Fabiana Galland
- Molecular Biology
- Neurology top 5%
- Physiology top 10%
- Cellular and Molecular Neuroscience top 10%
- Neurology top 10%
- Co-authors
- Marina Concli LeiteCarlos‐Alberto GonçalvesMaria Cristina GuerraCarmem GottfriedGiovana BroleseCarlos Alberto GonçalvesCristiane BatassiniMaria Teresa Bertoldo Pacheco
- Topics
- Protein Hydrolysis and Bioactive Peptides (10 papers)S100 Proteins and Annexins (10 papers)Neuroinflammation and Neurodegeneration Mechanisms (6 papers)
- Journals
- SHILAP Revista de lepidopterologíaBrain ResearchFood Chemistry
- Partner nations
- BrazilChinaUnited Kingdom
In The Last Decade
Fabiana Galland
33 papers receiving 801 citations
Peers
Comparison fields: 5 of 102
- Molecular Biology 388
- Neurology 205
- Physiology 199
- Cellular and Molecular Neuroscience 156
- Neurology 94
Countries citing papers authored by Fabiana Galland
This map shows the geographic impact of Fabiana Galland'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 Fabiana Galland with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fabiana Galland more than expected).
Fields of papers citing papers by Fabiana Galland
This network shows the impact of papers produced by Fabiana Galland. 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 Fabiana Galland. The network helps show where Fabiana Galland may publish in the future.
Co-authorship network of co-authors of Fabiana Galland
This figure shows the co-authorship network connecting the top 25 collaborators of Fabiana Galland. A scholar is included among the top collaborators of Fabiana Galland 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 Fabiana Galland. Fabiana Galland is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 5 | |
| 4 | 12 | |
| 5 | 14 | |
| 6 | 4 | |
| 7 | 2 | |
| 8 | 6 | |
| 9 | 6 | |
| 10 | 22 | |
| 11 | 1 | |
| 12 | 6 | |
| 13 | 6 | |
| 14 | 16 | |
| 15 | 19 | |
| 16 | 37 | |
| 17 | 22 | |
| 18 | 17 | |
| 19 | 77 | |
| 20 | 119 |
About Fabiana Galland
Fabiana Galland is a scholar working on Neurology, Biological Psychiatry and Animal Science and Zoology, having authored 35 papers that have together received 811 indexed citations. Recurring topics across this work include Protein Hydrolysis and Bioactive Peptides (10 papers), S100 Proteins and Annexins (10 papers) and Neuroinflammation and Neurodegeneration Mechanisms (6 papers). The work is most often cited by research in Neurology (205 citations), Biological Psychiatry (52 citations) and Developmental Neuroscience (50 citations). Fabiana Galland has collaborated with scholars based in Brazil, China and United Kingdom. Frequent co-authors include Marina Concli Leite, Carlos‐Alberto Gonçalves, Maria Cristina Guerra, Carmem Gottfried, Giovana Brolese, Carlos Alberto Gonçalves, Cristiane Batassini, Maria Teresa Bertoldo Pacheco, Fernanda Hansen and Lucas Silva Tortorelli. Their work appears in journals such as SHILAP Revista de lepidopterología, Brain Research and Food Chemistry.
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.