Alberto A. Gabbai
- Genetics top 5%
- Neurology top 5%
- Radiology, Nuclear Medicine and Imaging top 10%
- Pathology and Forensic Medicine top 10%
- Molecular Biology
- Co-authors
- Suzana Mária Fleury MalheirosFernando FerrazCarlos J. da SilvaJoão N. StávaleAntônio José da RochaAntônio Carlos Martins MaiaFred H. HochbergRifaat Bashir
- Topics
- Multiple Sclerosis Research Studies (4 papers)Neurogenetic and Muscular Disorders Research (4 papers)T-cell and Retrovirus Studies (3 papers)
- Journals
- PLoS ONENeurologyAnnals of Neurology
- Partner nations
- BrazilUnited StatesAustria
In The Last Decade
Alberto A. Gabbai
23 papers receiving 733 citations
Peers
Comparison fields: 5 of 79
- Genetics 285
- Neurology 234
- Radiology, Nuclear Medicine and Imaging 207
- Pathology and Forensic Medicine 200
- Molecular Biology 118
Countries citing papers authored by Alberto A. Gabbai
This map shows the geographic impact of Alberto A. Gabbai'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 Alberto A. Gabbai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Alberto A. Gabbai more than expected).
Fields of papers citing papers by Alberto A. Gabbai
This network shows the impact of papers produced by Alberto A. Gabbai. 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 Alberto A. Gabbai. The network helps show where Alberto A. Gabbai may publish in the future.
Co-authorship network of co-authors of Alberto A. Gabbai
This figure shows the co-authorship network connecting the top 25 collaborators of Alberto A. Gabbai. A scholar is included among the top collaborators of Alberto A. Gabbai 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 Alberto A. Gabbai. Alberto A. Gabbai 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 | 5 | |
| 3 | 12 | |
| 4 | 18 | |
| 5 | 14 | |
| 6 | 17 | |
| 7 | MR Cerebral Blood Volume Maps Correlated with Vascular Endothelial Growth Factor Expression and Tumor Grade in Nonenhancing Gliomas | 160 |
| 8 | 53 | |
| 9 | 40 | |
| 10 | 2 | |
| 11 | 25 | |
| 12 | 80 | |
| 13 | 7 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 44 | |
| 17 | 4 | |
| 18 | 6 | |
| 19 | 123 | |
| 20 | 67 |
About Alberto A. Gabbai
Alberto A. Gabbai is a scholar working on Microbiology, Genetics and Neurology, having authored 23 papers that have together received 757 indexed citations. Recurring topics across this work include Multiple Sclerosis Research Studies (4 papers), Neurogenetic and Muscular Disorders Research (4 papers) and T-cell and Retrovirus Studies (3 papers). The work is most often cited by research in Genetics (285 citations), Neurology (234 citations) and Pathology and Forensic Medicine (200 citations). Alberto A. Gabbai has collaborated with scholars based in Brazil, United States and Austria. Frequent co-authors include Suzana Mária Fleury Malheiros, Fernando Ferraz, Carlos J. da Silva, João N. Stávale, Antônio José da Rocha, Antônio Carlos Martins Maia, Fred H. Hochberg, Rifaat Bashir, Rita M. Linggood and Acary Souza Bullé Oliveira. Their work appears in journals such as PLoS ONE, Neurology and Annals of Neurology.
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.