María Elena Lienqueo

1.6k total citations
61 papers, 1.2k citations indexed

About

María Elena Lienqueo is a scholar working on Molecular Biology, Aquatic Science and Biomedical Engineering. According to data from OpenAlex, María Elena Lienqueo has authored 61 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 43 papers in Molecular Biology, 16 papers in Aquatic Science and 15 papers in Biomedical Engineering. Recurrent topics in María Elena Lienqueo's work include Protein purification and stability (22 papers), Seaweed-derived Bioactive Compounds (16 papers) and Biofuel production and bioconversion (13 papers). María Elena Lienqueo is often cited by papers focused on Protein purification and stability (22 papers), Seaweed-derived Bioactive Compounds (16 papers) and Biofuel production and bioconversion (13 papers). María Elena Lienqueo collaborates with scholars based in Chile, Finland and Sweden. María Elena Lienqueo's co-authors include Juan A. Asenjo, Andrea Mahn, J. Cristian Salgado, Allison Leyton, Päivi Mäki‐Arvela, Oriana Salazar, Carolina Shene, Jyri‐Pekka Mikkola, Alejandro H. Buschmann and María Cristina Ravanal and has published in prestigious journals such as Bioresource Technology, Food Chemistry and Annals of the New York Academy of Sciences.

In The Last Decade

María Elena Lienqueo

60 papers receiving 1.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
María Elena Lienqueo Chile 22 682 278 266 211 177 61 1.2k
Irene Rodríguez‐Meizoso Sweden 17 381 0.6× 287 1.0× 141 0.5× 150 0.7× 333 1.9× 31 1.3k
Li Tao China 21 447 0.7× 79 0.3× 134 0.5× 75 0.4× 153 0.9× 65 1.0k
Jaroslav A. Kralovec Canada 21 373 0.5× 137 0.5× 198 0.7× 58 0.3× 215 1.2× 40 1.2k
Sileshi Gizachew Wubshet Norway 25 835 1.2× 91 0.3× 88 0.3× 67 0.3× 31 0.2× 57 1.5k
Fakher Frikha Tunisia 22 776 1.1× 222 0.8× 158 0.6× 25 0.1× 71 0.4× 83 1.5k
Keju Jing China 23 709 1.0× 242 0.9× 86 0.3× 41 0.2× 878 5.0× 49 1.6k
Haibo Zhou China 20 469 0.7× 188 0.7× 92 0.3× 19 0.1× 301 1.7× 60 1.6k
Kazuya Murakami Japan 19 263 0.4× 158 0.6× 35 0.1× 32 0.2× 152 0.9× 57 1.1k
Yves S. Y. Hsieh Sweden 21 532 0.8× 278 1.0× 170 0.6× 21 0.1× 64 0.4× 56 1.4k

Countries citing papers authored by María Elena Lienqueo

Since Specialization
Citations

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

Fields of papers citing papers by María Elena Lienqueo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by María Elena Lienqueo. 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 María Elena Lienqueo. The network helps show where María Elena Lienqueo may publish in the future.

Co-authorship network of co-authors of María Elena Lienqueo

This figure shows the co-authorship network connecting the top 25 collaborators of María Elena Lienqueo. A scholar is included among the top collaborators of María Elena Lienqueo 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 María Elena Lienqueo. María Elena Lienqueo 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.
Burgos‐Díaz, César, et al.. (2024). Comprehensive Nutritional and Functional Characterization of Novel Mycoprotein Derived from the Bioconversion of Durvillaea spp.. Foods. 13(15). 2376–2376. 2 indexed citations
2.
Medina-Ortiz, David, et al.. (2024). Integrative workflows for the characterization of hydrophobin and cerato-platanin in the marine fungus Paradendryphiella salina. Archives of Microbiology. 206(9). 385–385. 1 indexed citations
3.
4.
Guajardo, Nadia, et al.. (2023). Statistical optimization of the yield of the oxidation of 5-hydroxymethylfurfural to 2,5-furandicarboxylic acid catalyzed by laccase from Trametes versicolor. Biochemical Engineering Journal. 202. 109157–109157. 7 indexed citations
5.
6.
Lienqueo, María Elena, et al.. (2022). Optimization and Determination of Kinetic Parameters of the Synthesis of 5-Lauryl-hydroxymethylfurfural Catalyzed by Lipases. Catalysts. 13(1). 19–19. 3 indexed citations
7.
8.
Cicatiello, Paola, et al.. (2021). The growth of marine fungi on seaweed polysaccharides produces cerato-platanin and hydrophobin self-assembling proteins. Microbiological Research. 251. 126835–126835. 11 indexed citations
9.
Leyton, Allison, et al.. (2019). Macrocystis pyriferasource of nutrients for the production of carotenoids by a marine yeastRhodotorula mucilaginosa. Journal of Applied Microbiology. 127(4). 1069–1079. 25 indexed citations
10.
Leyton, Allison, María Elena Lienqueo, & Carolina Shene. (2019). Macrocystis pyrifera: substrate for the production of bioactive compounds. Journal of Applied Phycology. 32(4). 2335–2341. 9 indexed citations
11.
Gimpel, Javier, María Cristina Ravanal, Oriana Salazar, & María Elena Lienqueo. (2018). Saccharification of Brown Macroalgae Using an Arsenal of Recombinant Alginate Lyases: Potential Application in the Biorefinery Process. Journal of Microbiology and Biotechnology. 28(10). 1671–1682. 10 indexed citations
12.
Lienqueo, María Elena, et al.. (2017). Optimized purification of mono‐PEGylated lysozyme by heparin affinity chromatography using response surface methodology. Journal of Chemical Technology & Biotechnology. 92(10). 2554–2562. 10 indexed citations
13.
Tubío, Gisela, et al.. (2017). Interaction between trypsin and alginate: An ITC and DLS approach to the formation of insoluble complexes. Colloids and Surfaces B Biointerfaces. 155. 507–511. 14 indexed citations
14.
Pezoa, R., M. Reunanen, Jarl Hemming, et al.. (2010). USE OF IONIC LIQUIDS IN THE PRETREATMENT OF FOREST AND AGRICULTURAL RESIDUES FOR THE PRODUCTION OF BIOETHANOL. Cellulose Chemistry and Technology. 44. 165–172. 26 indexed citations
15.
Salazar, Oriana, et al.. (2010). Comparison of shf and ssf processes from forest residues pretrated with ionic liquid to obtain bioethanol. Journal of Biotechnology. 150. 181–181. 2 indexed citations
16.
Lienqueo, María Elena, et al.. (2009). Bioenergy II: Biological Pretreatment with Fungi as a Tool for Improvement of the Enzymatic Saccharification of Eucalyptus globulus Labill to Obtain Bioethanol. International Journal of Chemical Reactor Engineering. 7(1). 4 indexed citations
17.
Mahn, Andrea, María Elena Lienqueo, & Juan A. Asenjo. (2006). Optimal operation conditions for protein separation in hydrophobic interaction chromatography. Journal of Chromatography B. 849(1-2). 236–242. 21 indexed citations
18.
Lienqueo, María Elena, Andrea Mahn, & Juan A. Asenjo. (2002). Mathematical correlations for predicting protein retention times in hydrophobic interaction chromatography. Journal of Chromatography A. 978(1-2). 71–79. 63 indexed citations
19.
Salazar, Oriana, et al.. (2001). Overproduction, Purification, and Characterization of β-1,3-Glucanase Type II in Escherichia coli. Protein Expression and Purification. 23(2). 219–225. 17 indexed citations
20.
Lienqueo, María Elena, et al.. (1996). Implementation in an Expert System of a Selection Rationale for Purification Processes for Recombinant Proteinsa. Annals of the New York Academy of Sciences. 782(1). 441–455. 12 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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