Laura Cerqueira

54 total papers · 1.2k total citations
29 papers, 900 citations indexed

About

Laura Cerqueira is a scholar working on Biomedical Engineering, Molecular Biology and Infectious Diseases. According to data from OpenAlex, Laura Cerqueira has authored 29 papers receiving a total of 900 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Biomedical Engineering, 11 papers in Molecular Biology and 9 papers in Infectious Diseases. Recurrent topics in Laura Cerqueira's work include Biosensors and Analytical Detection (13 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Laura Cerqueira is often cited by papers focused on Biosensors and Analytical Detection (13 papers), Advanced biosensing and bioanalysis techniques (6 papers) and Salmonella and Campylobacter epidemiology (5 papers). Laura Cerqueira collaborates with scholars based in Portugal, United Kingdom and United States. Laura Cerqueira's co-authors include Nuno F. Azevedo, M. J. Vieira, Carina Almeida, Céu Figueiredo, C. W. Keevil, Carla Oliveíra, Adelaide Almeida, Ana Nicolau, Isabel Fernandes and Fátima Carneiro and has published in prestigious journals such as Applied and Environmental Microbiology, International Journal of Molecular Sciences and Journal of Clinical Microbiology.

In The Last Decade

Laura Cerqueira

28 papers receiving 882 citations

Author Peers

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

Author Last Decade Papers Cites
Laura Cerqueira 460 224 173 152 130 29 900
Robert D. Schrock 545 1.2× 60 0.3× 121 0.7× 51 0.3× 99 0.8× 16 1.0k
Toni A. Nagy 346 0.8× 62 0.3× 449 2.6× 47 0.3× 61 0.5× 24 1.0k
Sadayori Hoshina 312 0.7× 149 0.7× 104 0.6× 43 0.3× 42 0.3× 33 729
Arfa Moshiri 593 1.3× 50 0.2× 56 0.3× 87 0.6× 53 0.4× 50 916
Jung‐Min Kim 443 1.0× 42 0.2× 98 0.6× 52 0.3× 47 0.4× 41 857
Manickam Ravichandran 346 0.8× 141 0.6× 57 0.3× 28 0.2× 112 0.9× 48 756
Norma Velázquez‐Guadarrama 318 0.7× 46 0.2× 121 0.7× 39 0.3× 41 0.3× 45 811
Elodie Sifré 305 0.7× 37 0.2× 253 1.5× 81 0.5× 32 0.2× 33 926
Tonya C. Bates 264 0.6× 41 0.2× 79 0.5× 60 0.4× 52 0.4× 17 980
Alejandra Bernardini 443 1.0× 44 0.2× 81 0.5× 44 0.3× 101 0.8× 22 1.0k

Countries citing papers authored by Laura Cerqueira

Since Specialization
Citations

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

Fields of papers citing papers by Laura Cerqueira

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Laura Cerqueira

This figure shows the co-authorship network connecting the top 25 collaborators of Laura Cerqueira. A scholar is included among the top collaborators of Laura Cerqueira 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 Laura Cerqueira. Laura Cerqueira 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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