Evandro Ferrada

1.3k citations
25 papers · 815 · h-index 12

Impact in

  • Genetics top 10%
    • Evolution and Genetic Dynamics
    • RNA and protein synthesis mechanisms
    • Genomics and Phylogenetic Studies
    • Protein Structure and Dynamics
    • Gene Regulatory Network Analysis
    • Bioinformatics and Genomic Networks
    • CRISPR and Genetic Engineering

Papers in

    • RNA and protein synthesis mechanisms 10
    • Protein Structure and Dynamics 8
    • Machine Learning in Bioinformatics 4
    • Genomics and Phylogenetic Studies 4
    • Evolution and Genetic Dynamics 6

Evandro Ferrada

25 papers receiving 800 citations

Peers

Evandro Ferrada
Comparison fields: 5 of 118
  • Genetics 229
  • Molecular Biology 461
  • Ecology 122
  • Nutrition and Dietetics 39
  • Oncology 55
Replace Masahiko Nakamura with:
Masahiko Nakamura Japan
Susanne A. Kraemer United Kingdom
Tiziana Castrignanò Italy
Yuliya V. Karpievitch Australia
Iain L. Cartwright United States
Yichao Li United States
Ying Shen China
Svein‐Ole Mikalsen Norway
Hayan Lee South Korea
Evandro Ferrada relative to Masahiko Nakamura Japan Masahiko Nakamura's profile →
Citations per field
00.5×1.5×2.2×
Masahiko Nakamura · 1×
Citations per year

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-authors

The 25 scholars most cited alongside Evandro Ferrada, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Evandro Ferrada Line = papers co-authored together Evandro Ferrada links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 25 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2008166
2 2011165
3 2013130
4 200771
5 200857
6 201236
7 201035
8 202234
9 202321
10 200915
11 200712
12 202211
13 200710
14 20139
15 20198
16 20237
17 20177
18 20175
19 20144
20 20183

About Evandro Ferrada

Evandro Ferrada is a scholar working on Molecular Biology, Genetics, Nutrition and Dietetics, Materials Chemistry and Ecology, having authored 25 papers that have together received 815 indexed citations. Recurring topics across this work include RNA and protein synthesis mechanisms (10 papers), Protein Structure and Dynamics (8 papers), Evolution and Genetic Dynamics (6 papers), Machine Learning in Bioinformatics (4 papers), Genomics and Phylogenetic Studies (4 papers), Trace Elements in Health (3 papers), Enzyme Structure and Function (3 papers) and Drug Transport and Resistance Mechanisms (2 papers). The work is most often cited by research in Genetics (229 citations), Molecular Biology (461 citations), Ecology (122 citations), Nutrition and Dietetics (39 citations) and Oncology (55 citations). Evandro Ferrada has collaborated with scholars based in Chile, United States and Austria. Frequent co-authors include Andreas Wagner, Eric J. Hayden, Francisco Melo, Ismael A. Vergara, Niv Sabath, Aditya Barve, Alex W. Slater, Tomás Norambuena, Giulio Superti‐Furga and J. Pablo Huidobro‐Toro. Their work appears in journals such as Genome Biology and Evolution, Protein Science, Journal of Molecular Evolution, iScience and PLoS ONE.

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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