 2.7k 0.9× 517 0.3× 908 1.0× 330 1.7× 231 1.2× 140 3.0k
Allan K. Fritz United States 34 3.1k 1.0× 794 0.5× 917 1.0× 340 1.8× 126 0.7× 105 3.4k
Haydn Kuchel Australia 29 3.1k 1.0× 1.4k 0.9× 815 0.9× 237 1.2× 81 0.4× 49 3.4k
Santosh Deshpande India 19 1.5k 0.5× 829 0.6× 590 0.6× 264 1.4× 216 1.2× 58 1.9k
R. M. DePauw Canada 30 2.6k 0.8× 507 0.3× 734 0.8× 233 1.2× 115 0.6× 151 2.8k
David Bonnett Mexico 23 2.2k 0.7× 1.0k 0.7× 772 0.8× 144 0.7× 125 0.7× 33 2.4k
Marcos Malosetti Netherlands 31 3.0k 0.9× 1.7k 1.2× 449 0.5× 251 1.3× 43 0.2× 56 3.3k
Clay Sneller United States 33 2.6k 0.8× 841 0.6× 445 0.5× 214 1.1× 79 0.4× 99 2.8k

Countries citing papers authored by Mateo Vargas

Since Specialization
Citations

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

Fields of papers citing papers by Mateo Vargas

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mateo Vargas

This figure shows the co-authorship network connecting the top 25 collaborators of Mateo Vargas. A scholar is included among the top collaborators of Mateo Vargas 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 Mateo Vargas. Mateo Vargas 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.
Avila, Luis Antônio de, et al.. (2025). Johnsongrass resistance to nicosulfuron. 43. 1 indexed citations
2.
Vargas, Mateo, et al.. (2023). First report of Ceratobasidium sp. causing root rot of Crotalaria juncea in Mexico. New Disease Reports. 47(1). 2 indexed citations
3.
Vargas, Mateo, et al.. (2023). Multi‐location trials identify stable high‐yielding spring bread and durum wheat cultivars in Mexico. Crop Science. 63(4). 2103–2114. 2 indexed citations
4.
Vargas, Mateo, et al.. (2022). Curvularia brachyspora causing leaf spot on Cucurbita argyrosperma in Mexico. Journal of General Plant Pathology. 88(5). 331–335. 1 indexed citations
5.
Muñoz, Carlos, Alexander Loladze, Mateo Vargas, et al.. (2022). Occurrence and Distribution of Physiological Races of Exserohilum turcicum in Maize-Growing Regions of Mexico. Plant Disease. 107(4). 1054–1059. 2 indexed citations
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7.
Crespo‐Herrera, Leonardo, José Crossa, Julio Huerta‐Espino, et al.. (2021). Target Population of Environments for Wheat Breeding in India: Definition, Prediction and Genetic Gains. Frontiers in Plant Science. 12. 638520–638520. 36 indexed citations
8.
Vargas, Mateo, et al.. (2020). First Report of Colletotrichum jiangxiense Causing Avocado Anthracnose in Mexico. Plant Disease. 105(2). 502–502. 11 indexed citations
9.
Vargas, Mateo, et al.. (2020). First Report of Fusarium falciforme (FSSC 3+4) Causing Wilt Disease of Phaseolus vulgaris in Mexico. Plant Disease. 105(3). 710–710. 11 indexed citations
10.
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Sahagún‐Castellanos, Jaime, et al.. (2018). Diagnosis and Integrated Management of Fruit Rot in Cucurbita argyrosperma, Caused by Sclerotium rolfsii. The Plant Pathology Journal. 34(3). 171–181. 10 indexed citations
13.
Vargas, Mateo, et al.. (2018). Molecular delineation of the Agave Red Worm Comadia redtenbacheri  (Lepidoptera: Cossidae). Zootaxa. 4375(3). 358–370. 6 indexed citations
14.
Leyva‐Mir, Santos Gerardo, et al.. (2015). Identification and control of fungi causing fruits rot in pipiana pumpkin (Cucurbita argyrosperma Huber). African Journal of Agricultural Research. 10(11). 1150–1157. 2 indexed citations
15.
Cairns, Jill E., Ciro Sánchez, Mateo Vargas, Raziel A. Ordóñez, & J. L. Araus. (2012). Dissecting Maize Productivity: Ideotypes Associated with Grain Yield under Drought Stress and Well‐watered Conditions. Journal of Integrative Plant Biology. 54(12). 1007–1020. 84 indexed citations
16.
Delgado-Alvarado, Adriana, et al.. (2010). EMERGENCIA Y CRECIMIENTO DE PLANTAS ORNAMENTALES EN SUSTRATOS CONTAMINADOS CON RESIDUOS DE MINA. Interciencia. 35(1). 26–32. 4 indexed citations
17.
Messmer, Rainer, Yvan Fracheboud, Marianne Bänziger, et al.. (2009). Drought stress and tropical maize: QTL-by-environment interactions and stability of QTLs across environments for yield components and secondary traits. Theoretical and Applied Genetics. 119(5). 913–930. 238 indexed citations
18.
Vargas, Mateo, Fred A. van Eeuwijk, José Crossa, & Jean‐Marcel Ribaut. (2006). Mapping QTLs and QTL × environment interaction for CIMMYT maize drought stress program using factorial regression and partial least squares methods. Theoretical and Applied Genetics. 112(6). 1009–1023. 86 indexed citations
19.
Etchevers, Jorge D., et al.. (2004). Variabilidad del carbono orgánico en suelos de ladera del sureste de México. Terra Latinoamericana. 22(3). 359–367. 12 indexed citations
20.
Crossa, José, Mateo Vargas, Fred A. van Eeuwijk, et al.. (1999). Interpreting genotype × environment interaction in tropical maize using linked molecular markers and environmental covariables. Theoretical and Applied Genetics. 99(3-4). 611–625. 90 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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