Fábio Malcher Miranda

38 total papers · 591 total citations
8 papers, 91 citations indexed

About

Fábio Malcher Miranda is a scholar working on Molecular Biology, Microbiology and Ecology. According to data from OpenAlex, Fábio Malcher Miranda has authored 8 papers receiving a total of 91 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 3 papers in Microbiology and 2 papers in Ecology. Recurrent topics in Fábio Malcher Miranda's work include Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). Fábio Malcher Miranda is often cited by papers focused on Genomics and Phylogenetic Studies (5 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). Fábio Malcher Miranda collaborates with scholars based in Brazil, Germany and United States. Fábio Malcher Miranda's co-authors include Vasco Azevedo, Siomar de Castro Soares, Rommel Thiago Jucá Ramos, Preetam Ghosh, Arun Kumar Jaiswal, Sandeep Tiwari, Carlo José Freire Oliveira, Artur Silva, Letícia de Castro Oliveira and Luís Carlos Guimarães and has published in prestigious journals such as Bioinformatics, PLoS ONE and BMC Bioinformatics.

In The Last Decade

Fábio Malcher Miranda

8 papers receiving 91 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Fábio Malcher Miranda 59 24 21 17 14 8 91
Axel Walter 76 1.3× 34 1.4× 23 1.1× 7 0.4× 20 1.4× 11 140
Kangpeng Xiao 80 1.4× 29 1.2× 30 1.4× 16 0.9× 29 2.1× 7 177
Dakota S. Jones 76 1.3× 11 0.5× 21 1.0× 21 1.2× 7 0.5× 7 140
Simon Kang’a 52 0.9× 34 1.4× 16 0.8× 7 0.4× 9 0.6× 8 223
Rianne C. Prins 60 1.0× 14 0.6× 6 0.3× 18 1.1× 20 1.4× 9 109
Andrew Day 70 1.2× 34 1.4× 59 2.8× 12 0.7× 11 0.8× 10 173
Morgan M. Severn 82 1.4× 61 2.5× 9 0.4× 19 1.1× 26 1.9× 6 217
Anna Yssel 80 1.4× 27 1.1× 18 0.9× 15 0.9× 5 0.4× 8 165
Jia-Wei Tang 65 1.1× 15 0.6× 8 0.4× 8 0.5× 7 0.5× 8 236
Cesar Montelongo Hernandez 33 0.6× 32 1.3× 28 1.3× 8 0.5× 8 0.6× 7 107

Countries citing papers authored by Fábio Malcher Miranda

Since Specialization
Citations

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

Fields of papers citing papers by Fábio Malcher Miranda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fábio Malcher Miranda. 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 Fábio Malcher Miranda. The network helps show where Fábio Malcher Miranda may publish in the future.

Co-authorship network of co-authors of Fábio Malcher Miranda

This figure shows the co-authorship network connecting the top 25 collaborators of Fábio Malcher Miranda. A scholar is included among the top collaborators of Fábio Malcher Miranda 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 Fábio Malcher Miranda. Fábio Malcher Miranda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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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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