Fernando Rojo

9.7k total citations · 1 hit paper
144 papers, 7.3k citations indexed

About

Fernando Rojo is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Fernando Rojo has authored 144 papers receiving a total of 7.3k indexed citations (citations by other indexed papers that have themselves been cited), including 104 papers in Molecular Biology, 84 papers in Genetics and 57 papers in Ecology. Recurrent topics in Fernando Rojo's work include Bacterial Genetics and Biotechnology (83 papers), Bacteriophages and microbial interactions (46 papers) and RNA and protein synthesis mechanisms (32 papers). Fernando Rojo is often cited by papers focused on Bacterial Genetics and Biotechnology (83 papers), Bacteriophages and microbial interactions (46 papers) and RNA and protein synthesis mechanisms (32 papers). Fernando Rojo collaborates with scholars based in Spain, Germany and United Kingdom. Fernando Rojo's co-authors include Luís Yuste, Renata Moreno, José Luis Martínez, Juan C. Alonso, M. Luisa Ferrer, Margarita Salas, Vı́ctor de Lorenzo, Francisco del Monte, José Pérez‐Martín and Marı́a C. Gutiérrez and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Nucleic Acids Research.

In The Last Decade

Fernando Rojo

143 papers receiving 7.2k citations

Hit Papers

Degradation of alkanes by... 2009 2026 2014 2020 2009 100 200 300 400 500

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fernando Rojo 4.5k 2.5k 1.8k 1.7k 958 144 7.3k
A. M. Chakrabarty 6.5k 1.4× 2.8k 1.1× 1.4k 0.8× 2.7k 1.6× 713 0.7× 180 10.3k
Eliora Z. Ron 4.6k 1.0× 1.5k 0.6× 1.4k 0.8× 2.2k 1.3× 649 0.7× 200 9.3k
François Lépine 5.6k 1.2× 1.8k 0.7× 1.2k 0.7× 3.0k 1.8× 1.9k 1.9× 132 9.7k
Caroline S. Harwood 8.1k 1.8× 2.8k 1.1× 2.6k 1.5× 2.4k 1.5× 864 0.9× 156 12.5k
Jacques Mahillon 5.3k 1.2× 1.5k 0.6× 2.4k 1.4× 649 0.4× 540 0.6× 216 8.7k
Éric Déziel 7.6k 1.7× 2.3k 0.9× 1.4k 0.8× 2.7k 1.6× 2.5k 2.7× 166 11.9k
Daniel J. Hassett 7.4k 1.6× 2.1k 0.8× 1.1k 0.6× 591 0.4× 1.9k 2.0× 153 11.7k
Urs A. Ochsner 5.6k 1.2× 2.6k 1.0× 1.0k 0.6× 759 0.5× 1.4k 1.5× 78 8.5k
Claus Sternberg 5.0k 1.1× 1.1k 0.4× 1.2k 0.7× 468 0.3× 731 0.8× 55 7.1k
Akio Kuroda 3.4k 0.7× 1.3k 0.5× 933 0.5× 427 0.3× 219 0.2× 224 6.2k

Countries citing papers authored by Fernando Rojo

Since Specialization
Citations

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

Fields of papers citing papers by Fernando Rojo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Fernando Rojo

This figure shows the co-authorship network connecting the top 25 collaborators of Fernando Rojo. A scholar is included among the top collaborators of Fernando Rojo 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 Fernando Rojo. Fernando Rojo 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
2.
Moreno, Renata & Fernando Rojo. (2024). What are the signals that control catabolite repression in Pseudomonas ?. Microbial Biotechnology. 17(1). e14407–e14407. 9 indexed citations
3.
Yuste, Luís, et al.. (2023). Extraordinary long-stem confers resistance of intrinsic terminators to processive antitermination. Nucleic Acids Research. 51(12). 6073–6086. 4 indexed citations
4.
Luque-Ortega, Juan R., Isidro Crespo, David Abia, et al.. (2018). Novel regulatory mechanism of establishment genes of conjugative plasmids. Nucleic Acids Research. 46(22). 11910–11926. 8 indexed citations
5.
Rojo, Fernando, et al.. (2016). Effect of Crc and Hfq proteins on the transcription, processing, and stability of the Pseudomonas putida CrcZ sRNA. RNA. 22(12). 1902–1917. 23 indexed citations
6.
Esteban‐Tejeda, Leticia, et al.. (2012). Glass-(nAg, nCu) Biocide Coatings on Ceramic Oxide Substrates. PLoS ONE. 7(3). e33135–e33135. 8 indexed citations
7.
Linares, Juan F., Renata Moreno, Alicia Fajardo Lubián, et al.. (2010). The global regulator Crc modulates metabolism, susceptibility to antibiotics and virulence in Pseudomonas aeruginosa. Environmental Microbiology. 12(12). 3196–3212. 122 indexed citations
8.
Rojo, Fernando. (2010). Carbon catabolite repression inPseudomonas: optimizing metabolic versatility and interactions with the environment. FEMS Microbiology Reviews. 34(5). 658–684. 391 indexed citations
9.
Gutiérrez, Marı́a C., M. Luisa Ferrer, Luís Yuste, Fernando Rojo, & Francisco del Monte. (2009). Bacteria Incorporation in Deep‐eutectic Solvents through Freeze‐Drying. Angewandte Chemie International Edition. 49(12). 2158–2162. 152 indexed citations
11.
Yuste, Luís, Ana Hervás, Inés Canosa, et al.. (2005). Growth phase‐dependent expression of the Pseudomonas putida KT2440 transcriptional machinery analysed with a genome‐wide DNA microarray. Environmental Microbiology. 8(1). 165–177. 107 indexed citations
12.
Calles, Belén, et al.. (2001). A mutation in the C-terminal domain of the RNA polymerase alpha subunit that destabilizes the open complexes formed at the phage φ29 late A3 promoter. Journal of Molecular Biology. 307(2). 487–497. 6 indexed citations
13.
Yuste, Luís, et al.. (2000). Characterization of bacterial strains able to grow on high molecular mass residues from crude oil processing. FEMS Microbiology Ecology. 32(1). 69–75. 99 indexed citations
14.
Diaz, Vicente M., Fernando Rojo, Carlos Martı́nez-A, Juan C. Alonso, & António Bernad. (1999). The Prokaryotic β-Recombinase Catalyzes Site-specific Recombination in Mammalian Cells. Journal of Biological Chemistry. 274(10). 6634–6640. 26 indexed citations
15.
Monsalve, Marı́a, Belén Calles, Mario Mencı́a, Margarita Salas, & Fernando Rojo. (1997). Transcription Activation or Repression by Phage Φ29 Protein p4 Depends on the Strength of the RNA Polymerase–Promoter Interactions. Molecular Cell. 1(1). 99–107. 55 indexed citations
16.
Alonso, Juan C., et al.. (1996). Site-specific recombination in Gram-positive theta-replicating plasmids. FEMS Microbiology Letters. 142(1). 1–10. 26 indexed citations
17.
Canosa, Inés, Fernando Rojo, & Juan C. Alonso. (1996). Site-specific Recombination by the   Protein from the Streptococcal Plasmid pSM19035: Minimal Recombination Sequences and Crossing over Site. Nucleic Acids Research. 24(14). 2712–2717. 24 indexed citations
18.
Monsalve, Marı́a, Mario Mencı́a, Fernando Rojo, & Margarita Salas. (1995). Transcription Regulation in Bacillus subtilis Phage Φ29: Expression of the Viral Promoters throughout the Infection Cycle. Virology. 207(1). 23–31. 42 indexed citations
19.
Rojo, Fernando & Juan C. Alonso. (1994). A Novel Site-specific Recombinase Encoded by the Streptococcus pyogenes Plasmid pSM19035. Journal of Molecular Biology. 238(2). 159–172. 52 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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