Mario Tello

1.2k total citations
51 papers, 664 citations indexed

About

Mario Tello is a scholar working on Molecular Biology, Immunology and Biotechnology. According to data from OpenAlex, Mario Tello has authored 51 papers receiving a total of 664 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Molecular Biology, 18 papers in Immunology and 8 papers in Biotechnology. Recurrent topics in Mario Tello's work include Aquaculture disease management and microbiota (16 papers), Microbial Metabolism and Applications (7 papers) and Bacteriophages and microbial interactions (6 papers). Mario Tello is often cited by papers focused on Aquaculture disease management and microbiota (16 papers), Microbial Metabolism and Applications (7 papers) and Bacteriophages and microbial interactions (6 papers). Mario Tello collaborates with scholars based in Chile, Mexico and France. Mario Tello's co-authors include Alex González, Gino Corsini, Rosalba Lagos, Gabriela Mercado, Octavio Monasterio, Vanessa García-Larsen, Eugenio Spencer, Ana María Sandino, Omar Orellana and Sergio Lobos and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Virology.

In The Last Decade

Mario Tello

49 papers receiving 651 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario Tello Chile 15 239 183 118 110 106 51 664
J. Gaspar Lorén Spain 17 382 1.6× 318 1.7× 192 1.6× 116 1.1× 69 0.7× 45 900
Denise Mara Soares Bazzolli Brazil 19 312 1.3× 157 0.9× 150 1.3× 140 1.3× 318 3.0× 55 1.0k
Jingwei Jiang China 14 181 0.8× 142 0.8× 113 1.0× 71 0.6× 97 0.9× 29 628
Verónica Rojas Chile 17 308 1.3× 300 1.6× 103 0.9× 201 1.8× 160 1.5× 32 952
Ravindranath Shashidhar India 19 247 1.0× 137 0.7× 133 1.1× 352 3.2× 138 1.3× 63 839
Chang Guo China 13 387 1.6× 240 1.3× 126 1.1× 42 0.4× 99 0.9× 17 871
Bianca Audrain France 10 258 1.1× 75 0.4× 83 0.7× 107 1.0× 206 1.9× 12 633
Han Jiang China 17 333 1.4× 53 0.3× 87 0.7× 261 2.4× 78 0.7× 49 844
Rhea G. Abisado United States 5 358 1.5× 52 0.3× 86 0.7× 65 0.6× 59 0.6× 5 608
Joel T. Weadge Canada 16 627 2.6× 58 0.3× 125 1.1× 113 1.0× 150 1.4× 29 1.0k

Countries citing papers authored by Mario Tello

Since Specialization
Citations

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

Fields of papers citing papers by Mario Tello

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario Tello

This figure shows the co-authorship network connecting the top 25 collaborators of Mario Tello. A scholar is included among the top collaborators of Mario Tello 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 Mario Tello. Mario Tello 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.
Schimpf, Christian, David Rafaja, Michael Schlömann, et al.. (2025). Adaptive response of the holdase chaperone network of Acidithiobacillus ferrooxidans ATCC 23270 to stresses and energy sources. World Journal of Microbiology and Biotechnology. 41(4). 121–121. 1 indexed citations
2.
Fuente, A. de la, et al.. (2025). Quercetin and Silybin Decrease Intracellular Replication of Piscirickettsia salmonis in SHK-1 Cell. International Journal of Molecular Sciences. 26(3). 1184–1184. 2 indexed citations
3.
Pardo-Esté, Coral, Rolando Vernal, Mario Tello, et al.. (2025). Resilient by Design: Environmental Stress Promotes Biofilm Formation and Multi-Resistance in Poultry-Associated Salmonella. Microorganisms. 13(8). 1812–1812. 3 indexed citations
4.
Torres-Maravilla, Edgar, Kevin Maisey, Alejandro Cabezas‐Cruz, et al.. (2024). Importance of Probiotics in Fish Aquaculture: Towards the Identification and Design of Novel Probiotics. Microorganisms. 12(3). 626–626. 38 indexed citations
5.
6.
Guerrero, Juan, et al.. (2024). [Cu(NN1)2]ClO4, a Copper (I) Complex as an Antimicrobial Agent for the Treatment of Piscirickettsiosis in Atlantic Salmon. International Journal of Molecular Sciences. 25(7). 3700–3700. 1 indexed citations
7.
Calisto, Nancy, Claudio Gómez-Fuentes, Lorena Salazar, et al.. (2024). Characterization of Antibiotic-Resistance Antarctic Pseudomonas That Produce Bacteriocin-like Compounds. Microorganisms. 12(3). 530–530. 3 indexed citations
8.
Castro-Alarcón, Natividad, Gloría Pérez-Rubio, Ramcés Falfán‐Valencia, et al.. (2023). Serum Levels of IFABP2 and Differences in Lactobacillus and Porphyromonas gingivalis Abundance on Gut Microbiota Are Associated with Poor Therapeutic Response in Rheumatoid Arthritis: A Pilot Study. International Journal of Molecular Sciences. 24(3). 1958–1958. 4 indexed citations
9.
Pardo-Esté, Coral, Jorge Olivares‐Pacheco, Juan Castro‐Severyn, et al.. (2023). Mobile genetic elements drive the multidrug resistance and spread of Salmonella serotypes along a poultry meat production line. Frontiers in Microbiology. 14. 1072793–1072793. 17 indexed citations
10.
Tello, Mario, et al.. (2022). Use of Cocktail of Bacteriophage for Salmonella Typhimurium Control in Chicken Meat. Foods. 11(8). 1164–1164. 16 indexed citations
11.
Fermoso, Fernando G., Nicolás Sánchez, Mario Tello, et al.. (2021). Effect of the addition of fly ash on the specific methane production and microbial communities in the anaerobic digestion of real winery wastewater. Journal of Chemical Technology & Biotechnology. 96(10). 2882–2890. 14 indexed citations
12.
Nest, Magriet A. van der, Renato Chávez, Lieschen De Vos, et al.. (2021). IMA genome - F14. IMA Fungus. 12(1). 5–5. 8 indexed citations
13.
Muñoz, Carlos, et al.. (2021). Lactococcus lactis Expressing Type I Interferon From Atlantic Salmon Enhances the Innate Antiviral Immune Response In Vivo and In Vitro. Frontiers in Immunology. 12. 696781–696781. 7 indexed citations
14.
Tello, Mario, F. Avalos, & Omar Orellana. (2018). Codon usage and modular interactions between messenger RNA coding regions and small RNAs in Escherichia coli. BMC Genomics. 19(1). 657–657. 3 indexed citations
15.
16.
Cottet, Luis, et al.. (2015). Draft genome sequence of Janthinobacterium lividum strain MTR reveals its mechanism of capnophilic behavior. Standards in Genomic Sciences. 10(1). 110–110. 28 indexed citations
17.
Sanhueza, Loreto, et al.. (2014). Draft genome sequence of the Chilean isolate Aeromonas salmonicida strain CBA100. FEMS Microbiology Letters. 362(5). 17 indexed citations
18.
Campos, Pablo, et al.. (2013). HIV-1 tropism: a comparison between RNA and proviral DNA in routine clinical samples from Chilean patients. Virology Journal. 10(1). 318–318. 1 indexed citations
19.
Corsini, Gino, et al.. (2010). Purification and characterization of the antimicrobial peptide microcin N. FEMS Microbiology Letters. 312(2). 119–125. 21 indexed citations
20.
Tello, Mario, et al.. (2001). Isolation and characterization of homokaryotic strains from the ligninolytic basidiomycete Ceriporiopsis subvermispora. FEMS Microbiology Letters. 199(1). 91–96. 14 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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