Amparo I. Zavaleta

596 total citations
55 papers, 438 citations indexed

About

Amparo I. Zavaleta is a scholar working on Molecular Biology, Food Science and Biotechnology. According to data from OpenAlex, Amparo I. Zavaleta has authored 55 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 17 papers in Food Science and 15 papers in Biotechnology. Recurrent topics in Amparo I. Zavaleta's work include Enzyme Production and Characterization (13 papers), Protein Hydrolysis and Bioactive Peptides (12 papers) and Microbial Metabolites in Food Biotechnology (6 papers). Amparo I. Zavaleta is often cited by papers focused on Enzyme Production and Characterization (13 papers), Protein Hydrolysis and Bioactive Peptides (12 papers) and Microbial Metabolites in Food Biotechnology (6 papers). Amparo I. Zavaleta collaborates with scholars based in Peru, Spain and Brazil. Amparo I. Zavaleta's co-authors include Francisco Rodríguez‐Valera, Antonio Martínez‐Murcia, Karim Jiménez‐Aliaga, Blanca Hernández‐Ledesma, Angel Mújica, Braulio Esteve‐Zarzoso, Claudio Álvarez, Fanny Guzmán, Guillermo R. Castro and Vera A. Álvarez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Applied and Environmental Microbiology and Food Chemistry.

In The Last Decade

Amparo I. Zavaleta

50 papers receiving 417 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Amparo I. Zavaleta Peru 11 204 179 102 71 62 55 438
Ana Patrícia Silva de Oliveira Brazil 14 221 1.1× 101 0.6× 276 2.7× 46 0.6× 29 0.5× 36 578
Maurício Afonso Verícimo Brazil 14 114 0.6× 126 0.7× 70 0.7× 35 0.5× 51 0.8× 38 447
Rama Nannapaneni United States 10 117 0.6× 282 1.6× 43 0.4× 92 1.3× 61 1.0× 10 451
Kexin Zhang China 13 134 0.7× 145 0.8× 91 0.9× 20 0.3× 40 0.6× 33 437
Dafeng Song China 13 362 1.8× 384 2.1× 139 1.4× 72 1.0× 151 2.4× 34 683
Kwang-Pyo Kim South Korea 11 159 0.8× 150 0.8× 71 0.7× 113 1.6× 26 0.4× 32 517
S.A. Kim South Korea 8 88 0.4× 170 0.9× 43 0.4× 71 1.0× 19 0.3× 9 379
Goran Vukotić Serbia 12 149 0.7× 156 0.9× 41 0.4× 26 0.4× 57 0.9× 21 387
Yinglei Xu China 13 279 1.4× 207 1.2× 87 0.9× 16 0.2× 57 0.9× 20 707
Aline Teodoro de Paula Brazil 7 247 1.2× 418 2.3× 61 0.6× 92 1.3× 160 2.6× 13 549

Countries citing papers authored by Amparo I. Zavaleta

Since Specialization
Citations

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

Fields of papers citing papers by Amparo I. Zavaleta

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Amparo I. Zavaleta. 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 Amparo I. Zavaleta. The network helps show where Amparo I. Zavaleta may publish in the future.

Co-authorship network of co-authors of Amparo I. Zavaleta

This figure shows the co-authorship network connecting the top 25 collaborators of Amparo I. Zavaleta. A scholar is included among the top collaborators of Amparo I. Zavaleta 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 Amparo I. Zavaleta. Amparo I. Zavaleta 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.
Alvarado, Ángel T., et al.. (2025). Role of pharmacogenomics for prevention of hypersensitivity reactions induced by aromatic antiseizure medications. Frontiers in Pharmacology. 16. 1640401–1640401. 1 indexed citations
2.
Brandelli, Adriano, et al.. (2024). One-step purification and characterization of a haloprotease from Micrococcus sp. PC7 for the production of protein hydrolysates from Andean legumes. Archives of Microbiology. 206(9). 377–377. 2 indexed citations
3.
Jiménez‐Aliaga, Karim, et al.. (2023). Caracterización bioinformática y producción de L-asparaginasa de Bacillus sp. M62 aislado de las salinas de Maras, Cusco, Perú. Revista Peruana de Biología. 30(1). e22411–e22411. 1 indexed citations
4.
Monteiro, Gisele, et al.. (2023). Characterization of a Type II L-Asparaginase from the Halotolerant Bacillus subtilis CH11. Life. 13(11). 2145–2145. 5 indexed citations
5.
Arellano‐García, Harvey, et al.. (2021). Optimization of lactic acid production by Lactobacillus plantarum strain Hui1 in a medium containing sugar cane molasses. SHILAP Revista de lepidopterología. 39(1). 98–107. 3 indexed citations
6.
Zavaleta, Amparo I., et al.. (2021). Antimicrobial peptides purified from hydrolysates of kanihua (Chenopodium pallidicaule Aellen) seed protein fractions. Food Chemistry. 360. 129951–129951. 31 indexed citations
7.
Rodrigues, David, André Moreni Lopes, Valker Araujo Feitosa, et al.. (2020). Recombinant l‐asparaginase production using Pichia pastoris (MUTs strain): establishment of conditions for growth and induction phases. Journal of Chemical Technology & Biotechnology. 96(1). 283–292. 10 indexed citations
8.
Zavaleta, Amparo I., et al.. (2019). Production and Characterization of Extremophilic Proteinases From a New Enzyme Source, Barrientosiimonas sp. V9. Applied Biochemistry and Biotechnology. 190(3). 1060–1073. 1 indexed citations
9.
Dobrijevic, Dragana, et al.. (2018). Novel extremophilic proteases from Pseudomonas aeruginosa M211 and their application in the hydrolysis of dried distiller's grain with solubles. Biotechnology Progress. 35(1). e2728–e2728. 7 indexed citations
10.
Jiménez‐Aliaga, Karim, et al.. (2018). Production of Antioxidant Hydrolyzates from a Lupinus mutabilis (Tarwi) Protein Concentrate with Alcalase: Optimization by Response Surface Methodology. Natural Product Communications. 13(6). 10 indexed citations
11.
Jiménez‐Aliaga, Karim, et al.. (2018). Novel antioxidant peptides obtained by alcalase hydrolysis of Erythrina edulis (pajuro) protein. Journal of the Science of Food and Agriculture. 99(5). 2420–2427. 33 indexed citations
12.
13.
Zavaleta, Amparo I., et al.. (2008). Hidrometalurgia de minerales sulfurados con presencia de bacterias en medio salinos. 11(22). 7–12.
14.
Lanfranco, Maria Fe, Raúl Loayza‐Muro, Daniel Clark, et al.. (2008). Expression and substrate specificity of a recombinant cysteine proteinase B of Leishmania braziliensis. Molecular and Biochemical Parasitology. 161(2). 91–100. 9 indexed citations
15.
Zavaleta, Amparo I., et al.. (2008). Amplified 16S Ribosomal DNA Restriction Analysis for Identification of Avibacterium paragallinarum. Avian Diseases. 52(1). 54–58. 10 indexed citations
16.
17.
Zavaleta, Amparo I., et al.. (2005). Intraspecies Genetic Variability of Ornithobacterium rhinotracheale in Commercial Birds in Peru. Avian Diseases. 49(1). 108–111. 13 indexed citations
18.
Zavaleta, Amparo I., et al.. (2003). Estudio del potencial probiótico de lactobacilos aislados de fuentes naturales. 6(1). 30–35. 4 indexed citations
19.
Zavaleta, Amparo I., et al.. (1998). Canales de calcio voltajes dependientes. 1(1). 49–61. 1 indexed citations
20.
Zavaleta, Amparo I., Antonio Martínez‐Murcia, & Francisco Rodríguez‐Valera. (1996). 16S-23S rDNA intergenic sequences indicate that Leuconostoc oenos is phylogenetically homogeneous. Microbiology. 142(8). 2105–2114. 62 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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