Evandro Ferrada

1.2k total citations
25 papers, 790 citations indexed

About

Evandro Ferrada is a scholar working on Molecular Biology, Genetics and Nutrition and Dietetics. According to data from OpenAlex, Evandro Ferrada has authored 25 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Molecular Biology, 8 papers in Genetics and 3 papers in Nutrition and Dietetics. Recurrent topics in Evandro Ferrada's work include RNA and protein synthesis mechanisms (10 papers), Protein Structure and Dynamics (8 papers) and Evolution and Genetic Dynamics (6 papers). Evandro Ferrada is often cited by papers focused on RNA and protein synthesis mechanisms (10 papers), Protein Structure and Dynamics (8 papers) and Evolution and Genetic Dynamics (6 papers). Evandro Ferrada collaborates with scholars based in Chile, United States and Austria. Evandro Ferrada's co-authors include Andreas Wagner, Eric J. Hayden, Francisco Melo, Ismael A. Vergara, Tomás Norambuena, Alex W. Slater, Niv Sabath, Aditya Barve, Giulio Superti‐Furga and J. Pablo Huidobro‐Toro and has published in prestigious journals such as Nature, Journal of Biological Chemistry and PLoS ONE.

In The Last Decade

Evandro Ferrada

23 papers receiving 776 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Evandro Ferrada Chile 11 474 230 123 56 51 25 790
Yoko Nakajima Japan 23 689 1.5× 102 0.4× 111 0.9× 116 2.1× 34 0.7× 132 1.7k
Sira Sriswasdi Thailand 19 551 1.2× 74 0.3× 103 0.8× 62 1.1× 22 0.4× 67 1.1k
Sven-Eric Schelhorn Germany 6 964 2.0× 96 0.4× 143 1.2× 67 1.2× 15 0.3× 8 1.5k
John D. Watson Canada 17 853 1.8× 349 1.5× 71 0.6× 116 2.1× 44 0.9× 36 1.5k
Fernando Ortega United Kingdom 15 506 1.1× 75 0.3× 98 0.8× 29 0.5× 37 0.7× 40 1.1k
Philip E. Mirkes United States 24 1.1k 2.3× 142 0.6× 61 0.5× 139 2.5× 13 0.3× 76 1.9k
Frida Belinky United States 15 838 1.8× 212 0.9× 80 0.7× 50 0.9× 7 0.1× 20 1.2k
Guoqiang Li China 16 1.5k 3.2× 397 1.7× 28 0.2× 46 0.8× 12 0.2× 46 1.9k
Xinjian Wang China 18 617 1.3× 107 0.5× 40 0.3× 11 0.2× 123 2.4× 52 1.1k

Countries citing papers authored by Evandro Ferrada

Since Specialization
Citations

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

Fields of papers citing papers by Evandro Ferrada

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Evandro Ferrada

This figure shows the co-authorship network connecting the top 25 collaborators of Evandro Ferrada. A scholar is included among the top collaborators of Evandro Ferrada 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 Evandro Ferrada. Evandro Ferrada 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.
Wang, Wen‐An, et al.. (2025). Large-scale experimental assessment of variant effects on the structure and function of the citrate transporter SLC13A5. Science Advances. 11(26). eadx3011–eadx3011.
2.
Huang, Jiahui, Aidan MacNamara, Anders Mälarstig, et al.. (2024). ProteoMutaMetrics: machine learning approaches for solute carrier family 6 mutation pathogenicity prediction. RSC Advances. 14(19). 13083–13094. 1 indexed citations
3.
Ferrada, Evandro, Tabea Wiedmer, Wen‐An Wang, et al.. (2023). Experimental and Computational Analysis of Newly Identified Pathogenic Mutations in the Creatine Transporter SLC6A8. Journal of Molecular Biology. 436(2). 168383–168383. 6 indexed citations
4.
Gómez, María Isabel, Evandro Ferrada, Viviana Escudero, et al.. (2023). Using an embryo specific promoter to modify iron distribution pattern in Arabidopsis. Plant Science. 339. 111931–111931. 1 indexed citations
6.
Ferrada, Evandro & Giulio Superti‐Furga. (2022). A structure and evolutionary-based classification of solute carriers. iScience. 25(10). 105096–105096. 33 indexed citations
7.
Ferrada, Evandro. (2021). Quantifying the Mutational Robustness of Protein-Coding Genes. Journal of Molecular Evolution. 89(6). 357–369. 1 indexed citations
8.
Ferrada, Evandro. (2018). The Site-Specific Amino Acid Preferences of Homologous Proteins Depend on Sequence Divergence. Genome Biology and Evolution. 11(1). 121–135. 3 indexed citations
9.
Ferrada, Evandro, et al.. (2017). Early emergence of negative regulation of the tyrosine kinase Src by the C-terminal Src kinase. Journal of Biological Chemistry. 292(45). 18518–18529. 5 indexed citations
10.
Ferrada, Evandro. (2014). The Amino Acid Alphabet and the Architecture of the Protein Sequence-Structure Map. I. Binary Alphabets. PLoS Computational Biology. 10(12). e1003946–e1003946. 4 indexed citations
11.
Sabath, Niv, Evandro Ferrada, Aditya Barve, & Andreas Wagner. (2013). Growth Temperature and Genome Size in Bacteria Are Negatively Correlated, Suggesting Genomic Streamlining During Thermal Adaptation. Genome Biology and Evolution. 5(5). 966–977. 124 indexed citations
12.
Hayden, Eric J., et al.. (2013). The Effects of Stabilizing and Directional Selection on Phenotypic and Genotypic Variation in a Population of RNA Enzymes. Journal of Molecular Evolution. 78(2). 101–108. 9 indexed citations
13.
Ferrada, Evandro & Andreas Wagner. (2012). A Comparison of Genotype-Phenotype Maps for RNA and Proteins. Biophysical Journal. 102(8). 1916–1925. 36 indexed citations
14.
Hayden, Eric J., Evandro Ferrada, & Andreas Wagner. (2011). Cryptic genetic variation promotes rapid evolutionary adaptation in an RNA enzyme. Nature. 474(7349). 92–95. 163 indexed citations
15.
Ferrada, Evandro & Andreas Wagner. (2010). Evolutionary Innovations and the Organization of Protein Functions in Genotype Space. PLoS ONE. 5(11). e14172–e14172. 33 indexed citations
16.
Ferrada, Evandro & Francisco Melo. (2009). Effective knowledge‐based potentials. Protein Science. 18(7). 1469–1485. 15 indexed citations
17.
Vergara, Ismael A., Tomás Norambuena, Evandro Ferrada, Alex W. Slater, & Francisco Melo. (2008). StAR: a simple tool for the statistical comparison of ROC curves. BMC Bioinformatics. 9(1). 265–265. 165 indexed citations
18.
Ferrada, Evandro, Ismael A. Vergara, & Francisco Melo. (2007). A Knowledge-Based Potential with an Accurate Description of Local Interactions Improves Discrimination between Native and Near-Native Protein Conformations. Cell Biochemistry and Biophysics. 49(2). 111–124. 12 indexed citations
19.
Ferrada, Evandro & Francisco Melo. (2007). Nonbonded terms extrapolated from nonlocal knowledge‐based energy functions improve error detection in near‐native protein structure models. Protein Science. 16(7). 1410–1421. 10 indexed citations
20.
Ferrada, Evandro, Veróníca Arancibia, Bárbara Loeb, et al.. (2007). Stoichiometry and conditional stability constants of Cu(II) or Zn(II) clioquinol complexes; implications for Alzheimer's and Huntington's disease therapy. NeuroToxicology. 28(3). 445–449. 71 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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