Manuel Becerra

1.7k total citations
69 papers, 1.3k citations indexed

About

Manuel Becerra is a scholar working on Molecular Biology, Biotechnology and Biomedical Engineering. According to data from OpenAlex, Manuel Becerra has authored 69 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 24 papers in Biotechnology and 18 papers in Biomedical Engineering. Recurrent topics in Manuel Becerra's work include Enzyme Production and Characterization (24 papers), Fungal and yeast genetics research (23 papers) and Biofuel production and bioconversion (18 papers). Manuel Becerra is often cited by papers focused on Enzyme Production and Characterization (24 papers), Fungal and yeast genetics research (23 papers) and Biofuel production and bioconversion (18 papers). Manuel Becerra collaborates with scholars based in Spain, United States and Germany. Manuel Becerra's co-authors include María-Isabel González-Siso, M. Esperanza Cerdán, Rafael Fernández-Leiro, J. Sanz‐Aparicio, Esther Rodríguez‐Belmonte, José Miguel Carot Sierra, Chelo González‐Martínez, M. Cháfer, Amparo Chiralt and J. Blanco‐Méndez and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and Scientific Reports.

In The Last Decade

Manuel Becerra

66 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Manuel Becerra Spain 21 934 377 362 219 152 69 1.3k
Chung‐Jen Chiang Taiwan 22 896 1.0× 237 0.6× 478 1.3× 132 0.6× 75 0.5× 71 1.3k
M. Esperanza Cerdán Spain 27 1.8k 2.0× 420 1.1× 599 1.7× 235 1.1× 131 0.9× 125 2.2k
Sang Ki Rhee South Korea 22 987 1.1× 204 0.5× 348 1.0× 98 0.4× 120 0.8× 64 1.4k
Chiaki Ogino Japan 27 1.5k 1.6× 287 0.8× 1.0k 2.9× 160 0.7× 110 0.7× 62 1.9k
Marianna Turkiewicz Poland 19 585 0.6× 414 1.1× 307 0.8× 66 0.3× 85 0.6× 47 1.1k
Dawei Zhang China 20 890 1.0× 187 0.5× 182 0.5× 94 0.4× 79 0.5× 93 1.3k
Zhiwei Zhu China 24 2.1k 2.3× 165 0.4× 808 2.2× 118 0.5× 158 1.0× 58 2.6k
Eun Jung Jeon South Korea 17 512 0.5× 105 0.3× 184 0.5× 165 0.8× 85 0.6× 36 961
Nancy A. Da Silva United States 27 1.7k 1.9× 328 0.9× 805 2.2× 107 0.5× 38 0.3× 59 2.3k
Hassan K. Sreenath United States 20 643 0.7× 200 0.5× 506 1.4× 186 0.8× 188 1.2× 37 1.1k

Countries citing papers authored by Manuel Becerra

Since Specialization
Citations

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

Fields of papers citing papers by Manuel Becerra

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Manuel Becerra

This figure shows the co-authorship network connecting the top 25 collaborators of Manuel Becerra. A scholar is included among the top collaborators of Manuel Becerra 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 Manuel Becerra. Manuel Becerra 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
1.
Becerra, Manuel, et al.. (2025). A review of the capacity of xylooligosaccharides to modulate gut microbiota and promote health. Food & Function. 16(12). 4654–4672. 2 indexed citations
2.
Becerra, Manuel, et al.. (2024). AMWEst, a new thermostable and detergent-tolerant esterase retrieved from the Albian aquifer. Applied Microbiology and Biotechnology. 108(1). 114–114. 1 indexed citations
3.
4.
Becerra, Manuel, et al.. (2021). Comparative Metagenomic Analysis of Two Hot Springs From Ourense (Northwestern Spain) and Others Worldwide. Frontiers in Microbiology. 12. 769065–769065. 5 indexed citations
5.
Cerdán, M. Esperanza, et al.. (2019). Bioconversion of Beet Molasses to Alpha-Galactosidase and Ethanol. Frontiers in Microbiology. 10. 405–405. 20 indexed citations
6.
Becerra, Manuel, et al.. (2019). Microbial diversity analysis and screening for novel xylanase enzymes from the sediment of the Lobios Hot Spring in Spain. Scientific Reports. 9(1). 11195–11195. 33 indexed citations
7.
Cerdán, M. Esperanza, et al.. (2018). Valuation of agro-industrial wastes as substrates for heterologous production of α-galactosidase. Microbial Cell Factories. 17(1). 137–137. 14 indexed citations
8.
Ramirez-Escudero, M., et al.. (2017). Structural features of Aspergillus niger β‐galactosidase define its activity against glycoside linkages. FEBS Journal. 284(12). 1815–1829. 26 indexed citations
9.
Lamas‐Maceiras, Mónica, Esther Rodríguez‐Belmonte, Manuel Becerra, María-Isabel González-Siso, & M. Esperanza Cerdán. (2015). KlGcr1 controls glucose-6-phosphate dehydrogenase activity and responses to H2O2, cadmium and arsenate in Kluyveromyces lactis. Fungal Genetics and Biology. 82. 95–103. 7 indexed citations
10.
Becerra, Manuel, M. Esperanza Cerdán, & María-Isabel González-Siso. (2015). Biobutanol from cheese whey. Microbial Cell Factories. 14(1). 27–27. 30 indexed citations
11.
Lamas‐Maceiras, Mónica, et al.. (2011). Ixr1p and the control of the Saccharomyces cerevisiae hypoxic response. Applied Microbiology and Biotechnology. 94(1). 173–184. 20 indexed citations
12.
Cerdán, M. Esperanza, et al.. (2008). Applications of whey in biotechnology.. 1–33. 2 indexed citations
13.
Becerra, Manuel, et al.. (2005). Reoxidation of cytosolic NADPH inKluyveromyces lactis. FEMS Yeast Research. 6(3). 371–380. 45 indexed citations
14.
Becerra, Manuel, et al.. (2004). Genome-wide analysis ofKluyveromyces lactisin wild-type andrag2 mutant strains. Genome. 47(5). 970–978. 13 indexed citations
15.
Lombardía, Luís, Manuel Becerra, Esther Rodríguez‐Belmonte, Nicole C. Hauser, & M. Esperanza Cerdán. (2002). Genome-Wide analysis of yeast transcription upon calcium shortage. Cell Calcium. 32(2). 83–91. 10 indexed citations
16.
Till, Jeffrey H., Manuel Becerra, Anke Watty, et al.. (2002). Crystal Structure of the MuSK Tyrosine Kinase. Structure. 10(9). 1187–1196. 110 indexed citations
17.
Becerra, Manuel, et al.. (2002). The yeast transcriptome in aerobic and hypoxic conditions: effects of hap1, rox1, rox3 and srb10 deletions. Molecular Microbiology. 43(3). 545–555. 74 indexed citations
18.
Becerra, Manuel, et al.. (2001). New secretory strategies for Kluyveromyces lactis β-galactosidase. Protein Engineering Design and Selection. 14(5). 379–386. 36 indexed citations
19.
Becerra, Manuel, M. Esperanza Cerdán, & María-Isabel González-Siso. (1997). Heterologous Kluyveromyces lactis β-galactosidase production and release by Saccharomyces cerevisiae osmotic-remedial thermosensitive autolytic mutants. Biochimica et Biophysica Acta (BBA) - General Subjects. 1335(3). 235–241. 25 indexed citations
20.
Rodríguez‐Belmonte, Esther, Belén Tizón, María-Isabel González-Siso, et al.. (1996). Sequence analysis of a 10 kb DNA fragment from yeast chromosome VII reveals a novel member of the dnaJ family. Yeast. 12(2). 145–148. 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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