Beatriz Rioseras

510 total citations
16 papers, 379 citations indexed

About

Beatriz Rioseras is a scholar working on Pharmacology, Molecular Biology and Plant Science. According to data from OpenAlex, Beatriz Rioseras has authored 16 papers receiving a total of 379 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Pharmacology, 11 papers in Molecular Biology and 5 papers in Plant Science. Recurrent topics in Beatriz Rioseras's work include Microbial Natural Products and Biosynthesis (13 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Beatriz Rioseras is often cited by papers focused on Microbial Natural Products and Biosynthesis (13 papers), Genomics and Phylogenetic Studies (7 papers) and Bacterial Genetics and Biotechnology (4 papers). Beatriz Rioseras collaborates with scholars based in Spain, Denmark and Italy. Beatriz Rioseras's co-authors include Ángel Manteca, María Teresa López-García, Paula Yagüe, Jesús Sánchez, Antonio Rodríguez‐García, Juan F. Martı́n, Juan Antonio Sánchez, Elisa Binda, Adelina Rogowska-Wrzesińska and Ole N. Jensen and has published in prestigious journals such as Nature Communications, PLoS ONE and Bioresource Technology.

In The Last Decade

Beatriz Rioseras

15 papers receiving 373 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Beatriz Rioseras Spain 13 253 229 68 66 65 16 379
Beatrica Ševčı́ková Slovakia 15 387 1.5× 372 1.6× 106 1.6× 79 1.2× 122 1.9× 36 522
Miroslav Petřı́ček Czechia 11 256 1.0× 176 0.8× 44 0.6× 76 1.2× 42 0.6× 25 367
Hirokazu Kage Germany 10 188 0.7× 123 0.5× 99 1.5× 39 0.6× 46 0.7× 14 360
Lutz Petzke Germany 13 303 1.2× 295 1.3× 72 1.1× 95 1.4× 38 0.6× 16 416
Hilda E. Ramos‐Aboites Mexico 8 295 1.2× 253 1.1× 105 1.5× 83 1.3× 29 0.4× 13 452
Florian Schauwecker Germany 10 353 1.4× 254 1.1× 89 1.3× 82 1.2× 43 0.7× 13 466
Cláudia Ross Germany 9 152 0.6× 151 0.7× 144 2.1× 28 0.4× 26 0.4× 15 430
Alexander K. Apel Germany 9 230 0.9× 241 1.1× 99 1.5× 54 0.8× 42 0.6× 15 367
Kateřina Petřı́čková Czechia 11 237 0.9× 206 0.9× 43 0.6× 61 0.9× 30 0.5× 18 354
Yan‐Ni Shi Germany 8 243 1.0× 228 1.0× 49 0.7× 62 0.9× 23 0.4× 14 373

Countries citing papers authored by Beatriz Rioseras

Since Specialization
Citations

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

Fields of papers citing papers by Beatriz Rioseras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Beatriz Rioseras

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

All Works

16 of 16 papers shown
2.
Corte‐Rodríguez, Mario, Beatriz Rioseras, María Teresa López-García, et al.. (2019). Cytosolic copper is a major modulator of germination, development and secondary metabolism in Streptomyces coelicolor. Scientific Reports. 9(1). 4214–4214. 19 indexed citations
3.
Rioseras, Beatriz, Pavel V. Shliaha, Vladimir Gorshkov, et al.. (2018). Quantitative Proteome and Phosphoproteome Analyses of Streptomyces coelicolor Reveal Proteins and Phosphoproteins Modulating Differentiation and Secondary Metabolism. Molecular & Cellular Proteomics. 17(8). 1591–1611. 22 indexed citations
4.
Navarro, Ana, Beatriz Rioseras, Eva del Valle, et al.. (2018). Expression Pattern of Myelin-Related Apolipoprotein D in Human Multiple Sclerosis Lesions. Frontiers in Aging Neuroscience. 10. 254–254. 14 indexed citations
5.
Manteca, Ángel, Beatriz Rioseras, Adelina Rogowska-Wrzesińska, & Ole N. Jensen. (2018). Phosphoproteomics in Microbiology: Protocols for Studying Streptomyces coelicolor Differentiation. Methods in molecular biology. 1841. 249–260.
6.
López-García, María Teresa, et al.. (2018). The SCO4117 ECF Sigma Factor Pleiotropically Controls Secondary Metabolism and Morphogenesis in Streptomyces coelicolor. Frontiers in Microbiology. 9. 312–312. 14 indexed citations
7.
Yagüe, Paula, Joost Willemse, Roman I. Koning, et al.. (2016). Subcompartmentalization by cross-membranes during early growth of Streptomyces hyphae. Nature Communications. 7(1). 12467–12467. 26 indexed citations
8.
Rioseras, Beatriz, Paula Yagüe, María Teresa López-García, et al.. (2016). Characterization of SCO4439, a D-alanyl-D-alanine carboxypeptidase involved in spore cell wall maturation, resistance and germination in Streptomyces coelicolor. Scientific Reports. 6(1). 21659–21659. 27 indexed citations
9.
López-García, María Teresa, et al.. (2016). New ΦBT1 site-specific integrative vectors with neutral phenotype in Streptomyces. Applied Microbiology and Biotechnology. 100(6). 2797–2808. 22 indexed citations
10.
Oliveira, Paulo, Beatriz Rioseras, Sílvia Pires, et al.. (2015). Streptomyces natalensis programmed cell death and morphological differentiation are dependent on oxidative stress. Scientific Reports. 5(1). 12887–12887. 24 indexed citations
11.
López-García, María Teresa, Beatriz Rioseras, Paula Yagüe, José R. Álvarez, & Ángel Manteca. (2014). Cell immobilization of Streptomyces coelicolor : effect on differentiation and actinorhodin production.. PubMed. 17(2). 75–80. 9 indexed citations
12.
Yagüe, Paula, Antonio Rodríguez‐García, María Teresa López-García, et al.. (2014). Transcriptomic Analysis of Liquid Non-Sporulating Streptomyces coelicolor Cultures Demonstrates the Existence of a Complex Differentiation Comparable to That Occurring in Solid Sporulating Cultures. PLoS ONE. 9(1). e86296–e86296. 32 indexed citations
13.
Rioseras, Beatriz, María Teresa López-García, Paula Yagüe, Jesús Sánchez, & Ángel Manteca. (2013). Mycelium differentiation and development of Streptomyces coelicolor in lab-scale bioreactors: Programmed cell death, differentiation, and lysis are closely linked to undecylprodigiosin and actinorhodin production. Bioresource Technology. 151. 191–198. 47 indexed citations
14.
Yagüe, Paula, Antonio Rodríguez‐García, María Teresa López-García, et al.. (2013). Transcriptomic Analysis of Streptomyces coelicolor Differentiation in Solid Sporulating Cultures: First Compartmentalized and Second Multinucleated Mycelia Have Different and Distinctive Transcriptomes. PLoS ONE. 8(3). e60665–e60665. 40 indexed citations
15.
Yagüe, Paula, María Teresa López-García, Beatriz Rioseras, Jesús Sánchez, & Ángel Manteca. (2013). Pre-sporulation stages ofStreptomycesdifferentiation: state-of-the-art and future perspectives. FEMS Microbiology Letters. 342(2). 79–88. 57 indexed citations
16.
Yagüe, Paula, María Teresa López-García, Beatriz Rioseras, Juan Antonio Sánchez, & Ángel Manteca. (2012). New insights on the development of Streptomyces and their relationships with secondary metabolite production.. PubMed. 8. 65–73. 24 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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