Vı́ctor Quesada

3.1k total citations
36 papers, 2.3k citations indexed

About

Vı́ctor Quesada is a scholar working on Molecular Biology, Plant Science and Biochemistry. According to data from OpenAlex, Vı́ctor Quesada has authored 36 papers receiving a total of 2.3k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 28 papers in Plant Science and 2 papers in Biochemistry. Recurrent topics in Vı́ctor Quesada's work include Plant Molecular Biology Research (21 papers), Photosynthetic Processes and Mechanisms (19 papers) and Plant Reproductive Biology (10 papers). Vı́ctor Quesada is often cited by papers focused on Plant Molecular Biology Research (21 papers), Photosynthetic Processes and Mechanisms (19 papers) and Plant Reproductive Biology (10 papers). Vı́ctor Quesada collaborates with scholars based in Spain, United Kingdom and Germany. Vı́ctor Quesada's co-authors include José Luis Micol, Marı́a Rosa Ponce, Caroline Dean, Pedro Robles, Gordon G. Simpson, Ian R. Henderson, Andrea Hricová, Szymon Świeżewski, Fuquan Liu and Pedro Crevillén and has published in prestigious journals such as Cell, The EMBO Journal and Molecular Cell.

In The Last Decade

Vı́ctor Quesada

36 papers receiving 2.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Vı́ctor Quesada Spain 23 1.8k 1.7k 98 80 61 36 2.3k
Ming Luo China 25 2.5k 1.4× 2.1k 1.2× 83 0.8× 86 1.1× 25 0.4× 28 2.9k
Nayelli Marsch‐Martínez Mexico 26 2.0k 1.1× 1.6k 0.9× 85 0.9× 37 0.5× 104 1.7× 58 2.3k
Masa‐aki Ohto Japan 13 2.3k 1.3× 1.8k 1.1× 93 0.9× 161 2.0× 76 1.2× 13 2.6k
Véronique Brunaud France 21 1.2k 0.7× 873 0.5× 89 0.9× 53 0.7× 49 0.8× 38 1.5k
Bosl Noh South Korea 24 2.6k 1.5× 2.2k 1.3× 97 1.0× 72 0.9× 62 1.0× 29 2.9k
Cordelia Bolle Germany 22 1.8k 1.0× 1.6k 0.9× 56 0.6× 42 0.5× 33 0.5× 31 2.1k
Robert Ascenzi United States 7 1.3k 0.7× 1.0k 0.6× 84 0.9× 50 0.6× 40 0.7× 8 1.6k
Zhengjing Zhang China 12 1.8k 1.0× 1.5k 0.9× 83 0.8× 36 0.5× 23 0.4× 15 2.2k
Marsha L. Pilgrim United States 6 2.2k 1.3× 2.0k 1.2× 88 0.9× 41 0.5× 43 0.7× 7 2.7k
Chuxiong Zhuang China 24 1.7k 1.0× 1.3k 0.7× 385 3.9× 45 0.6× 79 1.3× 64 2.1k

Countries citing papers authored by Vı́ctor Quesada

Since Specialization
Citations

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

Fields of papers citing papers by Vı́ctor Quesada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Vı́ctor Quesada

This figure shows the co-authorship network connecting the top 25 collaborators of Vı́ctor Quesada. A scholar is included among the top collaborators of Vı́ctor Quesada 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 Vı́ctor Quesada. Vı́ctor Quesada 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.
2.
Kawade, Kensuke, Akira Oikawa, Hirokazu Tsukaya, et al.. (2024). Functional conservation and divergence of arabidopsis VENOSA4 and human SAMHD1 in DNA repair. Heliyon. 11(1). e41019–e41019. 1 indexed citations
3.
González‐Bayón, Rebeca, Matthew A. Hannah, Francisco Javier Álvarez‐Martínez, et al.. (2023). Analysis of the Arabidopsis venosa4‐0 mutant supports the role of VENOSA4 in dNTP metabolism. Plant Science. 335. 111819–111819. 1 indexed citations
4.
Robles, Pedro & Vı́ctor Quesada. (2022). Unveiling the functions of plastid ribosomal proteins in plant development and abiotic stress tolerance. Plant Physiology and Biochemistry. 189. 35–45. 20 indexed citations
5.
Robles, Pedro, et al.. (2017). Arabidopsis mTERF6 is required for leaf patterning. Plant Science. 266. 117–129. 14 indexed citations
6.
Mateo‐Bonmatí, Eduardo, Rubén Casanova‐Sáez, Vı́ctor Quesada, et al.. (2015). Plastid control of abaxial-adaxial patterning. Scientific Reports. 5(1). 15975–15975. 16 indexed citations
7.
Quesada, Vı́ctor, et al.. (2013). PORPHOBILINOGEN DEAMINASE Deficiency Alters Vegetative and Reproductive Development and Causes Lesions in Arabidopsis. PLoS ONE. 8(1). e53378–e53378. 35 indexed citations
8.
Robles, Pedro, José Luis Micol, & Vı́ctor Quesada. (2012). Unveiling Plant mTERF Functions. Molecular Plant. 5(2). 294–296. 20 indexed citations
9.
Quesada, Vı́ctor, Rebeca González‐Bayón, Andrea Hricová, et al.. (2011). Arabidopsis RUGOSA2 encodes an mTERF family member required for mitochondrion, chloroplast and leaf development. The Plant Journal. 68(4). 738–753. 65 indexed citations
10.
Pérez‐Pérez, José Manuel, Héctor Candela, Pedro Robles, et al.. (2009). Lessons from a search for leaf mutants in Arabidopsis thaliana. The International Journal of Developmental Biology. 53(8-9-10). 1623–1634. 19 indexed citations
11.
Barrero, José M., Pedro L. Rodrı́guez, Vı́ctor Quesada, et al.. (2007). The ABA1 gene and carotenoid biosynthesis are required for late skotomorphogenic growth in Arabidopsis thaliana. Plant Cell & Environment. 31(2). 227–234. 36 indexed citations
12.
Liu, Fuquan, Vı́ctor Quesada, Pedro Crevillén, et al.. (2007). The Arabidopsis RNA-Binding Protein FCA Requires a Lysine-Specific Demethylase 1 Homolog to Downregulate FLC. Molecular Cell. 28(3). 398–407. 266 indexed citations
13.
González‐Bayón, Rebeca, Vı́ctor Quesada, Antonio Vera, et al.. (2006). Mutations in the RETICULATA gene dramatically alter internal architecture but have little effect on overall organ shape in Arabidopsis leaves. Journal of Experimental Botany. 57(12). 3019–3031. 44 indexed citations
14.
Quesada, Vı́ctor, Caroline Dean, & Gordon G. Simpson. (2005). Regulated RNA processing in the control of Arabidopsis flowering. The International Journal of Developmental Biology. 49(5-6). 773–780. 73 indexed citations
15.
Simpson, Gordon G., et al.. (2003). FY Is an RNA 3′ End-Processing Factor that Interacts with FCA to Control the Arabidopsis Floral Transition. Cell. 113(6). 777–787. 335 indexed citations
16.
Quesada, Vı́ctor. (2003). Autoregulation of FCA pre-mRNA processing controls Arabidopsis flowering time. The EMBO Journal. 22(12). 3142–3152. 217 indexed citations
17.
Quesada, Vı́ctor, et al.. (2002). Genetic Architecture of NaCl Tolerance in Arabidopsis. PLANT PHYSIOLOGY. 130(2). 951–963. 118 indexed citations
18.
Robles, Pedro, José Manuel Pérez‐Pérez, Héctor Candela, et al.. (2001). Genetic architecture of leaf morphogenesis in Arabidopsis thaliana. The International Journal of Developmental Biology. 45(S1). S61–S62. 6 indexed citations
19.
Quesada, Vı́ctor, Marı́a Rosa Ponce, & José Luis Micol. (1999). OTC and AUL1, two convergent and overlapping genes in the nuclear genome of Arabidopsis thaliana. FEBS Letters. 461(1-2). 101–106. 49 indexed citations
20.
Ponce, Marı́a Rosa, Vı́ctor Quesada, & José Luis Micol. (1998). Rapid discrimination of sequences flanking and within T‐DNA insertions in the Arabidopsis genome. The Plant Journal. 14(4). 497–501. 73 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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