Alejandro Arce‐Rodríguez

1.3k total citations · 1 hit paper
24 papers, 876 citations indexed

About

Alejandro Arce‐Rodríguez is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Alejandro Arce‐Rodríguez has authored 24 papers receiving a total of 876 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Genetics and 6 papers in Ecology. Recurrent topics in Alejandro Arce‐Rodríguez's work include Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (8 papers) and Vibrio bacteria research studies (5 papers). Alejandro Arce‐Rodríguez is often cited by papers focused on Bacterial Genetics and Biotechnology (8 papers), Bacterial biofilms and quorum sensing (8 papers) and Vibrio bacteria research studies (5 papers). Alejandro Arce‐Rodríguez collaborates with scholars based in Germany, Spain and Denmark. Alejandro Arce‐Rodríguez's co-authors include Pablo I. Nikel, Vı́ctor de Lorenzo, Belén Calles, Max Chavarría, Raúl Platero, Gonzalo Durante‐Rodríguez, Rafael Silva‐Rocha, Aitor de las Heras, Esteban Martínez‐García and Juhyun Kim and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Nature Protocols.

In The Last Decade

Alejandro Arce‐Rodríguez

23 papers receiving 867 citations

Hit Papers

align trajectories

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.

The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes

2012 487 citations Rafael Silva‐Rocha, Esteban Martínez‐García et al. Nucleic Acids Research profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Alejandro Arce‐Rodríguez Germany	13	643	260	221	119	78	24	876
Jean Huang United States	12	727 1.1×	218 0.8×	157 0.7×	70 0.6×	34 0.4×	21	1.0k
Barbara Kraigher Slovenia	14	317 0.5×	236 0.9×	286 1.3×	66 0.6×	42 0.5×	21	865
Martin Krehenbrink United Kingdom	15	533 0.8×	174 0.7×	228 1.0×	78 0.7×	42 0.5×	17	856
Muriel C. F. van Teeseling Germany	17	723 1.1×	154 0.6×	437 2.0×	76 0.6×	151 1.9×	24	1.2k
Sandra Splinter BonDurant United States	11	622 1.0×	240 0.9×	220 1.0×	147 1.2×	27 0.3×	14	1.2k
Н. Г. Лойко Russia	15	311 0.5×	129 0.5×	164 0.7×	66 0.6×	42 0.5×	90	709
Cécile Jourlin‐Castelli France	20	742 1.2×	462 1.8×	258 1.2×	64 0.5×	28 0.4×	34	1.1k
Angélique Chanal France	13	481 0.7×	201 0.8×	273 1.2×	207 1.7×	27 0.3×	14	766
Yasuhiro Kasahara Japan	20	563 0.9×	336 1.3×	386 1.7×	58 0.5×	98 1.3×	47	1.1k
Kristina L. Hillesland United States	13	561 0.9×	222 0.9×	313 1.4×	175 1.5×	91 1.2×	18	968

Countries citing papers authored by Alejandro Arce‐Rodríguez

Since Specialization

Citations

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

Fields of papers citing papers by Alejandro Arce‐Rodríguez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alejandro Arce‐Rodríguez. 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 Alejandro Arce‐Rodríguez. The network helps show where Alejandro Arce‐Rodríguez may publish in the future.

Co-authorship network of co-authors of Alejandro Arce‐Rodríguez

This figure shows the co-authorship network connecting the top 25 collaborators of Alejandro Arce‐Rodríguez. A scholar is included among the top collaborators of Alejandro Arce‐Rodríguez 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 Alejandro Arce‐Rodríguez. Alejandro Arce‐Rodríguez is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Gomez, Nicolas, Matthias Preuße, Alejandro Arce‐Rodríguez, et al.. (2025). tRNA hydroxylation is an epitranscriptomic modulator of metabolic states affecting Pseudomonas aeruginosa pathogenicity. Nucleic Acids Research. 53(14). 1 indexed citations

Arce‐Rodríguez, Alejandro, et al.. (2024). Comprehensive analysis of secretome and transcriptome stability of Wharton jelly mesenchymal stromal cells during good manufacturing practice-compliant production. Cytotherapy. 27(1). 107–120. 2 indexed citations

Jiménez‐Guerrero, Irene, et al.. (2024). Isolation, Quantification, and Visualization of Extracellular Membrane Vesicles in Rhizobia Under Free-Living Conditions. Methods in molecular biology. 2751. 219–228. 2 indexed citations

Hamed, Mostafa M., Ahmed S. Abdelsamie, Katharina Rox, et al.. (2023). Towards Translation of PqsR Inverse Agonists: From In Vitro Efficacy Optimization to In Vivo Proof‐of‐Principle. Advanced Science. 10(5). e2204443–e2204443. 18 indexed citations

Gomez, Nicolas, et al.. (2023). An expanded CRISPR–Cas9-assisted recombineering toolkit for engineering genetically intractable Pseudomonas aeruginosa isolates. Nature Protocols. 18(11). 3253–3288. 10 indexed citations

Arce‐Rodríguez, Alejandro, Mathias Müsken, Dieter Jahn, et al.. (2023). Isolation and Quantification of Bacterial Membrane Vesicles for Quantitative Metabolic Studies Using Mammalian Cell Cultures. Cells. 12(23). 2674–2674. 2 indexed citations

Arce‐Rodríguez, Alejandro, et al.. (2022). Dual Effect: High NADH Levels Contribute to Efflux-Mediated Antibiotic Resistance but Drive Lethality Mediated by Reactive Oxygen Species. mBio. 13(1). e0243421–e0243421. 20 indexed citations

Arce‐Rodríguez, Alejandro, et al.. (2022). Evolution of biofilm-adapted gene expression profiles in lasR-deficient clinical Pseudomonas aeruginosa isolates. npj Biofilms and Microbiomes. 8(1). 6–6. 26 indexed citations

Pascual, Javier, et al.. (2022). A Microbial Consortium for the Bioremediation of Sulfate-Rich Wastewater Originating from an Edible Oil Industry. Microbiology and Biotechnology Letters. 50(1). 110–121. 1 indexed citations

10.

Arce‐Rodríguez, Alejandro, Ilaria Benedetti, José Manuel Borrero‐de Acuña, Rafael Silva‐Rocha, & Vı́ctor de Lorenzo. (2021). Standardization of inducer-activated broad host range expression modules: debugging and refactoring an alkane-responsive AlkS/ PalkB device. idUS (Universidad de Sevilla). 6(1). 3 indexed citations

11.

Arce‐Rodríguez, Alejandro, Vinay Pawar, Peter Braubach, et al.. (2020). Targeting bioenergetics is key to counteracting the drug-tolerant state of biofilm-grown bacteria. PLoS Pathogens. 16(12). e1009126–e1009126. 18 indexed citations

12.

Arce‐Rodríguez, Alejandro, Fernando Puente‐Sánchez, Roberto Avendaño, et al.. (2020). Microbial Community Structure Along a Horizontal Oxygen Gradient in a Costa Rican Volcanic Influenced Acid Rock Drainage System. Microbial Ecology. 80(4). 793–808. 5 indexed citations

13.

Grahl, Nora, Matthias Preuße, Alejandro Arce‐Rodríguez, et al.. (2019). Establishment of an induced memory response in Pseudomonas aeruginosa during infection of a eukaryotic host. The ISME Journal. 13(8). 2018–2030. 26 indexed citations

14.

Arce‐Rodríguez, Alejandro, et al.. (2019). Non‐invasive, ratiometric determination of intracellular pH in Pseudomonas species using a novel genetically encoded indicator. Microbial Biotechnology. 12(4). 799–813. 24 indexed citations

15.

Arce‐Rodríguez, Alejandro, Fernando Puente‐Sánchez, Roberto Avendaño, et al.. (2019). Thermoplasmatales and sulfur-oxidizing bacteria dominate the microbial community at the surface water of a CO2-rich hydrothermal spring located in Tenorio Volcano National Park, Costa Rica. Extremophiles. 23(2). 177–187. 31 indexed citations

16.

Puente‐Sánchez, Fernando, Alejandro Arce‐Rodríguez, Monike Oggerin, et al.. (2018). Viable cyanobacteria in the deep continental subsurface. Proceedings of the National Academy of Sciences. 115(42). 10702–10707. 104 indexed citations

17.

Arce‐Rodríguez, Alejandro, Fernando Puente‐Sánchez, Roberto Avendaño, et al.. (2016). Pristine but metal-rich Río Sucio (Dirty River) is dominated by Gallionella and other iron-sulfur oxidizing microbes. Extremophiles. 21(2). 235–243. 12 indexed citations

18.

Silva‐Rocha, Rafael, Esteban Martínez‐García, Belén Calles, et al.. (2012). The Standard European Vector Architecture (SEVA): a coherent platform for the analysis and deployment of complex prokaryotic phenotypes. Nucleic Acids Research. 41(D1). D666–D675. 487 indexed citations breakdown →

19.

Arce‐Rodríguez, Alejandro, Gonzalo Durante‐Rodríguez, Raúl Platero, et al.. (2011). The Crp regulator of Pseudomonas putida : evidence of an unusually high affinity for its physiological effector, cAMP. Environmental Microbiology. 14(3). 702–713. 13 indexed citations

20.

Arce‐Rodríguez, Alejandro, et al.. (2010). Regulatory exaptation of the catabolite repression protein (Crp)–cAMP system in Pseudomonas putida. Environmental Microbiology. 13(2). 324–339. 33 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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