Oliver J. Ubeda
- Physiology top 0.5%
- Molecular Biology top 5%
- Pharmacology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Neurology top 0.5%
- Co-authors
- Sally A. FrautschyGiselle P. LimFusheng YangGreg M. ColeBruce TeterSurendra S. AmbegaokarTakashi MoriharaAynun N. Begum
- Topics
- Alzheimer's disease research and treatments (16 papers)Nuclear Receptors and Signaling (5 papers)Neuroscience and Neuropharmacology Research (4 papers)
- Partner nations
- United StatesCanadaFrance
In The Last Decade
Oliver J. Ubeda
22 papers receiving 5.8k citations
Hit Papers
Peers
Comparison fields: 5 of 122
- Physiology 3.6k
- Molecular Biology 1.9k
- Pharmacology 1.1k
- Cellular and Molecular Neuroscience 1.1k
- Neurology 937
Countries citing papers authored by Oliver J. Ubeda
This map shows the geographic impact of Oliver J. Ubeda'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 Oliver J. Ubeda with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Oliver J. Ubeda more than expected).
Fields of papers citing papers by Oliver J. Ubeda
This network shows the impact of papers produced by Oliver J. Ubeda. 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 Oliver J. Ubeda. The network helps show where Oliver J. Ubeda may publish in the future.
Co-authorship network of co-authors of Oliver J. Ubeda
This figure shows the co-authorship network connecting the top 25 collaborators of Oliver J. Ubeda. A scholar is included among the top collaborators of Oliver J. Ubeda 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 Oliver J. Ubeda. Oliver J. Ubeda is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 106 | |
| 2 | 159 | |
| 3 | 437 | |
| 4 | 70 | |
| 5 | 102 | |
| 6 | 139 | |
| 7 | 11 | |
| 8 | 86 | |
| 9 | 96 | |
| 10 | 269 | |
| 11 | A Diet Enriched with the Omega-3 Fatty Acid Docosahexaenoic Acid Reduces Amyloid Burden in an Aged Alzheimer Mouse Modelbreakdown → | 548 |
| 12 | 188 | |
| 13 | 113 | |
| 14 | Curcumin Inhibits Formation of Amyloid β Oligomers and Fibrils, Binds Plaques, and Reduces Amyloid in Vivobreakdown → | 1901 |
| 15 | Docosahexaenoic Acid Protects from Dendritic Pathology in an Alzheimer's Disease Mouse Modelbreakdown → | 557 |
| 16 | 271 | |
| 17 | 3 | |
| 18 | 2 | |
| 19 | 122 | |
| 20 | Ibuprofen Suppresses Plaque Pathology and Inflammation in a Mouse Model for Alzheimer's Diseasebreakdown → | 741 |
About Oliver J. Ubeda
Oliver J. Ubeda is a scholar working on Physiology, Molecular Medicine and Cellular and Molecular Neuroscience, having authored 22 papers that have together received 5.9k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (16 papers), Nuclear Receptors and Signaling (5 papers) and Neuroscience and Neuropharmacology Research (4 papers). The work is most often cited by research in Molecular Medicine (886 citations), Physiology (3.6k citations) and Biological Psychiatry (314 citations). Oliver J. Ubeda has collaborated with scholars based in United States, Canada and France. Frequent co-authors include Sally A. Frautschy, Giselle P. Lim, Fusheng Yang, Greg M. Cole, Bruce Teter, Surendra S. Ambegaokar, Takashi Morihara, Aynun N. Begum, Charles Glabe and Gregory M. Cole. Their work appears in journals such as Journal of Biological Chemistry, Neuron and Journal of Neuroscience.
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.