Bruno Ribeiro-Gonçalves

536 total citations
7 papers, 249 citations indexed

About

Bruno Ribeiro-Gonçalves is a scholar working on Clinical Biochemistry, Molecular Biology and Epidemiology. According to data from OpenAlex, Bruno Ribeiro-Gonçalves has authored 7 papers receiving a total of 249 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Clinical Biochemistry, 4 papers in Molecular Biology and 2 papers in Epidemiology. Recurrent topics in Bruno Ribeiro-Gonçalves's work include Bacterial Identification and Susceptibility Testing (5 papers), Genomics and Phylogenetic Studies (4 papers) and Mycobacterium research and diagnosis (2 papers). Bruno Ribeiro-Gonçalves is often cited by papers focused on Bacterial Identification and Susceptibility Testing (5 papers), Genomics and Phylogenetic Studies (4 papers) and Mycobacterium research and diagnosis (2 papers). Bruno Ribeiro-Gonçalves collaborates with scholars based in Portugal, Paraguay and United Kingdom. Bruno Ribeiro-Gonçalves's co-authors include João André Carriço, Mário Ramirez, Alexandre P. Francisco, Cátia Vaz, Diogo Nuno Silva, Valeria Bortolaia, Eduardo P. C. Rocha, Alain Charbit, Anne Jamet and Marie Touchon and has published in prestigious journals such as Nucleic Acids Research, Scientific Reports and BMC Biology.

In The Last Decade

Bruno Ribeiro-Gonçalves

7 papers receiving 248 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Bruno Ribeiro-Gonçalves Portugal 7 101 85 57 56 52 7 249
Jun Kurushima Japan 13 111 1.1× 53 0.6× 47 0.8× 83 1.5× 72 1.4× 22 327
Katharina Juraschek Germany 7 98 1.0× 109 1.3× 55 1.0× 42 0.8× 53 1.0× 10 277
Pierre-Emmanuel Douarre France 11 111 1.1× 60 0.7× 44 0.8× 67 1.2× 35 0.7× 17 301
Taylor Griswold United States 9 133 1.3× 70 0.8× 68 1.2× 53 0.9× 84 1.6× 14 347
Ricardo Monteiro Portugal 12 107 1.1× 127 1.5× 42 0.7× 76 1.4× 80 1.5× 18 321
Liansheng Yu Japan 12 118 1.2× 145 1.7× 36 0.6× 63 1.1× 88 1.7× 33 317
Pauline Basso France 11 226 2.2× 109 1.3× 45 0.8× 71 1.3× 92 1.8× 12 342
Bingzhou Zhang China 10 99 1.0× 41 0.5× 35 0.6× 117 2.1× 29 0.6× 17 350
Emma L. Doughty United Kingdom 11 115 1.1× 148 1.7× 40 0.7× 114 2.0× 73 1.4× 14 336
Angelina A. Kislichkina Russia 10 155 1.5× 170 2.0× 120 2.1× 36 0.6× 73 1.4× 49 355

Countries citing papers authored by Bruno Ribeiro-Gonçalves

Since Specialization
Citations

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

Fields of papers citing papers by Bruno Ribeiro-Gonçalves

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Bruno Ribeiro-Gonçalves. 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 Bruno Ribeiro-Gonçalves. The network helps show where Bruno Ribeiro-Gonçalves may publish in the future.

Co-authorship network of co-authors of Bruno Ribeiro-Gonçalves

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

All Works

7 of 7 papers shown
1.
Xavier, Basil Britto, Mohamed Mysara, Mattia Bolzan, et al.. (2019). BacPipe: A Rapid, User-Friendly Whole-Genome Sequencing Pipeline for Clinical Diagnostic Bacteriology. iScience. 23(1). 100769–100769. 26 indexed citations
2.
Carriço, João André, Maxime Crochemore, Alexandre P. Francisco, et al.. (2018). Fast phylogenetic inference from typing data. Algorithms for Molecular Biology. 13(1). 4–4. 10 indexed citations
3.
Ribeiro-Gonçalves, Bruno, et al.. (2018). Plasmid ATLAS: plasmid visual analytics and identification in high-throughput sequencing data. Nucleic Acids Research. 47(D1). D188–D194. 31 indexed citations
4.
Jamet, Anne, Marie Touchon, Bruno Ribeiro-Gonçalves, et al.. (2017). A widespread family of polymorphic toxins encoded by temperate phages. BMC Biology. 15(1). 75–75. 31 indexed citations
5.
Machado, Miguel P., Bruno Ribeiro-Gonçalves, Mickael Silva, Mário Ramirez, & João André Carriço. (2016). Epidemiological Surveillance and Typing Methods to Track Antibiotic Resistant Strains Using High Throughput Sequencing. Methods in molecular biology. 1520. 331–356. 8 indexed citations
6.
Pinho, Marcos D., Erdal Erol, Bruno Ribeiro-Gonçalves, et al.. (2016). Beta-hemolytic Streptococcus dysgalactiae strains isolated from horses are a genetically distinct population within the Streptococcus dysgalactiae taxon. Scientific Reports. 6(1). 31736–31736. 17 indexed citations
7.
Ribeiro-Gonçalves, Bruno, Alexandre P. Francisco, Cátia Vaz, Mário Ramirez, & João André Carriço. (2016). PHYLOViZ Online: web-based tool for visualization, phylogenetic inference, analysis and sharing of minimum spanning trees. Nucleic Acids Research. 44(W1). W246–W251. 126 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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