Júnia Xavier Maia

424 citations
11 papers · 231 indexed · h-index 6

Júnia Xavier Maia

10 papers receiving 207 citations

Peers

Júnia Xavier Maia
Comparison fields: 5 of 54
  • Family Practice 19
  • Endocrinology, Diabetes and Metabolism 111
  • Health Information Management 28
  • General Health Professions 122
  • Applied Psychology 12
Replace Janani Pinidiyapathirage with:
Janani Pinidiyapathirage Australia
Helen Gomes United States
Valerio Miselli Italy
Doris Quinn United States
Gretchen Benson United States
Stine Hangaard Denmark
Daniel Nogueira Cortez Brazil
William G. Weppner United States
C. A. M. Paddison United Kingdom
Kathleen Wolff United States
Júnia Xavier Maia relative to Janani Pinidiyapathirage Australia Janani Pinidiyapathirage's profile →
Citations per field
00.5×4.7×
Janani Pinidiyapathirage · 1×
Citations per year

Countries citing papers authored by Júnia Xavier Maia

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

The 22 scholars most cited alongside Júnia Xavier Maia, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Júnia Xavier Maia Line = papers co-authored together Júnia Xavier Maia links everyone, so they are left out of the graph.

All Works

11 of 11 papers shown
#Work
1 20240
2 20231
3 20232
4 20226
5 202028
6 20194
7 201616
8 20151
9 2013159
10 20035
11 20039

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), Medication Adherence and Compliance (3 papers), Gastroesophageal reflux and treatments (2 papers), Diabetes Management and Education (2 papers), Mobile Health and mHealth Applications (2 papers), Diabetes Management and Research (2 papers) and Breastfeeding Practices and Influences (1 paper). 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026