David Vázquez

3.7k total citations
92 papers, 2.9k citations indexed

About

David Vázquez is a scholar working on Molecular Biology, Immunology and Oncology. According to data from OpenAlex, David Vázquez has authored 92 papers receiving a total of 2.9k indexed citations (citations by other indexed papers that have themselves been cited), including 70 papers in Molecular Biology, 16 papers in Immunology and 15 papers in Oncology. Recurrent topics in David Vázquez's work include RNA and protein synthesis mechanisms (51 papers), RNA modifications and cancer (18 papers) and Toxin Mechanisms and Immunotoxins (15 papers). David Vázquez is often cited by papers focused on RNA and protein synthesis mechanisms (51 papers), RNA modifications and cancer (18 papers) and Toxin Mechanisms and Immunotoxins (15 papers). David Vázquez collaborates with scholars based in Spain, United States and Mexico. David Vázquez's co-authors include Luis Carrasco, Juan Modolell, Antonio Jiménez, Manuel Fresno, Juan P. G. Ballesta, Robin E. Monro, C. Fernández-Puentes, A. Contreras, Sjur Olsnes and Bartolomé Cabrer and has published in prestigious journals such as Nature, Proceedings of the National Academy of Sciences and Journal of Biological Chemistry.

In The Last Decade

David Vázquez

90 papers receiving 2.5k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Vázquez Spain 30 2.2k 531 349 334 280 92 2.9k
Robert F. Weaver United States 24 2.2k 1.0× 329 0.6× 598 1.7× 174 0.5× 244 0.9× 51 2.9k
James W. Bodley United States 34 2.4k 1.1× 874 1.6× 548 1.6× 258 0.8× 423 1.5× 83 3.2k
Yasuhiko Komatsu Japan 28 2.6k 1.2× 162 0.3× 194 0.6× 483 1.4× 283 1.0× 83 3.3k
S C Hubbard United States 19 2.5k 1.1× 529 1.0× 284 0.8× 167 0.5× 315 1.1× 23 3.2k
André Aumelas France 31 1.7k 0.8× 856 1.6× 139 0.4× 143 0.4× 140 0.5× 103 2.9k
Haydn L. Ball United States 30 4.3k 1.9× 327 0.6× 394 1.1× 593 1.8× 72 0.3× 57 5.7k
Hao‐Chia Chen United States 26 1.4k 0.6× 554 1.0× 251 0.7× 117 0.4× 282 1.0× 63 2.7k
Kivie Moldave United States 33 2.8k 1.3× 228 0.4× 286 0.8× 300 0.9× 99 0.4× 98 3.5k
Octavian Bârzu France 31 2.5k 1.1× 144 0.3× 709 2.0× 246 0.7× 128 0.5× 124 3.6k
Manuel Rico Spain 36 3.0k 1.3× 224 0.4× 219 0.6× 117 0.4× 185 0.7× 91 3.5k

Countries citing papers authored by David Vázquez

Since Specialization
Citations

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

Fields of papers citing papers by David Vázquez

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Vázquez

This figure shows the co-authorship network connecting the top 25 collaborators of David Vázquez. A scholar is included among the top collaborators of David Vázquez 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 David Vázquez. David Vázquez 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, David, et al.. (2025). The Pseudomonas putida type VI secretion systems shape the tomato rhizosphere microbiota. ISME Communications. 5(1). ycaf158–ycaf158. 2 indexed citations
2.
Rodríguez, J.A., Issam Laradji, Pau Rodríguez, et al.. (2025). StarVector: Generating Scalable Vector Graphics Code from Images and Text. PolyPublie (École Polytechnique de Montréal). 16175–16186. 1 indexed citations
3.
Du, Xuewei, Wenbin Jiang, Fangjun Shu, et al.. (2024). Numerical modeling of electromagnetic field spatiotemporal evolution to evaluate the effects on calcium carbonate crystallization. Desalination. 592. 118128–118128. 4 indexed citations
4.
Rubio‐Osornio, Moisés, et al.. (2024). Exposure to Ozone Downregulates Bcl-2 and Increases Executing Caspases-3 and -8 in the Hippocampus, Frontal Cortex, and Cerebellum of Rats. Cureus. 16(2). e54546–e54546. 2 indexed citations
5.
Chapados, Nicolas, João Monteiro, Pierre‐André Noël, et al.. (2024). RepLiQA: A Question-Answering Dataset for Benchmarking LLMs on Unseen Reference Content. 24242–24276.
6.
Bernal, Miguel, César Calvo, & David Vázquez. (2023). Real-Time Control of Underactuated Systems in a Mechatronics Kit Via a Novel LMI-Based Sliding Mode Approach. 6(1). 531–537. 1 indexed citations
7.
Rubio, Carmen, et al.. (2023). Rats in Epilepsy Research: A Bibliometric Analysis of Citations Between 1969 and 2020 on Experimental Models in Epilepsy. Cureus. 15(11). e48891–e48891. 2 indexed citations
8.
Rodríguez, Pau, et al.. (2022). Data Augmentation for Intent Classification with Off-the-shelf Large Language Models. 47–57. 32 indexed citations
9.
Ramsay, R. Eugene, Dennis Q. McManus, A. Guterman, et al.. (1990). Carbamazepine Metabolism in Humans. Therapeutic Drug Monitoring. 12(3). 235–241. 34 indexed citations
10.
Monaco, Francesco, R. Eugene Ramsay, & David Vázquez. (1982). Anticonvulsant Drugs Determined by EMIT® in Spiked Brain Samples: A Correlation with HPLC Values. Epilepsia. 23(1). 15–18. 19 indexed citations
11.
Fresno, Manuel & David Vázquez. (1980). Inhibitory Effects of ‘Cap’ Analogues on Globin mRNA and Encephalomyocarditis RNA Translation in a Reticulocyte Cell‐Free System. European Journal of Biochemistry. 103(1). 125–132. 6 indexed citations
12.
Lacal, Juan Carlos, et al.. (1980). Antibiotics that specifically block translation in virus-infected cells.. The Journal of Antibiotics. 33(4). 441–446. 32 indexed citations
13.
Vázquez, David, et al.. (1978). Effects on ribosomal activity and structure of modification with succinic, maleic and acetic anhydrides. FEBS Letters. 87(1). 125–128. 2 indexed citations
14.
Bernabéu, Carmelo, David Vázquez, & Juan P. G. Ballesta. (1978). Proteins associated with rRNA in the Escherichia coli ribosome. Biochimica et Biophysica Acta (BBA) - Nucleic Acids and Protein Synthesis. 518(2). 290–297. 13 indexed citations
15.
Jiménez, Antonio, Luis Carrasco, & David Vázquez. (1977). Enzymic and nonenzymic translocation by yeast polysomes. Site of action of a number of inhibitors. Biochemistry. 16(21). 4727–4730. 62 indexed citations
16.
Modolell, Juan & David Vázquez. (1976). Polysomal ribosomes complexed with elongation factor G can engage in the peptidyl transfer reaction. FEBS Letters. 68(2). 203–207. 3 indexed citations
17.
Vázquez, David, et al.. (1974). [3H]anisomycin binding to eukaryotic ribosomes. Journal of Molecular Biology. 84(4). 603–623. 68 indexed citations
18.
Ballesta, Juan P. G. & David Vázquez. (1973). Ribosomal activities dependent on elongation factors T and G. Effects of methanol. Biochemistry. 12(25). 5063–5068. 19 indexed citations
19.
Ballesta, Juan P. G., et al.. (1971). Reconstitution of the 50 S ribosome subunit. Localization of activities related to the peptidyl transferase centre. FEBS Letters. 19(1). 75–78. 13 indexed citations
20.
Ballesta, Juan P. G., et al.. (1971). Reconstitution of the 50 S ribosome subunit. Localization of G‐dependent GTPase activity. FEBS Letters. 19(1). 79–82. 15 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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