Luiz F. Barella
- Physiology top 5%
- Surgery top 10%
- Pediatrics, Perinatology and Child Health top 5%
- Molecular Biology
- Endocrinology, Diabetes and Metabolism top 5%
- Co-authors
- Paulo Cézar de Freitas MathiasJúlio Cézar de OliveiraJürgen WessRosiane Aparecida MirandaYinghong CuiAnanda MaltaRosana TorrezanLu Zhu
- Topics
- Pancreatic function and diabetes (27 papers)Adipose Tissue and Metabolism (17 papers)Birth, Development, and Health (16 papers)
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationNature Communications
- Partner nations
- BrazilUnited StatesFrance
In The Last Decade
Luiz F. Barella
49 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 91
- Physiology 414
- Surgery 331
- Pediatrics, Perinatology and Child Health 282
- Molecular Biology 279
- Endocrinology, Diabetes and Metabolism 263
Countries citing papers authored by Luiz F. Barella
This map shows the geographic impact of Luiz F. Barella'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 Luiz F. Barella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Luiz F. Barella more than expected).
Fields of papers citing papers by Luiz F. Barella
This network shows the impact of papers produced by Luiz F. Barella. 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 Luiz F. Barella. The network helps show where Luiz F. Barella may publish in the future.
Co-authorship network of co-authors of Luiz F. Barella
This figure shows the co-authorship network connecting the top 25 collaborators of Luiz F. Barella. A scholar is included among the top collaborators of Luiz F. Barella 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 Luiz F. Barella. Luiz F. Barella 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 | 4 | |
| 3 | 2 | |
| 4 | 17 | |
| 5 | 17 | |
| 6 | 4 | |
| 7 | 6 | |
| 8 | 9 | |
| 9 | 30 | |
| 10 | 7 | |
| 11 | 116 | |
| 12 | 32 | |
| 13 | 36 | |
| 14 | 26 | |
| 15 | 25 | |
| 16 | 51 | |
| 17 | 16 | |
| 18 | 9 | |
| 19 | 48 | |
| 20 | 6 |
About Luiz F. Barella
Luiz F. Barella is a scholar working on Endocrine and Autonomic Systems, Physiology and Pediatrics, Perinatology and Child Health, having authored 50 papers that have together received 1.0k indexed citations. Recurring topics across this work include Pancreatic function and diabetes (27 papers), Adipose Tissue and Metabolism (17 papers) and Birth, Development, and Health (16 papers). The work is most often cited by research in Endocrine and Autonomic Systems (129 citations), Physiology (414 citations) and Endocrinology, Diabetes and Metabolism (263 citations). Luiz F. Barella has collaborated with scholars based in Brazil, United States and France. Frequent co-authors include Paulo Cézar de Freitas Mathias, Júlio Cézar de Oliveira, Jürgen Wess, Rosiane Aparecida Miranda, Yinghong Cui, Ananda Malta, Rosana Torrezan, Lu Zhu, Claudinéia Conationi da Silva Franco and Clarice Gravena. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and Nature Communications.
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.