Inês Ribeiro‐Vaz

1.2k total citations
55 papers, 746 citations indexed

About

Inês Ribeiro‐Vaz is a scholar working on Toxicology, Pediatrics, Perinatology and Child Health and Pharmacology. According to data from OpenAlex, Inês Ribeiro‐Vaz has authored 55 papers receiving a total of 746 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Toxicology, 12 papers in Pediatrics, Perinatology and Child Health and 11 papers in Pharmacology. Recurrent topics in Inês Ribeiro‐Vaz's work include Pharmacovigilance and Adverse Drug Reactions (28 papers), Pharmaceutical studies and practices (12 papers) and Pharmaceutical Practices and Patient Outcomes (11 papers). Inês Ribeiro‐Vaz is often cited by papers focused on Pharmacovigilance and Adverse Drug Reactions (28 papers), Pharmaceutical studies and practices (12 papers) and Pharmaceutical Practices and Patient Outcomes (11 papers). Inês Ribeiro‐Vaz collaborates with scholars based in Portugal, United States and Brazil. Inês Ribeiro‐Vaz's co-authors include Jorge Polónia, María Teresa Herdeiro, Ricardo Cruz‐Correia, Altamiro Costa‐Pereira, Cristina Santos, Adolfo Figueiras, Eva Gómes, Andréia Teixeira, Matilde Monteiro‐Soares and Pascal Demoly and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Scientific Reports.

In The Last Decade

Inês Ribeiro‐Vaz

46 papers receiving 726 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Inês Ribeiro‐Vaz Portugal 14 289 154 154 147 147 55 746
Madhan Ramesh India 17 296 1.0× 37 0.2× 39 0.3× 84 0.6× 234 1.6× 103 954
Olivia Leoni Italy 16 133 0.5× 35 0.2× 42 0.3× 103 0.7× 82 0.6× 82 753
Yasser Alatawi Saudi Arabia 12 85 0.3× 59 0.4× 96 0.6× 38 0.3× 47 0.3× 45 526
Chris Delcher United States 18 201 0.7× 147 1.0× 65 0.4× 189 1.3× 270 1.8× 91 1.4k
Anders Carlsten Sweden 19 104 0.4× 97 0.6× 152 1.0× 59 0.4× 221 1.5× 30 922
Niels Damsbo Denmark 15 329 1.1× 103 0.7× 53 0.3× 107 0.7× 333 2.3× 25 956
Emma Davies United Kingdom 13 440 1.5× 59 0.4× 22 0.1× 113 0.8× 342 2.3× 22 1.1k
Monira Alwhaibi Saudi Arabia 17 61 0.2× 130 0.8× 54 0.4× 42 0.3× 85 0.6× 70 836
Muaed Jamal Alomar United Arab Emirates 9 225 0.8× 28 0.2× 17 0.1× 94 0.6× 113 0.8× 38 653
Sieta T. de Vries Netherlands 13 207 0.7× 68 0.4× 12 0.1× 83 0.6× 144 1.0× 45 672

Countries citing papers authored by Inês Ribeiro‐Vaz

Since Specialization
Citations

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

Fields of papers citing papers by Inês Ribeiro‐Vaz

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Inês Ribeiro‐Vaz

This figure shows the co-authorship network connecting the top 25 collaborators of Inês Ribeiro‐Vaz. A scholar is included among the top collaborators of Inês Ribeiro‐Vaz 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 Inês Ribeiro‐Vaz. Inês Ribeiro‐Vaz 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.
Cruz‐Correia, Ricardo, et al.. (2025). Beyond black boxes: using explainable causal artificial intelligence to separate signal from noise in pharmacovigilance. International Journal of Clinical Pharmacy. 48(2). 677–681.
2.
3.
Lobo, Mariana, Jorge Polónia, Lourdes Gouveia, et al.. (2025). Post-marketing surveillance of upadacitinib: multilevel analysis of venous thromboembolism reporting in global data and rheumatoid arthritis. Frontiers in Medicine. 12. 1683751–1683751.
4.
5.
Maranhão, Priscila A., et al.. (2024). Assessing medication use patterns by clinical outcomes severity among inpatients with COVID-19: A retrospective drug utilization study. Biomedicine & Pharmacotherapy. 172. 116242–116242.
6.
7.
Ribeiro‐Vaz, Inês, et al.. (2024). MedGAN: optimized generative adversarial network with graph convolutional networks for novel molecule design. Scientific Reports. 14(1). 1212–1212. 28 indexed citations
8.
Pacheco, Teresa, et al.. (2024). Unveiling the future: precision pharmacovigilance in the era of personalized medicine. International Journal of Clinical Pharmacy. 46(3). 755–760. 10 indexed citations
9.
Silva, Marcus Tolentino, et al.. (2023). Prevalence of antidepressant use in Brazil: a systematic review with meta-analysis. Brazilian Journal of Psychiatry. 46. e20233095–e20233095. 3 indexed citations
10.
Herdeiro, María Teresa, et al.. (2022). Adverse Drug Reactions and Potentially Inappropriate Medication in Older Patients: Analysis of the Portuguese Pharmacovigilance Database. Journal of Clinical Medicine. 11(8). 2229–2229. 9 indexed citations
11.
Galvão, Taís Freire, et al.. (2022). Trends in Brazilian market of antidepressants: A five-year dataset analysis. Frontiers in Pharmacology. 13. 893891–893891. 8 indexed citations
12.
Monteiro, Luís, Matilde Monteiro‐Soares, Liliane Mendonça, et al.. (2021). Translation and adaptation of the STOPP-START screening tool to Portuguese for detecting inappropriate prescriptions in older people: a protocol. BMJ Open. 11(6). e043746–e043746. 1 indexed citations
13.
14.
Ribeiro‐Vaz, Inês, et al.. (2021). O Papel da Farmacovigilância em Contexto da Pandemia por COVID-19. Acta Médica Portuguesa. 34(3). 173–175. 3 indexed citations
15.
Monteiro, Luís, et al.. (2019). Reducing Potentially Inappropriate Prescriptions for Older Patients Using Computerized Decision Support Tools: Systematic Review. Journal of Medical Internet Research. 21(11). e15385–e15385. 53 indexed citations
16.
Costa, María José, María Teresa Herdeiro, Jorge Polónia, et al.. (2018). Type B adverse drug reactions reported by an immunoallergology department. Pharmacy Practice. 16(1). 1070–1070. 3 indexed citations
17.
Ribeiro‐Vaz, Inês, et al.. (2016). How to promote adverse drug reaction reports using information systems – a systematic review and meta-analysis. BMC Medical Informatics and Decision Making. 16(1). 27–27. 52 indexed citations
18.
Herdeiro, María Teresa, Mónica Ferreira, Inês Ribeiro‐Vaz, Jorge Polónia, & Altamiro Costa‐Pereira. (2013). [The Portuguese Pharmacovigilance System].. PubMed. 25(4). 241–9. 13 indexed citations
19.
Ribeiro‐Vaz, Inês, Cristina Santos, Altamiro Costa‐Pereira, & Ricardo Cruz‐Correia. (2012). Promoting Spontaneous Adverse Drug Reaction Reporting in Hospitals Using a Hyperlink to the Online Reporting Form. Drug Safety. 35(5). 387–394. 33 indexed citations
20.
Ribeiro‐Vaz, Inês, María Teresa Herdeiro, Jorge Polónia, & Adolfo Figueiras. (2011). Estratégias para aumentar a sensibilidade da farmacovigilância em Portugal. LA Referencia (Red Federada de Repositorios Institucionales de Publicaciones Científicas). 29 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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Madhan Ramesh Breakdown of academic impact, for papers by Olivia Leoni Breakdown of academic impact, for papers by Yasser Alatawi Breakdown of academic impact, for papers by Chris Delcher Breakdown of academic impact, for papers by Anders Carlsten Breakdown of academic impact, for papers by Niels Damsbo Breakdown of academic impact, for papers by Emma Davies Breakdown of academic impact, for papers by Monira Alwhaibi Breakdown of academic impact, for papers by Muaed Jamal Alomar Breakdown of academic impact, for papers by Sieta T. de Vries
Rankless by CCL
2026