Mario Ramı́rez

1.7k total citations
29 papers, 1.2k citations indexed

About

Mario Ramı́rez is a scholar working on Plant Science, Agronomy and Crop Science and Molecular Biology. According to data from OpenAlex, Mario Ramı́rez has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Plant Science, 7 papers in Agronomy and Crop Science and 2 papers in Molecular Biology. Recurrent topics in Mario Ramı́rez's work include Legume Nitrogen Fixing Symbiosis (23 papers), Plant nutrient uptake and metabolism (16 papers) and Agronomic Practices and Intercropping Systems (7 papers). Mario Ramı́rez is often cited by papers focused on Legume Nitrogen Fixing Symbiosis (23 papers), Plant nutrient uptake and metabolism (16 papers) and Agronomic Practices and Intercropping Systems (7 papers). Mario Ramı́rez collaborates with scholars based in Mexico, United States and Italy. Mario Ramı́rez's co-authors include Georgina Hernández, Oswaldo Valdés‐López, Carroll P. Vance, Miguel Lara, Lourdes Girard, Michelle A. Graham, José Luis Reyes, Alexander Erban, Joachim Kopka and Michael K. Udvardi and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and PLANT PHYSIOLOGY.

In The Last Decade

Mario Ramı́rez

26 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Ramı́rez Mexico 13 1.1k 223 163 35 33 29 1.2k
Islam A. Abd El-Daim Sweden 8 924 0.8× 215 1.0× 69 0.4× 69 2.0× 42 1.3× 9 1.0k
A.I. Melentiev Russia 8 668 0.6× 193 0.9× 50 0.3× 58 1.7× 20 0.6× 20 785
Sripada M. Udupa Morocco 15 539 0.5× 155 0.7× 121 0.7× 24 0.7× 32 1.0× 48 626
P. U. Krishnaraj India 15 487 0.4× 116 0.5× 58 0.4× 97 2.8× 25 0.8× 66 607
Robert W. Duncan Canada 16 497 0.5× 278 1.2× 94 0.6× 30 0.9× 14 0.4× 49 653
T. D. Potter Australia 14 495 0.4× 240 1.1× 134 0.8× 123 3.5× 51 1.5× 46 618
Aqbal Singh India 11 409 0.4× 115 0.5× 45 0.3× 32 0.9× 29 0.9× 18 515
Aleksandra Sudarić Croatia 12 454 0.4× 69 0.3× 79 0.5× 31 0.9× 28 0.8× 86 535
PTW Wong Australia 10 655 0.6× 233 1.0× 184 1.1× 111 3.2× 84 2.5× 16 751
Stanislav Yu. Veselov Russia 12 698 0.6× 190 0.9× 81 0.5× 58 1.7× 15 0.5× 16 761

Countries citing papers authored by Mario Ramı́rez

Since Specialization
Citations

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

Fields of papers citing papers by Mario Ramı́rez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Ramı́rez

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Ramı́rez. A scholar is included among the top collaborators of Mario Ramı́rez 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 Mario Ramı́rez. Mario Ramı́rez 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
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Fuentes, Sara, Alfonso Leija, Mario Ramı́rez, et al.. (2023). Identification and Characterization of Common Bean (Phaseolus vulgaris) Non-Nodulating Mutants Altered in Rhizobial Infection. Plants. 12(6). 1310–1310. 1 indexed citations
5.
Ramı́rez, Mario, et al.. (2021). Effect of a mix of oligogalacturonides on symbiotic nitrogen fixation in common bean. SHILAP Revista de lepidopterología. 39(1). 30–36. 1 indexed citations
6.
Isidra‐Arellano, Mariel C., Luis Lozano, Mario Ramı́rez, et al.. (2021). Control of the Rhizobia Nitrogen-Fixing Symbiosis by Common Bean MADS-Domain/AGL Transcription Factors. Frontiers in Plant Science. 12. 679463–679463. 12 indexed citations
7.
Correa‐Galeote, David, Mishael Sánchez-Pérez, Mario Ramı́rez, et al.. (2020). A Novel OmpR-Type Response Regulator Controls Multiple Stages of the Rhizobium etli – Phaseolus vulgaris N2-Fixing Symbiosis. Frontiers in Microbiology. 11. 615775–615775. 6 indexed citations
8.
Ariani, Andrea, Alfonso Leija, Sara Fuentes, et al.. (2020). Phaseolus vulgaris MIR1511 genotypic variations differentially regulate plant tolerance to aluminum toxicity. The Plant Journal. 105(6). 1521–1533. 11 indexed citations
10.
Iñiguez, L., Mario Ramı́rez, W. Brad Barbazuk, & Georgina Hernández. (2017). Identification and analysis of alternative splicing events in Phaseolus vulgaris and Glycine max. BMC Genomics. 18(1). 650–650. 31 indexed citations
11.
Ramı́rez, Mario, et al.. (2017). Reflexión teórica sobre el arte del cuidado. Enfermería Universitaria. 14(3). 191–198. 11 indexed citations
12.
Iñiguez, L., Oswaldo Valdés‐López, Alfonso Leija, et al.. (2015). The Micro-RNA172c-APETALA2-1 Node as a Key Regulator of the Common Bean-Rhizobium etli Nitrogen Fixation Symbiosis. PLANT PHYSIOLOGY. 168(1). 273–291. 95 indexed citations
13.
Aparicio‐Fabre, Rosaura, Gabriel Guillén, Jesús Arellano, et al.. (2013). Common bean (Phaseolus vulgarisL.) PvTIFY orchestrates global changes in transcript profile response to jasmonate and phosphorus deficiency. BMC Plant Biology. 13(1). 26–26. 37 indexed citations
14.
Valdés‐López, Oswaldo, Catalina Arenas‐Huertero, Mario Ramı́rez, et al.. (2008). Essential role of MYB transcription factor: PvPHR1 and microRNA: PvmiR399 in phosphorus‐deficiency signalling in common bean roots. Plant Cell & Environment. 31(12). 1834–1843. 147 indexed citations
15.
Suárez‐Rodríguez, Ramón, Arnoldo Wong‐Villarreal, Mario Ramı́rez, et al.. (2008). Improvement of Drought Tolerance and Grain Yield in Common Bean by Overexpressing Trehalose-6-Phosphate Synthase in Rhizobia. Molecular Plant-Microbe Interactions. 21(7). 958–966. 165 indexed citations
16.
Graham, Michelle A., Mario Ramı́rez, Oswaldo Valdés‐López, et al.. (2006). Identification of candidate phosphorus stress induced genes in Phaseolus vulgaris through clustering analysis across several plant species. Functional Plant Biology. 33(8). 789–797. 31 indexed citations
17.
Silvente, Sonia, et al.. (2002). Rhizobium etli Mutant Modulates Carbon and Nitrogen Metabolism in Phaseolus vulgaris Nodules. Molecular Plant-Microbe Interactions. 15(7). 728–733. 10 indexed citations
18.
Arredondo‐Peter, Raúl, Mario Ramı́rez, Gautam Sarath, & Robert V. Klucas. (2000). Plant gene register PGR 00-040. Sequence analysis of an ancient hemoglobin cDNA isolated from the moss Physcomitrella patens (accession no. AF218049).. PLANT PHYSIOLOGY. 122(4). 17 indexed citations
19.
Ramı́rez, Mario, Brenda Valderrama, Raúl Arredondo‐Peter, et al.. (1999). Rhizobium etli Genetically Engineered for the Heterologous Expression of Vitreoscilla sp. Hemoglobin: Effects on Free-Living and Symbiosis. Molecular Plant-Microbe Interactions. 12(11). 1008–1015. 42 indexed citations
20.
Hernández, Georgina, Mario Ramı́rez, Ramón Suárez‐Rodríguez, & Sara Fuentes. (1995). Root exuded nod-gene inducing signals limit the nodulation capacity of different alfalfa varieties with Rhizobium meliloti. Plant Cell Reports. 14(10). 626–629. 5 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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