Bianca Ribeiro

416 total citations
10 papers, 282 citations indexed

About

Bianca Ribeiro is a scholar working on Molecular Biology, Plant Science and Ecology, Evolution, Behavior and Systematics. According to data from OpenAlex, Bianca Ribeiro has authored 10 papers receiving a total of 282 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Plant Science and 2 papers in Ecology, Evolution, Behavior and Systematics. Recurrent topics in Bianca Ribeiro's work include Fungal Plant Pathogen Control (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Bianca Ribeiro is often cited by papers focused on Fungal Plant Pathogen Control (2 papers), Toxin Mechanisms and Immunotoxins (2 papers) and Plant-Microbe Interactions and Immunity (2 papers). Bianca Ribeiro collaborates with scholars based in Belgium, Brazil and Argentina. Bianca Ribeiro's co-authors include Paulo H. O. Ceciliato, Daniel S. Moura, Márcio C. Silva-Filho, Tábata Bergonci, Juan Carlos Guerrero‐Abad, Antônio Augusto Franco Garcia, Amanda Morato do Canto, Fausto Andres Ortiz‐Morea, Alain Goossens and Jacob Pollier and has published in prestigious journals such as PLoS ONE, The Plant Cell and Journal of Experimental Botany.

In The Last Decade

Bianca Ribeiro

10 papers receiving 281 citations

Peers

Bianca Ribeiro
Comparison fields: 5 of 35
  • Plant Science 211
  • Molecular Biology 202
  • Ecology, Evolution, Behavior and Systematics 18
  • Cell Biology 15
  • Biochemistry 10
Replace Xiangfeng He with:
Xiangfeng He China
Xiaoyu Wei China
Kai‐Dong Xie China
Mrunmay Kumar Giri India
Xiliang Qi China
Saad Imran Malik Pakistan
Zhongxuan Feng China
Sunghwa Bahk South Korea
Yun Sun China
Tomokazu Tsutsui Japan
Xiangfeng He China View profile →
Citations per field, relative to Bianca Ribeiro
Bianca Ribeiro · 1×
Citations per year, relative to Bianca Ribeiro
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Countries citing papers authored by Bianca Ribeiro

Since Specialization
Citations

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

Fields of papers citing papers by Bianca Ribeiro

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Bianca Ribeiro

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

All Works

10 of 10 papers shown
# Work Indexed citations
1 4
2 14
3 13
4 8
5 3
6 36
7 6
8 30
9 93
10 75

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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