Kátia M.S. Cabral

10 total papers · 819 total citations
10 papers, 641 citations indexed

About

Kátia M.S. Cabral is a scholar working on Molecular Biology, Microbiology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Kátia M.S. Cabral has authored 10 papers receiving a total of 641 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 4 papers in Microbiology and 2 papers in Cellular and Molecular Neuroscience. Recurrent topics in Kátia M.S. Cabral's work include Antimicrobial Peptides and Activities (4 papers), Biochemical and Structural Characterization (4 papers) and RNA and protein synthesis mechanisms (2 papers). Kátia M.S. Cabral is often cited by papers focused on Antimicrobial Peptides and Activities (4 papers), Biochemical and Structural Characterization (4 papers) and RNA and protein synthesis mechanisms (2 papers). Kátia M.S. Cabral collaborates with scholars based in Brazil and United States. Kátia M.S. Cabral's co-authors include Marcius S. Almeida, Eleonora Kurtenbach, Fábio C. L. Almeida, Ana Paula Valente, Russolina B. Zingali, Brigitte Anliker, Michael J. McConnell, Jerold Chun, Dhruv Kaushal and Marcy A. Kingsbury and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Neuroscience and PLoS ONE.

In The Last Decade

Kátia M.S. Cabral

10 papers receiving 629 citations

Author Peers

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

Author Last Decade Papers Cites
Kátia M.S. Cabral 447 215 121 101 100 10 641
Jukka Häyrinen 351 0.8× 106 0.5× 59 0.5× 88 0.9× 99 1.0× 20 705
Bart Roucourt 491 1.1× 86 0.4× 65 0.5× 40 0.4× 90 0.9× 14 692
B M Laoide 396 0.9× 41 0.2× 196 1.6× 39 0.4× 34 0.3× 11 666
Donatella Ponti 413 0.9× 137 0.6× 28 0.2× 46 0.5× 15 0.1× 25 583
Lee Dolat 430 1.0× 60 0.3× 36 0.3× 24 0.2× 276 2.8× 16 678
Robert G. Brankamp 466 1.0× 16 0.1× 134 1.1× 77 0.8× 71 0.7× 11 661
D.L. Kauffman 369 0.8× 25 0.1× 37 0.3× 41 0.4× 78 0.8× 13 609
Dilani G. Gamage 590 1.3× 16 0.1× 69 0.6× 41 0.4× 98 1.0× 12 720
Narae Bae 377 0.8× 34 0.2× 166 1.4× 42 0.4× 24 0.2× 9 553
Hélène Hietter 397 0.9× 38 0.2× 86 0.7× 26 0.3× 23 0.2× 20 632

Countries citing papers authored by Kátia M.S. Cabral

Since Specialization
Citations

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

Fields of papers citing papers by Kátia M.S. Cabral

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kátia M.S. Cabral. 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 Kátia M.S. Cabral. The network helps show where Kátia M.S. Cabral may publish in the future.

Co-authorship network of co-authors of Kátia M.S. Cabral

This figure shows the co-authorship network connecting the top 25 collaborators of Kátia M.S. Cabral. A scholar is included among the top collaborators of Kátia M.S. Cabral 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 Kátia M.S. Cabral. Kátia M.S. Cabral 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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