José I. Jiménez

3.4k total citations
47 papers, 2.2k citations indexed

About

José I. Jiménez is a scholar working on Molecular Biology, Genetics and Pollution. According to data from OpenAlex, José I. Jiménez has authored 47 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Molecular Biology, 19 papers in Genetics and 4 papers in Pollution. Recurrent topics in José I. Jiménez's work include Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (9 papers) and Gene Regulatory Network Analysis (9 papers). José I. Jiménez is often cited by papers focused on Bacterial Genetics and Biotechnology (13 papers), RNA and protein synthesis mechanisms (9 papers) and Gene Regulatory Network Analysis (9 papers). José I. Jiménez collaborates with scholars based in United Kingdom, Spain and United States. José I. Jiménez's co-authors include Eduardo Dı́az, José L. Garcı́a, Baltasar Miñambres, Domitilla Del Vecchio, Juhyun Kim, Juan Nogales, Hsin-Ho Huang, Yili Qian, Alexander P. S. Darlington and Manuel Salvador and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

José I. Jiménez

42 papers receiving 2.2k citations

Peers

José I. Jiménez

GENET

POLLU

ECOLO

Max Chavarría Costa Rica

Beatriz Galán Spain

Guang Zhao China

Miroslav Pátek Czechia

Yasuhiro Oda Japan

Constantin Drainas Greece

Tae Seok Moon United States

Susan F. Koval Canada

Patricia Godoy Spain

Martina Jahn Germany

Max Chavarría Costa Rica

José I. Jiménez

1.4k ×1.0

614 ×1.1

GENET

229 ×0.6

POLLU

413 ×1.2

366 ×1.2

ECOLO

Citations per year, relative to José I. Jiménez José I. Jiménez (= 1×) peers Max Chavarría

Countries citing papers authored by José I. Jiménez

Since Specialization

Citations

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

Fields of papers citing papers by José I. Jiménez

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by José I. Jiménez. 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 José I. Jiménez. The network helps show where José I. Jiménez may publish in the future.

Co-authorship network of co-authors of José I. Jiménez

This figure shows the co-authorship network connecting the top 25 collaborators of José I. Jiménez. A scholar is included among the top collaborators of José I. Jiménez 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 José I. Jiménez. José I. Jiménez 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

Jiménez, José I., et al.. (2025). Pseudomonas putida JM37 as a novel bacterial chassis for ethylene glycol upcycling. Bioresource Technology. 443. 133884–133884.

Jiménez, José I., et al.. (2025). Investigating the Potential of Division of Labor in Synthetic Bacterial Communities for the Production of Violacein. ACS Synthetic Biology. 14(7). 2703–2709. 3 indexed citations

Prakash, Satya, et al.. (2025). Establishing Halomonas as a chassis for industrial biotechnology: advances in synthetic biology tool development and metabolic engineering strategies. Microbial Cell Factories. 24(1). 133–133.

Merali, Nabeel, James Halle‐Smith, Bing Wang, et al.. (2024). The microbial composition of pancreatic ductal adenocarcinoma: a systematic review of 16S rRNA gene sequencing. International Journal of Surgery. 110(10). 6771–6799. 6 indexed citations

Dvořák, Pavel, et al.. (2023). Water potential governs the effector specificity of the transcriptional regulator XylR of Pseudomonas putida . Environmental Microbiology. 25(5). 1041–1054. 1 indexed citations

Merali, Nabeel, Daniel Liu, Tony Dhillon, et al.. (2023). Bile Microbiome Signatures Associated with Pancreatic Ductal Adenocarcinoma Compared to Benign Disease: A UK Pilot Study. International Journal of Molecular Sciences. 24(23). 16888–16888. 5 indexed citations

Salvador, Manuel, Özhan Özkaya, Matt Spick, et al.. (2020). Loss of a pyoverdine secondary receptor in Pseudomonas aeruginosa results in a fitter strain suitable for population invasion. The ISME Journal. 15(5). 1330–1343. 14 indexed citations

Kim, Juhyun, et al.. (2020). A quantitative method for proteome reallocation using minimal regulatory interventions. Nature Chemical Biology. 16(9). 1026–1033. 26 indexed citations

Kim, Juhyun, Alexander P. S. Darlington, Manuel Salvador, José Utrilla, & José I. Jiménez. (2019). Trade-offs between gene expression, growth and phenotypic diversity in microbial populations. Current Opinion in Biotechnology. 62. 29–37. 55 indexed citations

10.

Darlington, Alexander P. S., Juhyun Kim, José I. Jiménez, & Declan G. Bates. (2018). Engineering Translational Resource Allocation Controllers: Mechanistic Models, Design Guidelines, and Potential Biological Implementations. ACS Synthetic Biology. 7(11). 2485–2496. 21 indexed citations

11.

Avendaño, Roberto, et al.. (2016). Production of selenium nanoparticles in Pseudomonas putida KT2440. Scientific Reports. 6(1). 37155–37155. 104 indexed citations

12.

Xulvi-Brunet, Ramón, et al.. (2016). Computational analysis of fitness landscapes and evolutionary networks from in vitro evolution experiments. Methods. 106. 86–96. 7 indexed citations

13.

Jiménez, José I., Sofı́a Fraile, Olga Zafra, & Vı́ctor de Lorenzo. (2015). Phenotypic knockouts of selected metabolic pathways by targeting enzymes with camel-derived nanobodies (VHHs). Metabolic Engineering. 30. 40–48. 8 indexed citations

14.

György, András, et al.. (2015). Isocost Lines Describe the Cellular Economy of Genetic Circuits. Biophysical Journal. 109(3). 639–646. 164 indexed citations

15.

Jiménez, José I., et al.. (2013). Comprehensive experimental fitness landscape and evolutionary network for small RNA. Proceedings of the National Academy of Sciences. 110(37). 14984–14989. 109 indexed citations

16.

Dı́az, Eduardo, José I. Jiménez, & Juan Nogales. (2012). Aerobic degradation of aromatic compounds. Current Opinion in Biotechnology. 24(3). 431–442. 133 indexed citations

17.

Jiménez, José I., Javier F. Juárez, José L. Garcı́a, & Eduardo Dı́az. (2011). A finely tuned regulatory circuit of the nicotinic acid degradation pathway in Pseudomonas putida. Environmental Microbiology. 13(7). 1718–1732. 20 indexed citations

18.

Zafra, Olga, Sofı́a Fraile, Carlos Gutiérrez, et al.. (2011). Monitoring biodegradative enzymes with nanobodies raised in Camelus dromedarius with mixtures of catabolic proteins. Environmental Microbiology. 13(4). 960–974. 22 indexed citations

19.

Jiménez, José I., Baltasar Miñambres, José L. Garcı́a, & Eduardo Dı́az. (2002). Genomic analysis of the aromatic catabolic pathways from Pseudomonas putida KT2440. Environmental Microbiology. 4(12). 824–841. 416 indexed citations

20.

Jiménez, José I.. (2000). El marketing con causa, entre la “oportunidad estratégica” y la responsabilidad social. SHILAP Revista de lepidopterología. 105–112.

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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