Tomás Aparicio

1.3k total citations
18 papers, 780 citations indexed

About

Tomás Aparicio is a scholar working on Molecular Biology, Genetics and Ecology. According to data from OpenAlex, Tomás Aparicio has authored 18 papers receiving a total of 780 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 12 papers in Genetics and 7 papers in Ecology. Recurrent topics in Tomás Aparicio's work include Bacterial Genetics and Biotechnology (12 papers), CRISPR and Genetic Engineering (9 papers) and Bacteriophages and microbial interactions (7 papers). Tomás Aparicio is often cited by papers focused on Bacterial Genetics and Biotechnology (12 papers), CRISPR and Genetic Engineering (9 papers) and Bacteriophages and microbial interactions (7 papers). Tomás Aparicio collaborates with scholars based in Spain, Hungary and France. Tomás Aparicio's co-authors include Vı́ctor de Lorenzo, Esteban Martínez‐García, Pablo I. Nikel, Ángel Goñi‐Moreno, Sofı́a Fraile, Ákos Nyerges, Sheila Ingemann Jensen, Alex Toftgaard Nielsen, Csaba Pál and José L. Garcı́a and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Microbiology.

In The Last Decade

Tomás Aparicio

18 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Tomás Aparicio Spain 12 639 333 139 132 86 18 780
Karsten Temme United States 5 563 0.9× 140 0.4× 93 0.7× 82 0.6× 43 0.5× 6 715
Nicholas S. McCarty United States 6 685 1.1× 118 0.4× 79 0.6× 139 1.1× 63 0.7× 10 871
Josefina Guzmán Mexico 16 336 0.5× 139 0.4× 86 0.6× 43 0.3× 101 1.2× 26 553
Lauren B.A. Woodruff United States 8 612 1.0× 167 0.5× 42 0.3× 137 1.0× 38 0.4× 8 680
Zhenquan Lin China 9 561 0.9× 137 0.4× 23 0.2× 126 1.0× 35 0.4× 13 619
Kåre Haugan Norway 6 218 0.3× 133 0.4× 86 0.6× 24 0.2× 39 0.5× 10 344
José Utrilla Mexico 15 738 1.2× 285 0.9× 67 0.5× 259 2.0× 35 0.4× 29 868
Jing Fu China 18 903 1.4× 139 0.4× 67 0.5× 322 2.4× 101 1.2× 39 1.2k
Tjeerd van Rij Netherlands 10 351 0.5× 114 0.3× 60 0.4× 38 0.3× 40 0.5× 12 525
T. Goosen Netherlands 19 670 1.0× 113 0.3× 69 0.5× 176 1.3× 169 2.0× 29 1.0k

Countries citing papers authored by Tomás Aparicio

Since Specialization
Citations

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

Fields of papers citing papers by Tomás Aparicio

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomás Aparicio

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

All Works

18 of 18 papers shown
1.
Aparicio, Tomás, et al.. (2022). Propagation of Recombinant Genes through Complex Microbiomes with Synthetic Mini-RP4 Plasmid Vectors. SHILAP Revista de lepidopterología. 2022. 9850305–9850305. 10 indexed citations
2.
Lorenzo, Vı́ctor de, et al.. (2021). Refactoring the Conjugation Machinery of Promiscuous Plasmid RP4 into a Device for Conversion of Gram-Negative Isolates to Hfr Strains. ACS Synthetic Biology. 10(4). 690–697. 8 indexed citations
3.
Dvořák, Pavel, et al.. (2020). An automated DIY framework for experimental evolution of Pseudomonas putida. Microbial Biotechnology. 14(6). 2679–2685. 10 indexed citations
4.
Aparicio, Tomás, Ákos Nyerges, Esteban Martínez‐García, & Vı́ctor de Lorenzo. (2020). High-Efficiency Multi-site Genomic Editing of Pseudomonas putida through Thermoinducible ssDNA Recombineering. iScience. 23(3). 100946–100946. 31 indexed citations
5.
Aparicio, Tomás, et al.. (2020). Multifunctional SEVA shuttle vectors for actinomycetes and Gram‐negative bacteria. MicrobiologyOpen. 9(6). 1135–1149. 14 indexed citations
6.
Aparicio, Tomás, Vı́ctor de Lorenzo, & Esteban Martínez‐García. (2019). A Broad Host Range Plasmid-Based Roadmap for ssDNA-Based Recombineering in Gram-Negative Bacteria. Methods in molecular biology. 2075. 383–398. 7 indexed citations
7.
Aparicio, Tomás, Vı́ctor de Lorenzo, & Esteban Martínez‐García. (2019). CRISPR /Cas9‐enhanced ss DNA recombineering for Pseudomonas putida. Microbial Biotechnology. 12(5). 1076–1089. 32 indexed citations
8.
Aparicio, Tomás, Ákos Nyerges, István Nagy, et al.. (2019). Mismatch repair hierarchy of Pseudomonas putida revealed by mutagenic ssDNA recombineering of the pyrF gene. Environmental Microbiology. 22(1). 45–58. 16 indexed citations
9.
Aparicio, Tomás, Vı́ctor de Lorenzo, & Esteban Martínez‐García. (2018). Improved Thermotolerance of Genome‐Reduced Pseudomonas putida EM42 Enables Effective Functioning of the PL/cI857 System. Biotechnology Journal. 14(1). e1800483–e1800483. 24 indexed citations
10.
Aparicio, Tomás, Vı́ctor de Lorenzo, & Esteban Martínez‐García. (2017). CRISPR/Cas9‐Based Counterselection Boosts Recombineering Efficiency in Pseudomonas putida. Biotechnology Journal. 13(5). e1700161–e1700161. 98 indexed citations
11.
Martínez‐García, Esteban, et al.. (2017). A standardized workflow for surveying recombinases expands bacterial genome‐editing capabilities. Microbial Biotechnology. 11(1). 176–188. 31 indexed citations
12.
Martínez‐García, Esteban, Tomás Aparicio, Vı́ctor de Lorenzo, & Pablo I. Nikel. (2016). Engineering Gram-Negative Microbial Cell Factories Using Transposon Vectors. Methods in molecular biology. 1498. 273–293. 23 indexed citations
13.
Aparicio, Tomás, Sheila Ingemann Jensen, Alex Toftgaard Nielsen, Vı́ctor de Lorenzo, & Esteban Martínez‐García. (2016). The Ssr protein (T1E_1405) from Pseudomonas putida DOT‐T1E enables oligonucleotide‐based recombineering in platform strain P. putida EM42. Biotechnology Journal. 11(10). 1309–1319. 53 indexed citations
14.
Martínez‐García, Esteban, Pablo I. Nikel, Tomás Aparicio, & Vı́ctor de Lorenzo. (2014). Pseudomonas 2.0: genetic upgrading of P. putida KT2440 as an enhanced host for heterologous gene expression. Microbial Cell Factories. 13(1). 159–159. 198 indexed citations
15.
Martínez‐García, Esteban, Tomás Aparicio, Ángel Goñi‐Moreno, Sofı́a Fraile, & Vı́ctor de Lorenzo. (2014). SEVA 2.0: an update of the Standard European Vector Architecture for de-/re-construction of bacterial functionalities. Nucleic Acids Research. 43(D1). D1183–D1189. 157 indexed citations
16.
Martínez‐García, Esteban, Pablo I. Nikel, Tomás Aparicio, & Vı́ctor de Lorenzo. (2014). Pseudomonas 2.0: genetic upgrading of P. putida KT2440 as an enhanced host for heterologous gene expression. Microbial Cell Factories. 13(1). 159–159. 1 indexed citations
17.
Velasco, Ana, Paloma Acebo, Carmen Schleissner, et al.. (2005). Molecular characterization of the safracin biosynthetic pathway from Pseudomonas fluorescens A2‐2: designing new cytotoxic compounds. Molecular Microbiology. 56(1). 144–154. 63 indexed citations
18.
Aparicio, Tomás, et al.. (2000). pT3.2I, the Smallest Plasmid of Thiobacillus T3.2. Plasmid. 44(1). 1–11. 4 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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