Eva G. Barreales

414 total citations
11 papers, 253 citations indexed

About

Eva G. Barreales is a scholar working on Pharmacology, Plant Science and Molecular Biology. According to data from OpenAlex, Eva G. Barreales has authored 11 papers receiving a total of 253 indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Pharmacology, 6 papers in Plant Science and 4 papers in Molecular Biology. Recurrent topics in Eva G. Barreales's work include Microbial Natural Products and Biosynthesis (11 papers), Plant-Microbe Interactions and Immunity (6 papers) and Fungal Biology and Applications (3 papers). Eva G. Barreales is often cited by papers focused on Microbial Natural Products and Biosynthesis (11 papers), Plant-Microbe Interactions and Immunity (6 papers) and Fungal Biology and Applications (3 papers). Eva G. Barreales collaborates with scholars based in Spain, United Kingdom and France. Eva G. Barreales's co-authors include Jesús F. Aparicio, Javier Santos‐Aberturas, Tamara D. Payero, Cláudia M. Vicente, Ángel Rumbero, José R. Tormo, Antonio Rodríguez‐García, Fernando Reyes, Andrew W. Truman and Paloma Liras and has published in prestigious journals such as PLoS ONE, Applied and Environmental Microbiology and Applied Microbiology and Biotechnology.

In The Last Decade

Eva G. Barreales

11 papers receiving 250 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Eva G. Barreales Spain 8 183 122 87 50 40 11 253
Tamara D. Payero Spain 10 311 1.7× 232 1.9× 133 1.5× 62 1.2× 69 1.7× 13 397
Cláudia M. Vicente France 13 346 1.9× 308 2.5× 147 1.7× 75 1.5× 73 1.8× 21 483
Asfarul S. Haque India 9 189 1.0× 251 2.1× 58 0.7× 37 0.7× 49 1.2× 10 341
KAZUO SHIMANAKA Japan 7 89 0.5× 144 1.2× 67 0.8× 91 1.8× 50 1.3× 10 354
Joohae Park Netherlands 10 82 0.4× 197 1.6× 117 1.3× 29 0.6× 78 1.9× 10 324
Dhana Thomy Germany 6 184 1.0× 130 1.1× 63 0.7× 33 0.7× 60 1.5× 6 306
Elena Geib United Kingdom 9 217 1.2× 140 1.1× 91 1.0× 21 0.4× 82 2.0× 10 339
Adam G. Newman United States 8 241 1.3× 182 1.5× 81 0.9× 46 0.9× 67 1.7× 11 381
Takeaki Tezuka Japan 12 166 0.9× 261 2.1× 78 0.9× 21 0.4× 74 1.9× 36 363
Ken Kasahara Japan 10 202 1.1× 250 2.0× 52 0.6× 38 0.8× 71 1.8× 13 373

Countries citing papers authored by Eva G. Barreales

Since Specialization
Citations

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

Fields of papers citing papers by Eva G. Barreales

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Eva G. Barreales. 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 Eva G. Barreales. The network helps show where Eva G. Barreales may publish in the future.

Co-authorship network of co-authors of Eva G. Barreales

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

All Works

11 of 11 papers shown
1.
Vicente, Cláudia M., Tamara D. Payero, Antonio Rodríguez‐García, et al.. (2022). Modulation of Multiple Gene Clusters’ Expression by the PAS-LuxR Transcriptional Regulator PteF. Antibiotics. 11(8). 994–994. 5 indexed citations
2.
Barreales, Eva G. & Jesús F. Aparicio. (2021). Production, Detection, Extraction, and Quantification of Polyene Antibiotics. Methods in molecular biology. 2296. 333–350. 2 indexed citations
4.
Barreales, Eva G., et al.. (2020). The Streptomyces filipinensis Gamma-Butyrolactone System Reveals Novel Clues for Understanding the Control of Secondary Metabolism. Applied and Environmental Microbiology. 86(18). 8 indexed citations
5.
Santos‐Aberturas, Javier, Antonio Rodríguez‐García, Eva G. Barreales, et al.. (2019). Activation of Secondary Metabolite Gene Clusters in Streptomyces clavuligerus by the PimM Regulator of Streptomyces natalensis. Frontiers in Microbiology. 10. 580–580. 25 indexed citations
6.
8.
Aparicio, Jesús F., et al.. (2015). Biotechnological production and application of the antibiotic pimaricin: biosynthesis and its regulation. Applied Microbiology and Biotechnology. 100(1). 61–78. 93 indexed citations
9.
Payero, Tamara D., Cláudia M. Vicente, Ángel Rumbero, et al.. (2015). Functional analysis of filipin tailoring genes from Streptomyces filipinensis reveals alternative routes in filipin III biosynthesis and yields bioactive derivatives. Microbial Cell Factories. 14(1). 114–114. 27 indexed citations
10.
Vicente, Cláudia M., et al.. (2015). Pathway-specific regulation revisited: cross-regulation of multiple disparate gene clusters by PAS-LuxR transcriptional regulators. Applied Microbiology and Biotechnology. 99(12). 5123–5135. 22 indexed citations
11.
Vicente, Cláudia M., et al.. (2014). PAS-LuxR transcriptional control of filipin biosynthesis in S. avermitilis. Applied Microbiology and Biotechnology. 98(22). 9311–9324. 36 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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