Maria Beatriz Moretto
- Molecular Biology
- Physiology top 1%
- Endocrinology, Diabetes and Metabolism top 10%
- Epidemiology
- Plant Science
- Co-authors
- Rafael Noal MorescoMaria Rosa Chitolina SchetingerVera Maria MorschKarine Santos De BonaPaula Eliete Rodrigues BitencourtLuziane Potrich BelléJoão Batista Teixeira da RochaEtiane Tatsch
- Topics
- Adenosine and Purinergic Signaling (17 papers)Natural Antidiabetic Agents Studies (10 papers)Advanced Glycation End Products research (6 papers)
- Cited by
- PhysiologyToxicologyNephrology
- Partner nations
- BrazilUnited StatesPortugal
In The Last Decade
Maria Beatriz Moretto
56 papers receiving 1.1k citations
Peers
Comparison fields: 5 of 104
- Molecular Biology 253
- Physiology 197
- Endocrinology, Diabetes and Metabolism 185
- Epidemiology 137
- Plant Science 121
Countries citing papers authored by Maria Beatriz Moretto
This map shows the geographic impact of Maria Beatriz Moretto'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 Maria Beatriz Moretto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Maria Beatriz Moretto more than expected).
Fields of papers citing papers by Maria Beatriz Moretto
This network shows the impact of papers produced by Maria Beatriz Moretto. 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 Maria Beatriz Moretto. The network helps show where Maria Beatriz Moretto may publish in the future.
Co-authorship network of co-authors of Maria Beatriz Moretto
This figure shows the co-authorship network connecting the top 25 collaborators of Maria Beatriz Moretto. A scholar is included among the top collaborators of Maria Beatriz Moretto 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 Maria Beatriz Moretto. Maria Beatriz Moretto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 8 | |
| 3 | 6 | |
| 4 | 89 | |
| 5 | 10 | |
| 6 | 14 | |
| 7 | 27 | |
| 8 | 7 | |
| 9 | 0 | |
| 10 | 41 | |
| 11 | 7 | |
| 12 | 16 | |
| 13 | 15 | |
| 14 | 25 | |
| 15 | 14 | |
| 16 | 14 | |
| 17 | 28 | |
| 18 | 25 | |
| 19 | 59 | |
| 20 | 38 |
About Maria Beatriz Moretto
Maria Beatriz Moretto is a scholar working on Physiology, Clinical Biochemistry and Toxicology, having authored 58 papers that have together received 1.1k indexed citations. Recurring topics across this work include Adenosine and Purinergic Signaling (17 papers), Natural Antidiabetic Agents Studies (10 papers) and Advanced Glycation End Products research (6 papers). The work is most often cited by research in Physiology (197 citations), Toxicology (56 citations) and Nephrology (100 citations). Maria Beatriz Moretto has collaborated with scholars based in Brazil, United States and Portugal. Frequent co-authors include Rafael Noal Moresco, Maria Rosa Chitolina Schetinger, Vera Maria Morsch, Karine Santos De Bona, Paula Eliete Rodrigues Bitencourt, Luziane Potrich Bellé, João Batista Teixeira da Rocha, Etiane Tatsch, Aline Augusti Boligon and José Antônio Mainardi de Carvalho. Their work appears in journals such as PLoS ONE, Molecules and Journal of Ethnopharmacology.
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.