Bruna Donida

32 papers receiving 827 citations

Bruna Donida's Hit Papers

Semantic interoperability in health records standards: a systematic literature review 2022 · 128 citations
1280+1+2Years since publication4080120

Peers

Bruna Donida
Comparison fields: 5 of 135
  • Clinical Biochemistry 124
  • Health Informatics 16
  • Health Information Management 43
  • Pharmaceutical Science 57
  • Physiology 217
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Na Yang China
Senyi Deng China
Divya Sharma United States
Rashmi Pathak India
Yue Gao China
Mohsen Nabi‐Afjadi Iran
Nadeem Zafar United States
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Miao-Miao Niu China
Sandeep Saxena India
Bruna Donida relative to Na Yang China Na Yang's profile →
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Citations per year

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 34 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 →
2022128
2 202185
3 201268
4 201559
5 200848
6 201547
7 201536
8 201635
9 201533
10 202231
11 201629
12 201524
13 202123
14 201423
15 201520
16 201720
17 201820
18 201719
19 201516
20 201715

About Bruna Donida

Bruna Donida is a scholar working on Clinical Biochemistry, Physiology, Biochemistry, Rheumatology and Molecular Biology, having authored 34 papers that have together received 844 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), COVID-19 diagnosis using AI (3 papers), Metabolomics and Mass Spectrometry Studies (3 papers), Biochemical Acid Research Studies (3 papers), Biomedical Research and Pathophysiology (3 papers) and Folate and B Vitamins Research (3 papers). The work is most often cited by research in Clinical Biochemistry (124 citations), Health Informatics (16 citations), Health Information Management (43 citations), Pharmaceutical Science (57 citations) and Physiology (217 citations). Bruna Donida has collaborated with scholars based in Brazil, Portugal and Australia. Frequent co-authors include Carmen Regla Vargas, Cristiano André da Costa, Desirèe Padilha Marchetti, Rodrigo da Rosa Righi, Sandro José Rigo, Fernanda S. Poletto, Adriana Raffin Pohlmann, Sı́lvia Stanisçuaski Guterres, Marion Deon and Caroline Paula Mescka. Their work appears in journals such as International Journal of Developmental Neuroscience, Journal of Nanoscience and Nanotechnology, Cellular and Molecular Neurobiology, Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease 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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