Mario A. Fares

4.5k total citations
94 papers, 3.2k citations indexed

About

Mario A. Fares is a scholar working on Molecular Biology, Genetics and Insect Science. According to data from OpenAlex, Mario A. Fares has authored 94 papers receiving a total of 3.2k indexed citations (citations by other indexed papers that have themselves been cited), including 74 papers in Molecular Biology, 37 papers in Genetics and 12 papers in Insect Science. Recurrent topics in Mario A. Fares's work include Evolution and Genetic Dynamics (23 papers), Genomics and Phylogenetic Studies (18 papers) and Protein Structure and Dynamics (17 papers). Mario A. Fares is often cited by papers focused on Evolution and Genetic Dynamics (23 papers), Genomics and Phylogenetic Studies (18 papers) and Protein Structure and Dynamics (17 papers). Mario A. Fares collaborates with scholars based in Ireland, Spain and United States. Mario A. Fares's co-authors include Andrés Moyá, Eladio Barrio, Christina Toft, Simon Travers, Francisco M. Codoñer, Lorenzo Carretero‐Paulet, Santiago F. Elena, David McNally, Damien C. Tully and Beatriz Sabater‐Muñoz and has published in prestigious journals such as Nature, Bioinformatics and PLoS ONE.

In The Last Decade

Mario A. Fares

94 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mario A. Fares Ireland 33 2.0k 673 588 365 304 94 3.2k
Silvano Squizzato United Kingdom 8 2.2k 1.1× 472 0.7× 565 1.0× 284 0.8× 158 0.5× 8 3.6k
Marcelo Valle de Sousa Brazil 31 1.3k 0.7× 696 1.0× 567 1.0× 237 0.6× 142 0.5× 145 3.0k
Tamer Gür United Kingdom 5 2.3k 1.2× 419 0.6× 743 1.3× 322 0.9× 145 0.5× 6 3.9k
Joon Lee South Korea 7 2.4k 1.2× 411 0.6× 697 1.2× 305 0.8× 125 0.4× 14 4.0k
Nicola Buso United Kingdom 5 3.1k 1.6× 594 0.9× 944 1.6× 421 1.2× 201 0.7× 5 5.2k
Nandana Madhusoodanan United Kingdom 5 3.0k 1.5× 583 0.9× 898 1.5× 412 1.1× 174 0.6× 5 5.0k
Fábio Madeira United Kingdom 9 3.2k 1.7× 600 0.9× 916 1.6× 430 1.2× 179 0.6× 14 5.4k
Hugh B. Nicholas United States 18 2.0k 1.0× 334 0.5× 876 1.5× 255 0.7× 188 0.6× 46 3.5k
Valérie Labas France 36 2.2k 1.1× 564 0.8× 329 0.6× 613 1.7× 83 0.3× 135 4.3k
Adrian R. Tivey United Kingdom 7 3.2k 1.6× 628 0.9× 1.0k 1.7× 435 1.2× 183 0.6× 7 5.5k

Countries citing papers authored by Mario A. Fares

Since Specialization
Citations

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

Fields of papers citing papers by Mario A. Fares

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mario A. Fares

This figure shows the co-authorship network connecting the top 25 collaborators of Mario A. Fares. A scholar is included among the top collaborators of Mario A. Fares 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 A. Fares. Mario A. Fares 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.
Klein, Andreas, Mario A. Fares, Samir Yahiaoui, et al.. (2024). Dual inhibitors of Pseudomonas aeruginosa virulence factors LecA and LasB. Chemical Science. 15(33). 13333–13342. 8 indexed citations
2.
Fares, Mario A., et al.. (2021). The Role of Ancestral Duplicated Genes in Adaptation to Growth on Lactate, a Non-Fermentable Carbon Source for the Yeast Saccharomyces cerevisiae. International Journal of Molecular Sciences. 22(22). 12293–12293. 2 indexed citations
3.
4.
Alvarez‐Ponce, David, José Aguilar-Rodríguez, & Mario A. Fares. (2019). Molecular Chaperones Accelerate the Evolution of Their Protein Clients in Yeast. Genome Biology and Evolution. 11(8). 2360–2375. 22 indexed citations
5.
Alvarez‐Ponce, David, Mario X. Ruiz‐González, Francisco Vera‐Sirera, et al.. (2018). Arabidopsis Heat Stress-Induced Proteins Are Enriched in Electrostatically Charged Amino Acids and Intrinsically Disordered Regions. International Journal of Molecular Sciences. 19(8). 2276–2276. 9 indexed citations
6.
Sabater‐Muñoz, Beatriz, et al.. (2017). The Phenotypic Plasticity of Duplicated Genes in Saccharomyces cerevisiae and the Origin of Adaptations. G3 Genes Genomes Genetics. 7(1). 63–75. 29 indexed citations
7.
Li, Hanqing, Michael Anaya, Jost Vielmetter, et al.. (2017). Deconstruction of the beaten Path-Sidestep interaction network provides insights into neuromuscular system development. eLife. 6. 68 indexed citations
8.
Rodrigo, Guillermo & Mario A. Fares. (2012). Describing the structural robustness landscape of bacterial small RNAs. BMC Evolutionary Biology. 12(1). 52–52. 5 indexed citations
9.
Garceau, Valérie, Jacqueline Smith, Ian R. Paton, et al.. (2010). Pivotal Advance: Avian colony-stimulating factor 1 ( CSF-1 ), interleukin-34 ( IL-34 ), and CSF-1 receptor genes and gene products. Journal of Leukocyte Biology. 87(5). 753–764. 141 indexed citations
10.
Williams, Tom A., Francisco M. Codoñer, Christina Toft, & Mario A. Fares. (2009). Two chaperonin systems in bacterial genomes with distinct ecological roles. Trends in Genetics. 26(2). 47–51. 23 indexed citations
11.
Jiang, Xiaowei & Mario A. Fares. (2009). IDENTIFYING COEVOLUTIONARY PATTERNS IN HUMAN LEUKOCYTE ANTIGEN (HLA) MOLECULES. Evolution. 64(5). 1429–45. 5 indexed citations
12.
Codoñer, Francisco M., Shirley O’Dea, & Mario A. Fares. (2008). Reducing the false positive rate in the non-parametric analysis of molecular coevolution. BMC Evolutionary Biology. 8(1). 106–106. 10 indexed citations
13.
Williams, Tom A., Kenneth H. Wolfe, & Mario A. Fares. (2008). No Rosetta Stone for a Sense–Antisense Origin of Aminoacyl tRNA Synthetase Classes. Molecular Biology and Evolution. 26(2). 445–450. 15 indexed citations
14.
Codoñer, Francisco M. & Mario A. Fares. (2008). Why should we care about molecular coevolution?. PubMed. 4. 29–38. 60 indexed citations
15.
Tully, Damien C. & Mario A. Fares. (2008). The tale of a modern animal plague: Tracing the evolutionary history and determining the time-scale for foot and mouth disease virus. Virology. 382(2). 250–256. 43 indexed citations
16.
Fares, Mario A.. (2003). Positive Selection and Subfunctionalization of Duplicated CCT Chaperonin Subunits. Molecular Biology and Evolution. 20(10). 1588–1597. 34 indexed citations
17.
Fares, Mario A., Mario X. Ruiz‐González, Andrés Moyá, Santiago F. Elena, & Eladio Barrio. (2002). GroEL buffers against deleterious mutations. Nature. 417(6887). 398–398. 205 indexed citations
18.
Fares, Mario A., Eladio Barrio, Beatriz Sabater‐Muñoz, & Andrés Moyá. (2002). The Evolution of the Heat-Shock Protein GroEL from Buchnera, the Primary Endosymbiont of Aphids, Is Governed by Positive Selection. Molecular Biology and Evolution. 19(7). 1162–1170. 57 indexed citations
19.
Fares, Mario A., et al.. (2002). A Sliding Window-Based Method to Detect Selective Constraints in Protein-Coding Genes and Its Application to RNA Viruses. Journal of Molecular Evolution. 55(5). 509–521. 65 indexed citations
20.
Marı́n, Ignacio, Mario A. Fares, Fernando Gónzález‐Candelas, Eladio Barrio, & Andrés Moyá. (2001). Detecting Changes in the Functional Constraints of Paralogous Genes. Journal of Molecular Evolution. 52(1). 17–28. 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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