Mariano Uberti
Impact in
-
- HIV Research and Treatment
-
- Parkinson's Disease Mechanisms and Treatments
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
- Virology 6
- HIV Research and Treatment 6
- Co-authors
- Michael D. Boska (12 shared papers)Howard E. Gendelman (11 shared papers)Jay A. Nelson (2 shared papers)Feng Xie (1 shared paper)Thomas R. Porter (1 shared paper)Jeane Mike Tsutsui (1 shared paper)John Lof (1 shared paper)Marina Zelivyanskaya (1 shared paper)
- Journals
- Journal of Visualized Experiments (2 papers)Journal of Neuroimmunology (1 paper)Journal of Neuroscience (1 paper)IEEE Access (1 paper)Journal of Neuroimmune Pharmacology (1 paper)
- Partner nations
- United StatesChina
In The Last Decade
Mariano Uberti
15 papers receiving 302 citations
Peers
Comparison fields: 5 of 66
- Virology 27
- Neurology 33
- Radiology, Nuclear Medicine and Imaging 68
- Developmental Neuroscience 11
- Biomaterials 31
Countries citing papers authored by Mariano Uberti
This map shows the geographic impact of Mariano Uberti'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 Mariano Uberti with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mariano Uberti more than expected).
Fields of papers citing papers by Mariano Uberti
This network shows the impact of papers produced by Mariano Uberti. 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 Mariano Uberti. The network helps show where Mariano Uberti may publish in the future.
Co-authors
The 25 scholars most cited alongside Mariano Uberti, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 68 | |
| 2 | 2008 | 68 | |
| 3 | 2005 | 51 | |
| 4 | 2011 | 36 | |
| 5 | 2009 | 25 | |
| 6 | 2008 | 17 | |
| 7 | 2021 | 14 | |
| 8 | 2009 | 10 | |
| 9 | 2005 | 9 | |
| 10 | 2010 | 3 | |
| 11 | 2009 | 3 | |
| 12 | 2025 | 3 | |
| 13 | 2015 | 2 | |
| 14 | Coexpression of multiple immunoglobulin heavy chain classes on human leukemic B lymphocytes. | 1982 | 2 |
| 15 | 2010 | 1 | |
| 16 | 2025 | 0 | |
| 17 | 2025 | 0 |
About Mariano Uberti
Mariano Uberti is a scholar working on Virology, Molecular Biology, Pediatrics, Perinatology and Child Health, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging, having authored 17 papers that have together received 312 indexed citations. Recurring topics across this work include HIV Research and Treatment (6 papers), Medical Image Segmentation Techniques (3 papers), Neuroinflammation and Neurodegeneration Mechanisms (3 papers), Lanthanide and Transition Metal Complexes (3 papers), Neuroscience and Neuropharmacology Research (2 papers), Medical Imaging Techniques and Applications (2 papers), Fetal and Pediatric Neurological Disorders (2 papers) and HIV-related health complications and treatments (2 papers). The work is most often cited by research in Virology (27 citations), Neurology (33 citations), Radiology, Nuclear Medicine and Imaging (68 citations), Developmental Neuroscience (11 citations) and Biomaterials (31 citations). Mariano Uberti has collaborated with scholars based in United States and China. Frequent co-authors include Michael D. Boska, Howard E. Gendelman, Jay A. Nelson, Feng Xie, Thomas R. Porter, Jeane Mike Tsutsui, John Lof, Marina Zelivyanskaya, Larisa Y. Poluektova and R. Lee Mosley. Their work appears in journals such as Journal of Visualized Experiments, Journal of Neuroimmunology, Journal of Neuroscience, IEEE Access and Journal of Neuroimmune Pharmacology.
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.