Júnia Xavier Maia
- General Health Professions top 10%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Public Health, Environmental and Occupational Health
- Cardiology and Cardiovascular Medicine
- Co-authors
- Milena Soriano MarcolinoAntônio Luiz Pinho RibeiroMaria Beatriz Moreira AlkmimEric BoersmaClareci Silva CardosoChristiane Corrêa Rodrigues CiminiLeonardo Bonisson RibeiroJoão Antônio de Queiroz Oliveira
- Topics
- Blood Pressure and Hypertension Studies (3 papers)Artificial Intelligence in Healthcare (3 papers)Medication Adherence and Compliance (3 papers)
- Partner nations
- BrazilUnited KingdomNetherlands
In The Last Decade
Júnia Xavier Maia
10 papers receiving 207 citations
Peers
Comparison fields: 5 of 54
- General Health Professions 122
- Endocrinology, Diabetes and Metabolism 111
- Epidemiology 51
- Public Health, Environmental and Occupational Health 40
- Cardiology and Cardiovascular Medicine 31
Countries citing papers authored by Júnia Xavier Maia
This map shows the geographic impact of Júnia Xavier Maia'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 Júnia Xavier Maia with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Júnia Xavier Maia more than expected).
Fields of papers citing papers by Júnia Xavier Maia
This network shows the impact of papers produced by Júnia Xavier Maia. 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 Júnia Xavier Maia. The network helps show where Júnia Xavier Maia may publish in the future.
Co-authorship network of co-authors of Júnia Xavier Maia
This figure shows the co-authorship network connecting the top 25 collaborators of Júnia Xavier Maia. A scholar is included among the top collaborators of Júnia Xavier Maia 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 Júnia Xavier Maia. Júnia Xavier Maia is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 1 | |
| 3 | 2 | |
| 4 | 6 | |
| 5 | 28 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 1 | |
| 9 | 159 | |
| 10 | 5 | |
| 11 | 9 |
About Júnia Xavier Maia
Júnia Xavier Maia is a scholar working on Family Practice, Health Information Management and Gastroenterology, having authored 11 papers that have together received 231 indexed citations. Recurring topics across this work include Blood Pressure and Hypertension Studies (3 papers), Artificial Intelligence in Healthcare (3 papers) and Medication Adherence and Compliance (3 papers). The work is most often cited by research in Family Practice (19 citations), Endocrinology, Diabetes and Metabolism (111 citations) and Health Information Management (28 citations). Júnia Xavier Maia has collaborated with scholars based in Brazil, United Kingdom and Netherlands. Frequent co-authors include Milena Soriano Marcolino, Antônio Luiz Pinho Ribeiro, Maria Beatriz Moreira Alkmim, Eric Boersma, Clareci Silva Cardoso, Christiane Corrêa Rodrigues Cimini, Leonardo Bonisson Ribeiro, João Antônio de Queiroz Oliveira, José Luiz Padilha da Silva and Lidiane Aparecida Pereira de Sousa. Their work appears in journals such as PLoS ONE, Journal of Medical Internet Research and Diabetes Technology & Therapeutics.
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.