Fatema Abdurrob
- Molecular Biology top 5%
- Neurology top 0.5%
- Cellular and Molecular Neuroscience top 2%
- Physiology top 2%
- Cognitive Neuroscience top 2%
- Co-authors
- Li‐Huei TsaiAnthony J. MartorellFan GaoJennie Z. YoungJinsoo SeoDavid A. BennettManolis KellisJosé Dávila-Velderrain
- Topics
- Neuroinflammation and Neurodegeneration Mechanisms (7 papers)Neuroscience and Neuropharmacology Research (4 papers)Alzheimer's disease research and treatments (3 papers)
- Journals
- NatureCellNature Communications
- Partner nations
- United States
In The Last Decade
Fatema Abdurrob
12 papers receiving 3.4k citations
Hit Papers
Peers
Comparison fields: 5 of 113
- Molecular Biology 1.3k
- Neurology 1.2k
- Cellular and Molecular Neuroscience 1.1k
- Physiology 992
- Cognitive Neuroscience 738
Countries citing papers authored by Fatema Abdurrob
This map shows the geographic impact of Fatema Abdurrob'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 Fatema Abdurrob with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fatema Abdurrob more than expected).
Fields of papers citing papers by Fatema Abdurrob
This network shows the impact of papers produced by Fatema Abdurrob. 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 Fatema Abdurrob. The network helps show where Fatema Abdurrob may publish in the future.
Co-authorship network of co-authors of Fatema Abdurrob
This figure shows the co-authorship network connecting the top 25 collaborators of Fatema Abdurrob. A scholar is included among the top collaborators of Fatema Abdurrob 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 Fatema Abdurrob. Fatema Abdurrob is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 8 | |
| 2 | 15 | |
| 3 | 11 | |
| 4 | 56 | |
| 5 | 58 | |
| 6 | Multi-sensory Gamma Stimulation Ameliorates Alzheimer’s-Associated Pathology and Improves Cognitionbreakdown → | 473 |
| 7 | 54 | |
| 8 | Single-cell transcriptomic analysis of Alzheimer’s diseasebreakdown → | 1401 |
| 9 | 81 | |
| 10 | Gamma frequency entrainment attenuates amyloid load and modifies microglia | 3 |
| 11 | Self-Organizing 3D Human Neural Tissue Derived from Induced Pluripotent Stem Cells Recapitulate Alzheimer’s Disease Phenotypesbreakdown → | 409 |
| 12 | Gamma frequency entrainment attenuates amyloid load and modifies microgliabreakdown → | 859 |
About Fatema Abdurrob
Fatema Abdurrob is a scholar working on Neurology, Developmental Neuroscience and Biological Psychiatry, having authored 12 papers that have together received 3.4k indexed citations. Recurring topics across this work include Neuroinflammation and Neurodegeneration Mechanisms (7 papers), Neuroscience and Neuropharmacology Research (4 papers) and Alzheimer's disease research and treatments (3 papers). The work is most often cited by research in Neurology (1.2k citations), Biological Psychiatry (215 citations) and Developmental Neuroscience (305 citations). Fatema Abdurrob has collaborated with scholars based in United States. Frequent co-authors include Li‐Huei Tsai, Anthony J. Martorell, Fan Gao, Jennie Z. Young, Jinsoo Seo, David A. Bennett, Manolis Kellis, José Dávila-Velderrain, Annabelle C. Singer and Liang He. Their work appears in journals such as Nature, Cell and Nature Communications.
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.