Giselle P. Lim
- Physiology top 0.2%
- Molecular Biology top 5%
- Molecular Medicine top 0.1%
- Pharmacology top 0.5%
- Neurology top 0.5%
- Co-authors
- Sally A. FrautschyFusheng YangGreg M. ColeOliver J. UbedaBruce TeterWalter BeechTakashi MoriharaAynun N. Begum
- Topics
- Alzheimer's disease research and treatments (18 papers)Neuroinflammation and Neurodegeneration Mechanisms (11 papers)Curcumin's Biomedical Applications (5 papers)
- Partner nations
- United StatesItalyFrance
In The Last Decade
Giselle P. Lim
27 papers receiving 7.5k citations
Hit Papers
Peers
Comparison fields: 5 of 126
- Physiology 4.4k
- Molecular Biology 2.4k
- Molecular Medicine 1.6k
- Pharmacology 1.4k
- Neurology 1.3k
Countries citing papers authored by Giselle P. Lim
This map shows the geographic impact of Giselle P. Lim'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 Giselle P. Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Giselle P. Lim more than expected).
Fields of papers citing papers by Giselle P. Lim
This network shows the impact of papers produced by Giselle P. Lim. 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 Giselle P. Lim. The network helps show where Giselle P. Lim may publish in the future.
Co-authorship network of co-authors of Giselle P. Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Giselle P. Lim. A scholar is included among the top collaborators of Giselle P. Lim 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 Giselle P. Lim. Giselle P. Lim is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 91 | |
| 2 | 187 | |
| 3 | 482 | |
| 4 | 96 | |
| 5 | 269 | |
| 6 | A Diet Enriched with the Omega-3 Fatty Acid Docosahexaenoic Acid Reduces Amyloid Burden in an Aged Alzheimer Mouse Modelbreakdown → | 548 |
| 7 | 83 | |
| 8 | 188 | |
| 9 | 113 | |
| 10 | 173 | |
| 11 | Curcumin Inhibits Formation of Amyloid β Oligomers and Fibrils, Binds Plaques, and Reduces Amyloid in Vivobreakdown → | 1901 |
| 12 | 21 | |
| 13 | Docosahexaenoic Acid Protects from Dendritic Pathology in an Alzheimer's Disease Mouse Modelbreakdown → | 557 |
| 14 | 1 | |
| 15 | 271 | |
| 16 | 1 | |
| 17 | 3 | |
| 18 | Ibuprofen Suppresses Plaque Pathology and Inflammation in a Mouse Model for Alzheimer's Diseasebreakdown → | 741 |
| 19 | 24 | |
| 20 | 106 |
About Giselle P. Lim
Giselle P. Lim is a scholar working on Neurology, Biological Psychiatry and Molecular Medicine, having authored 27 papers that have together received 7.8k indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (18 papers), Neuroinflammation and Neurodegeneration Mechanisms (11 papers) and Curcumin's Biomedical Applications (5 papers). The work is most often cited by research in Molecular Medicine (1.6k citations), Physiology (4.4k citations) and Biological Psychiatry (418 citations). Giselle P. Lim has collaborated with scholars based in United States, Italy and France. Frequent co-authors include Sally A. Frautschy, Fusheng Yang, Greg M. Cole, Oliver J. Ubeda, Bruce Teter, Walter Beech, Takashi Morihara, Aynun N. Begum, Surendra S. Ambegaokar and Teresa Chu. 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.