Rita Azevedo

1.5k total citations
38 papers, 1.0k citations indexed

About

Rita Azevedo is a scholar working on Molecular Biology, Public Health, Environmental and Occupational Health and Genetics. According to data from OpenAlex, Rita Azevedo has authored 38 papers receiving a total of 1.0k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 8 papers in Public Health, Environmental and Occupational Health and 7 papers in Genetics. Recurrent topics in Rita Azevedo's work include Glycosylation and Glycoproteins Research (15 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). Rita Azevedo is often cited by papers focused on Glycosylation and Glycoproteins Research (15 papers), Chronic Lymphocytic Leukemia Research (7 papers) and Acute Lymphoblastic Leukemia research (7 papers). Rita Azevedo collaborates with scholars based in Portugal, United Kingdom and France. Rita Azevedo's co-authors include José Alexandre Ferreira, Lúcio Lara Santos, Andreia Peixoto, Áurea Lima, Marta Relvas‐Santos, Rui Medeiros, Vítor Seabra, Hugo Sousa, Miguel Bernardes and Joaquim Monteiro and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Rita Azevedo

35 papers receiving 1.0k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Rita Azevedo Portugal 21 529 240 210 178 144 38 1.0k
Ana M. Ortiz Spain 19 347 0.7× 277 1.2× 459 2.2× 168 0.9× 25 0.2× 50 1.0k
Claire Rooney United Kingdom 19 1.1k 2.1× 221 0.9× 72 0.3× 420 2.4× 86 0.6× 37 1.8k
Gregor Eisenwort Austria 20 303 0.6× 346 1.4× 171 0.8× 246 1.4× 47 0.3× 54 1.0k
Daniel Kraft United States 13 596 1.1× 475 2.0× 79 0.4× 201 1.1× 36 0.3× 30 1.7k
Dan Combs United States 8 335 0.6× 193 0.8× 67 0.3× 233 1.3× 39 0.3× 10 1.2k
Diana Romero United States 19 563 1.1× 146 0.6× 41 0.2× 394 2.2× 36 0.3× 176 1.2k
Hiroshi Moritake Japan 17 301 0.6× 99 0.4× 32 0.2× 181 1.0× 148 1.0× 80 874
Simon Bomken United Kingdom 13 376 0.7× 146 0.6× 42 0.2× 366 2.1× 202 1.4× 32 964
Susan O’Brien United States 21 489 0.9× 205 0.9× 113 0.5× 236 1.3× 210 1.5× 56 1.3k
Rami Kotb Canada 18 523 1.0× 229 1.0× 71 0.3× 475 2.7× 28 0.2× 85 1.4k

Countries citing papers authored by Rita Azevedo

Since Specialization
Citations

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

Fields of papers citing papers by Rita Azevedo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rita Azevedo

This figure shows the co-authorship network connecting the top 25 collaborators of Rita Azevedo. A scholar is included among the top collaborators of Rita 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 Rita Azevedo. Rita 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.
Romandini, Mario, et al.. (2025). Incidence and Risk Factors of Peri‐Implantitis Over Time—A Prospective Cohort Study. Journal of Periodontal Research. 60(12). 1222–1236. 8 indexed citations
2.
Bhadane, Rajendra, Rita Azevedo, Morteza Malakoutikhah, et al.. (2024). ADP-ribosyltransferase-based biocatalysis of nonhydrolyzable NAD+ analogs. Journal of Biological Chemistry. 301(1). 108106–108106.
3.
Ferreira, Dylan, Marta Relvas‐Santos, Janine Soares, et al.. (2024). Aberrantly Glycosylated GLUT1 as a Poor Prognosis Marker in Aggressive Bladder Cancer. International Journal of Molecular Sciences. 25(6). 3462–3462. 1 indexed citations
4.
5.
Gaiteiro, Cristiana, Janine Soares, Marta Relvas‐Santos, et al.. (2022). Glycoproteogenomics characterizes the CD44 splicing code associated with bladder cancer invasion. Theranostics. 12(7). 3150–3177. 29 indexed citations
6.
Almeida, Ana C., et al.. (2021). Retrospective comparison between growth and retinopathy of prematurity model versus WINROP model. Canadian Journal of Ophthalmology. 57(1). 58–64. 9 indexed citations
7.
Cotton, Sofia, Dylan Ferreira, Janine Soares, et al.. (2021). Target Score—A Proteomics Data Selection Tool Applied to Esophageal Cancer Identifies GLUT1-Sialyl Tn Glycoforms as Biomarkers of Cancer Aggressiveness. International Journal of Molecular Sciences. 22(4). 1664–1664. 14 indexed citations
8.
Peixoto, Andreia, Dylan Ferreira, Rita Azevedo, et al.. (2021). Glycoproteomics identifies HOMER3 as a potentially targetable biomarker triggered by hypoxia and glucose deprivation in bladder cancer. Journal of Experimental & Clinical Cancer Research. 40(1). 191–191. 25 indexed citations
9.
Peixoto, Andreia, Marta Relvas‐Santos, Rita Azevedo, Lúcio Lara Santos, & José Alexandre Ferreira. (2019). Protein Glycosylation and Tumor Microenvironment Alterations Driving Cancer Hallmarks. Frontiers in Oncology. 9. 380–380. 232 indexed citations
10.
Carrascal, Mylène A., José Alexandre Ferreira, Rita Azevedo, et al.. (2018). A functional glycoproteomics approach identifies CD13 as a novel E-selectin ligand in breast cancer. Biochimica et Biophysica Acta (BBA) - General Subjects. 1862(9). 2069–2080. 25 indexed citations
11.
Azevedo, Rita, Cristiana Gaiteiro, Andreia Peixoto, et al.. (2018). CD44 glycoprotein in cancer: a molecular conundrum hampering clinical applications. Clinical Proteomics. 15(1). 22–22. 40 indexed citations
12.
Azevedo, Rita, Janine Soares, Cristiana Gaiteiro, et al.. (2018). Glycan affinity magnetic nanoplatforms for urinary glycobiomarkers discovery in bladder cancer. Talanta. 184. 347–355. 26 indexed citations
13.
Azevedo, Rita, André M. N. Silva, Celso A. Reis, Lúcio Lara Santos, & José Alexandre Ferreira. (2017). In silico approaches for unveiling novel glycobiomarkers in cancer. Journal of Proteomics. 171. 95–106. 13 indexed citations
14.
Lima, Luís, Manuel Neves, Marta I. Oliveira, et al.. (2017). Sialyl-Tn identifies muscle-invasive bladder cancer basal and luminal subtypes facing decreased survival, being expressed by circulating tumor cells and metastases. Urologic Oncology Seminars and Original Investigations. 35(12). 675.e1–675.e8. 36 indexed citations
15.
Azevedo, Rita, Miguel Bernardes, João Fonseca, & Áurea Lima. (2015). Smartphone application for rheumatoid arthritis self-management: cross-sectional study revealed the usefulness, willingness to use and patients’ needs. Rheumatology International. 35(10). 1675–1685. 31 indexed citations
16.
Lima, Áurea, Miguel Bernardes, Rita Azevedo, Rui Medeiros, & Vítor Seabra. (2015). Pharmacogenomics of Methotrexate Membrane Transport Pathway: Can Clinical Response to Methotrexate in Rheumatoid Arthritis Be Predicted?. International Journal of Molecular Sciences. 16(6). 13760–13780. 30 indexed citations
17.
Azevedo, Rita, Hugo Sousa, Joaquim Monteiro, & Áurea Lima. (2014). Future perspectives of Smartphone applications for rheumatic diseases self-management. Rheumatology International. 35(3). 419–431. 45 indexed citations
18.
Lima, Áurea, Miguel Bernardes, Rita Azevedo, et al.. (2014). SLC19A1, SLC46A1 and SLCO1B1 Polymorphisms as Predictors of Methotrexate-Related Toxicity in Portuguese Rheumatoid Arthritis Patients. Toxicological Sciences. 142(1). 196–209. 52 indexed citations
19.
Lima, Áurea, Hugo Sousa, Joaquim Monteiro, et al.. (2014). Genetic Polymorphisms in Low-Dose Methotrexate Transporters: Current Relevance as Methotrexate Therapeutic Outcome Biomarkers. Pharmacogenomics. 15(12). 1611–1635. 18 indexed citations
20.
Lima, Áurea, Miguel Bernardes, Hugo Sousa, et al.. (2013). SLC19A1 80G Allele as a Biomarker of Methotrexate-Related Gastrointestinal Toxicity in Portuguese Rheumatoid Arthritis Patients. Pharmacogenomics. 15(6). 807–820. 34 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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