Andreia S. Azevedo

890 total citations
33 papers, 671 citations indexed

About

Andreia S. Azevedo is a scholar working on Molecular Biology, Biomedical Engineering and Ecology. According to data from OpenAlex, Andreia S. Azevedo has authored 33 papers receiving a total of 671 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 10 papers in Biomedical Engineering and 8 papers in Ecology. Recurrent topics in Andreia S. Azevedo's work include Antibiotic Resistance in Bacteria (7 papers), Biosensors and Analytical Detection (7 papers) and Bacterial biofilms and quorum sensing (6 papers). Andreia S. Azevedo is often cited by papers focused on Antibiotic Resistance in Bacteria (7 papers), Biosensors and Analytical Detection (7 papers) and Bacterial biofilms and quorum sensing (6 papers). Andreia S. Azevedo collaborates with scholars based in Portugal, Denmark and United States. Andreia S. Azevedo's co-authors include Nuno F. Azevedo, Carina Almeida, L. F. Melo, P. González, Miriam López‐Álvarez, J. Serra, Rui Medeiros, Ana Luísa Teixeira, Francisco S. N. Lobo and António Morais and has published in prestigious journals such as PLoS ONE, International Journal of Molecular Sciences and Frontiers in Microbiology.

In The Last Decade

Andreia S. Azevedo

29 papers receiving 664 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Andreia S. Azevedo Portugal 15 257 176 101 100 79 33 671
Tiwei Fu China 17 301 1.2× 235 1.3× 68 0.7× 27 0.3× 39 0.5× 32 671
Yoshiaki Hasegawa Japan 24 531 2.1× 50 0.3× 144 1.4× 94 0.9× 82 1.0× 63 1.6k
Troy Skwor United States 15 85 0.3× 127 0.7× 78 0.8× 133 1.3× 35 0.4× 24 586
Jae-Ik Lee South Korea 16 113 0.4× 97 0.6× 46 0.5× 183 1.8× 157 2.0× 65 747
T. Noguchi Japan 26 453 1.8× 147 0.8× 63 0.6× 118 1.2× 142 1.8× 40 1.8k
Mohan Kumar India 19 225 0.9× 84 0.5× 121 1.2× 161 1.6× 196 2.5× 101 1.0k
Sheng Zhou China 14 289 1.1× 217 1.2× 35 0.3× 55 0.6× 49 0.6× 36 780
Yiyang Chen China 18 356 1.4× 67 0.4× 108 1.1× 42 0.4× 99 1.3× 92 978
Yunjiao He China 15 271 1.1× 128 0.7× 131 1.3× 24 0.2× 46 0.6× 36 1000

Countries citing papers authored by Andreia S. Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Andreia S. Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andreia S. Azevedo. 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 Andreia S. Azevedo. The network helps show where Andreia S. Azevedo may publish in the future.

Co-authorship network of co-authors of Andreia S. Azevedo

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

All Works

20 of 20 papers shown
1.
Azevedo, Andreia S., Dita Gudrā, Dāvids Frīdmanis, et al.. (2025). Biofilm formation on the polyethylene terephthalate plastic surface weathered under laboratory and real landfill conditions. Journal of Hazardous Materials Advances. 18. 100649–100649. 1 indexed citations
2.
3.
Sahoo, Alaka, Shasank S. Swain, Payal Gupta, et al.. (2025). In Silico and In Vitro Potential Antifungal Insights of Insect-Derived Peptides in the Management of Candida sp. Infections. International Journal of Molecular Sciences. 26(15). 7449–7449.
4.
5.
Azevedo, Andreia S., Óscar F. Silvestre, Jana B. Nieder, et al.. (2022). Spectral imaging and nucleic acid mimics fluorescence in situ hybridization (SI-NAM-FISH) for multiplex detection of clinical pathogens. Frontiers in Microbiology. 13. 976639–976639. 10 indexed citations
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Sousa, Ana Luísa, et al.. (2021). Bioinformatic Tools and Guidelines for the Design of Fluorescence In Situ Hybridization Probes. Methods in molecular biology. 2246. 35–50. 12 indexed citations
8.
Oliveira, Ricardo, et al.. (2021). Application of Nucleic Acid Mimics in Fluorescence In Situ Hybridization. Methods in molecular biology. 2246. 69–86. 7 indexed citations
9.
Azevedo, Andreia S., et al.. (2021). Flow-FISH Using Nucleic Acid Mimic Probes for the Detection of Bacteria. Methods in molecular biology. 2246. 263–277. 3 indexed citations
10.
Azevedo, Andreia S., João Santos Baptista, Carina Almeida, et al.. (2020). Increased Intraspecies Diversity in Escherichia coli Biofilms Promotes Cellular Growth at the Expense of Matrix Production. Antibiotics. 9(11). 818–818. 9 indexed citations
11.
Azevedo, Andreia S., et al.. (2019). Optimizing locked nucleic acid/2’-O-methyl-RNA fluorescence in situ hybridization (LNA/2’OMe-FISH) procedure for bacterial detection. PLoS ONE. 14(5). e0217689–e0217689. 18 indexed citations
12.
Azevedo, Andreia S., et al.. (2016). Novel strategy to detect and locate periodontal pathogens: The PNA-FISH technique. Microbiological Research. 192. 185–191. 18 indexed citations
13.
Azevedo, Andreia S., Carina Almeida, Luciana C. Gomes, et al.. (2016). An in vitro model of catheter-associated urinary tract infections to investigate the role of uncommon bacteria on the Escherichia coli microbial consortium. Biochemical Engineering Journal. 118. 64–69. 15 indexed citations
14.
Gomes, Mónica, Ana Coelho, António Araújo, et al.. (2015). IL-6 polymorphism in non-small cell lung cancer: a prognostic value?. Tumor Biology. 36(5). 3679–3684. 28 indexed citations
15.
Azevedo, Andreia S., Carina Almeida, L. F. Melo, & Nuno F. Azevedo. (2014). Interaction between atypical microorganisms andE. coliin catheter-associated urinary tract biofilms. Biofouling. 30(8). 893–902. 26 indexed citations
16.
Lourenço, Anália, Tom Coenye, Darla M. Goeres, et al.. (2014). Minimum information about a biofilm experiment (MIABiE): standards for reporting experiments and data on sessile microbial communities living at interfaces. Pathogens and Disease. 70(3). 250–256. 41 indexed citations
17.
Teixeira, Ana Luísa, Augusto Nogueira, Andreia S. Azevedo, et al.. (2013). Correction: Improvement of a Predictive Model of Castration-Resistant Prostate Cancer: Functional Genetic Variants in TGFβ1 Signaling Pathway Modulation. PLoS ONE. 8(8). 2 indexed citations
18.
Teixeira, Ana Luísa, Mónica Gomes, Augusto Nogueira, et al.. (2013). Improvement of a Predictive Model of Castration-Resistant Prostate Cancer: Functional Genetic Variants in TGFβ1 Signaling Pathway Modulation. PLoS ONE. 8(8). e72419–e72419. 22 indexed citations
19.
Ribeiro, Ricardo, Cátia Monteiro, Andreia S. Azevedo, et al.. (2012). Performance of an Adipokine Pathway-Based Multilocus Genetic Risk Score for Prostate Cancer Risk Prediction. PLoS ONE. 7(6). e39236–e39236. 10 indexed citations
20.
Ribeiro, Ricardo, Cátia Monteiro, Virgínia Cunha, et al.. (2012). Tumor Cell-educated Periprostatic Adipose Tissue Acquires an Aggressive Cancer-promoting Secretory Profile. Cellular Physiology and Biochemistry. 29(1-2). 233–240. 64 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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