Jorge M. Vázquez‐Ramos

1.0k total citations
59 papers, 836 citations indexed

About

Jorge M. Vázquez‐Ramos is a scholar working on Plant Science, Molecular Biology and Ecology. According to data from OpenAlex, Jorge M. Vázquez‐Ramos has authored 59 papers receiving a total of 836 indexed citations (citations by other indexed papers that have themselves been cited), including 47 papers in Plant Science, 43 papers in Molecular Biology and 3 papers in Ecology. Recurrent topics in Jorge M. Vázquez‐Ramos's work include Plant Genetic and Mutation Studies (31 papers), Plant tissue culture and regeneration (31 papers) and Plant Molecular Biology Research (19 papers). Jorge M. Vázquez‐Ramos is often cited by papers focused on Plant Genetic and Mutation Studies (31 papers), Plant tissue culture and regeneration (31 papers) and Plant Molecular Biology Research (19 papers). Jorge M. Vázquez‐Ramos collaborates with scholars based in Mexico, Argentina and United Kingdom. Jorge M. Vázquez‐Ramos's co-authors include María de la Paz Sánchez, Patricia Coello, Pandiyan Thangarasu, Aurora Lara‐Núñez, Francisco Roberto Quiroz‐Figueroa, Narinder Singh, Ruth Gutiérrez, Carlos Alberto Huerta‐Aguilar, Javier Plasencia and Daphne J. Osborne and has published in prestigious journals such as PLANT PHYSIOLOGY, Food Chemistry and FEBS Letters.

In The Last Decade

Jorge M. Vázquez‐Ramos

58 papers receiving 758 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jorge M. Vázquez‐Ramos Mexico 19 630 480 69 51 40 59 836
Asuka Watanabe Japan 10 806 1.3× 370 0.8× 28 0.4× 33 0.6× 64 1.6× 15 1.0k
Songlin Ruan China 17 529 0.8× 403 0.8× 29 0.4× 25 0.5× 36 0.9× 37 818
Jitae Kim United States 15 402 0.6× 705 1.5× 68 1.0× 60 1.2× 42 1.1× 24 883
Sorina C. Popescu United States 15 1.0k 1.7× 784 1.6× 38 0.6× 73 1.4× 77 1.9× 36 1.4k
Dayong Li China 14 308 0.5× 398 0.8× 36 0.5× 8 0.2× 36 0.9× 53 614
Xueping Chen China 19 902 1.4× 785 1.6× 36 0.5× 8 0.2× 22 0.6× 72 1.3k
Silke Jacques Australia 10 450 0.7× 281 0.6× 22 0.3× 21 0.4× 36 0.9× 23 618
P. Greenwell United Kingdom 15 394 0.6× 228 0.5× 48 0.7× 22 0.4× 41 1.0× 22 943
Shuting Ding China 12 345 0.5× 263 0.5× 69 1.0× 142 2.8× 22 0.6× 22 710

Countries citing papers authored by Jorge M. Vázquez‐Ramos

Since Specialization
Citations

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

Fields of papers citing papers by Jorge M. Vázquez‐Ramos

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jorge M. Vázquez‐Ramos. 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 Jorge M. Vázquez‐Ramos. The network helps show where Jorge M. Vázquez‐Ramos may publish in the future.

Co-authorship network of co-authors of Jorge M. Vázquez‐Ramos

This figure shows the co-authorship network connecting the top 25 collaborators of Jorge M. Vázquez‐Ramos. A scholar is included among the top collaborators of Jorge M. Vázquez‐Ramos 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 Jorge M. Vázquez‐Ramos. Jorge M. Vázquez‐Ramos 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.
Vázquez‐Ramos, Jorge M., et al.. (2023). The glycolytic enzymes glyceraldehyde‐3‐phosphate dehydrogenase and hexokinase interact with cell cycle proteins in maize. FEBS Letters. 597(16). 2072–2085. 3 indexed citations
2.
Vázquez‐Ramos, Jorge M., et al.. (2022). Maize CDKA2 ;1a and CDKB1 ;1 kinases have different requirements for their activation and participate in substrate recognition. FEBS Journal. 290(9). 2463–2488. 1 indexed citations
3.
Lara‐Núñez, Aurora, et al.. (2021). Two cyclin Bs are differentially modulated by glucose and sucrose during maize germination. Biochimie. 182. 108–119. 7 indexed citations
4.
Benavides, María Patricia, et al.. (2020). Tyr-nitration in maize CDKA;1 results in lower affinity for ATP binding. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics. 1868(10). 140479–140479. 9 indexed citations
5.
Pena, Liliana B., et al.. (2020). Metabolic rearrangements in imbibed maize (Zea mays L) embryos in the presence of oxidative stressors. Plant Physiology and Biochemistry. 155. 560–569. 7 indexed citations
6.
Pena, Liliana B., et al.. (2019). Oxidation of proline from the cyclin-binding motif in maize CDKA;1 results in lower affinity with its cyclin regulatory subunit. Phytochemistry. 169. 112165–112165. 3 indexed citations
7.
Vázquez‐Ramos, Jorge M.. (2016). Reparación del ADN: un asunto de vida…y de Premios Nobel. Educación Química. 27(2). 93–96. 2 indexed citations
8.
Sánchez, María de la Paz, et al.. (2013). Complexes of D-type cyclins with CDKs during maize germination. Journal of Experimental Botany. 64(18). 5661–5671. 26 indexed citations
9.
Martínez‐Castilla, León P., et al.. (2011). The family of maize D‐type cyclins: genomic organization, phylogeny and expression patterns. Physiologia Plantarum. 143(3). 297–308. 28 indexed citations
10.
Lara‐Núñez, Aurora, et al.. (2007). Maize D4;1 and D5 cyclin proteins in germinating maize. Associated kinase activity and regulation by phytohormones. Physiologia Plantarum. 132(1). 79–88. 21 indexed citations
11.
Gutiérrez, Ruth, Francisco Roberto Quiroz‐Figueroa, & Jorge M. Vázquez‐Ramos. (2005). Maize Cyclin D2 Expression, Associated Kinase Activity and Effect of Phytohormones During Germination. Plant and Cell Physiology. 46(1). 166–173. 34 indexed citations
12.
Vázquez‐Ramos, Jorge M., et al.. (2003). Maize DNA polymerase alpha is phosphorylated by a PCNA-associated cyclin/Cdk complex: effect of benzyladenine. Journal of Plant Physiology. 160(9). 983–990. 13 indexed citations
13.
Castroviejo, Michel, et al.. (2002). Maize replicative α‐type DNA polymerase: separation of polymerase and primase activities and recognition of primase subunits. Physiologia Plantarum. 114(4). 533–539. 5 indexed citations
14.
Sánchez, María de la Paz, et al.. (2002). PCNA protein associates to Cdk-A type protein kinases in germinating maize. Plant Molecular Biology. 50(2). 167–175. 24 indexed citations
16.
Coello, Patricia & Jorge M. Vázquez‐Ramos. (1996). Maize DNA polymerase 2 (an α-type enzyme) suffers major damage after seed deterioration. Seed Science Research. 6(1). 1–7. 20 indexed citations
17.
Coello, Patricia & Jorge M. Vázquez‐Ramos. (1995). Maize DNA Polymerase 2 is a Phosphoprotein with Increasing Activity During Germination. European Journal of Biochemistry. 231(1). 99–103. 1 indexed citations
18.
Vázquez‐Ramos, Jorge M., et al.. (1995). Biochemical and cytological studies on osmoprimed maize seeds. Seed Science Research. 5(1). 15–23. 25 indexed citations
19.
Coello, Patricia & Jorge M. Vázquez‐Ramos. (1995). Studies on the Processivity of Maize DNA Polymerase 2, an [alpha]-Type Enzyme. PLANT PHYSIOLOGY. 109(2). 645–650. 13 indexed citations
20.
Coello, Patricia & Jorge M. Vázquez‐Ramos. (1995). Maize DNA Polymerase 2 is a Phosphoprotein with Increasing Activity During Germination. European Journal of Biochemistry. 231(1). 99–103. 19 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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