Olivia Monteiro
Impact in
- Health Informatics top 10%
- Artificial Intelligence in Healthcare and Education
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- Tryptophan and brain disorders
Papers in
-
- COVID-19 Clinical Research Studies 3
- SARS-CoV-2 detection and testing 2
- Co-authors
- Daniel T. Baptista‐Hon (11 shared papers)Jeremy J. Lambert (3 shared papers)Yongqin Ye (2 shared papers)Bo Liu (1 shared paper)István Gacsályi (1 shared paper)Kang Zhang (3 shared papers)Shuwei Zhang (1 shared paper)Michael Spedding (1 shared paper)
- Journals
- Scientific Reports (2 papers)Pediatric Surgery International (1 paper)Neuropharmacology (1 paper)Journal of Advanced Research (1 paper)Science Bulletin (1 paper)
- Partner nations
- MacaoUnited KingdomChina
In The Last Decade
Olivia Monteiro
19 papers receiving 135 citations
Peers
Comparison fields: 5 of 70
- Health Informatics 14
- Biological Psychiatry 9
- Neurology 16
- Cellular and Molecular Neuroscience 34
- Critical Care and Intensive Care Medicine 8
Countries citing papers authored by Olivia Monteiro
This map shows the geographic impact of Olivia Monteiro'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 Olivia Monteiro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Olivia Monteiro more than expected).
Fields of papers citing papers by Olivia Monteiro
This network shows the impact of papers produced by Olivia Monteiro. 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 Olivia Monteiro. The network helps show where Olivia Monteiro may publish in the future.
Co-authors
The 25 scholars most cited alongside Olivia Monteiro, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 42 | |
| 2 | 2024 | 15 | |
| 3 | 2024 | 14 | |
| 4 | 2024 | 12 | |
| 5 | 2024 | 9 | |
| 6 | 2018 | 8 | |
| 7 | 2024 | 8 | |
| 8 | 2024 | 7 | |
| 9 | 2023 | 4 | |
| 10 | 2022 | 4 | |
| 11 | 2022 | 3 | |
| 12 | 2021 | 2 | |
| 13 | 2023 | 2 | |
| 14 | 2010 | 2 | |
| 15 | 2021 | 2 | |
| 16 | 2024 | 1 | |
| 17 | 2024 | 1 | |
| 18 | 2022 | 1 | |
| 19 | 2022 | 1 | |
| 20 | 2025 | 0 |
About Olivia Monteiro
Olivia Monteiro is a scholar working on Molecular Biology, Infectious Diseases, Cellular and Molecular Neuroscience, Neurology and Health Informatics, having authored 22 papers that have together received 138 indexed citations. Recurring topics across this work include Long-Term Effects of COVID-19 (3 papers), Artificial Intelligence in Healthcare and Education (3 papers), COVID-19 Clinical Research Studies (3 papers), Poxvirus research and outbreaks (2 papers), SARS-CoV-2 detection and testing (2 papers), Genetic Neurodegenerative Diseases (2 papers), Neuroendocrine regulation and behavior (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Health Informatics (14 citations), Biological Psychiatry (9 citations), Neurology (16 citations), Cellular and Molecular Neuroscience (34 citations) and Critical Care and Intensive Care Medicine (8 citations). Olivia Monteiro has collaborated with scholars based in Macao, United Kingdom and China. Frequent co-authors include Daniel T. Baptista‐Hon, Jeremy J. Lambert, Yongqin Ye, Bo Liu, István Gacsályi, Kang Zhang, Shuwei Zhang, Michael Spedding, Balázs Mihalik and Shu Wang. Their work appears in journals such as Scientific Reports, Pediatric Surgery International, Neuropharmacology, Journal of Advanced Research and Science Bulletin.
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.