Bruna Donida

31 papers receiving 721 citations

Bruna Donida's Hit Papers

Semantic interoperability in health records standards: a systematic literature review 2022 · 96 citations
960+1+2Years since publication255075

Peers

Bruna Donida
Comparison fields: 5 of 134
  • Clinical Biochemistry 123
  • Health Informatics 15
  • Health Information Management 43
  • Pharmaceutical Science 52
  • Physiology 220
Replace Divya Sharma with:
Divya Sharma United States
Elham Bahreini Iran
Yi Ming Shao China
Mohsen Nabi‐Afjadi Iran
Saniya Nissar India
Senyi Deng China
Miaomiao Niu China
Saba Khan India
Qingqing Xiao China
Yihua Xu United States
Bruna Donida relative to Divya Sharma United States Divya Sharma's profile →
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Countries citing papers authored by Bruna Donida

Since Specialization
Citations

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

Fields of papers citing papers by Bruna Donida

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 25 scholars most cited alongside Bruna Donida, 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 Bruna Donida Line = papers co-authored together Bruna Donida links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Semantic interoperability in health records standards: a systematic literature review
Hit paper breakdown →
202296
2 201267
3 202162
4 201559
5 201544
6 200843
7 201634
8 201534
9 201530
10 201626
11 202223
12 201422
13 201521
14 202120
15 201518
16 201718
17 201718
18 201817
19 201715
20 201515

About Bruna Donida

Bruna Donida is a scholar working on Physiology, Molecular Biology, Clinical Biochemistry, Rheumatology and Biochemistry, having authored 32 papers that have together received 735 indexed citations. Recurring topics across this work include Lysosomal Storage Disorders Research (10 papers), Metabolism and Genetic Disorders (7 papers), Peroxisome Proliferator-Activated Receptors (5 papers), Biomedical Research and Pathophysiology (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Biochemical Acid Research Studies (3 papers), Folate and B Vitamins Research (3 papers) and COVID-19 diagnosis using AI (2 papers). The work is most often cited by research in Clinical Biochemistry (123 citations), Health Informatics (15 citations), Health Information Management (43 citations), Pharmaceutical Science (52 citations) and Physiology (220 citations). Bruna Donida has collaborated with scholars based in Brazil, Australia and Portugal. Frequent co-authors include Carmen Regla Vargas, Desirèe Padilha Marchetti, Cristiano André da Costa, Fernanda Poletto, Adriana Raffin Pohlmann, Sı́lvia Stanisçuaski Guterres, Sandro José Rigo, Marion Deon, Rodrigo da Rosa Righi and Caroline Paula Mescka. Their work appears in journals such as International Journal of Developmental Neuroscience, Cellular and Molecular Neurobiology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease, Journal of Nanoscience and Nanotechnology and Clinica Chimica Acta.

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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