Faraz Faghri
- Molecular Biology top 10%
- Artificial Intelligence top 5%
- Neurology top 5%
- Neurology top 5%
- Genetics top 10%
- Co-authors
- Roy H. CampbellGene E. RobinsonMichael C. SchatzMiles EfronChengXiang ZhaiRavishankar K. IyerZachary StephensSaurabh Sinha
- Topics
- Parkinson's Disease Mechanisms and Treatments (7 papers)Bioinformatics and Genomic Networks (4 papers)Gene expression and cancer classification (4 papers)
- Journals
- NeuronNature NeurosciencePLoS ONE
- Partner nations
- United StatesUnited KingdomGermany
In The Last Decade
Faraz Faghri
24 papers receiving 1.7k citations
Hit Papers
Peers
Comparison fields: 5 of 154
- Molecular Biology 810
- Artificial Intelligence 284
- Neurology 202
- Neurology 192
- Genetics 182
Countries citing papers authored by Faraz Faghri
This map shows the geographic impact of Faraz Faghri'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 Faraz Faghri with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Faraz Faghri more than expected).
Fields of papers citing papers by Faraz Faghri
This network shows the impact of papers produced by Faraz Faghri. 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 Faraz Faghri. The network helps show where Faraz Faghri may publish in the future.
Co-authorship network of co-authors of Faraz Faghri
This figure shows the co-authorship network connecting the top 25 collaborators of Faraz Faghri. A scholar is included among the top collaborators of Faraz Faghri 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 Faraz Faghri. Faraz Faghri is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 11 | |
| 7 | 11 | |
| 8 | 1 | |
| 9 | Virus exposure and neurodegenerative disease risk across national biobanksbreakdown → | 175 |
| 10 | 19 | |
| 11 | 1 | |
| 12 | 123 | |
| 13 | 50 | |
| 14 | Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosisbreakdown → | 229 |
| 15 | 27 | |
| 16 | 14 | |
| 17 | 1 | |
| 18 | 7 | |
| 19 | 40 | |
| 20 | 111 |
About Faraz Faghri
Faraz Faghri is a scholar working on Aging, Geriatrics and Gerontology and Neurology, having authored 27 papers that have together received 1.8k indexed citations. Recurring topics across this work include Parkinson's Disease Mechanisms and Treatments (7 papers), Bioinformatics and Genomic Networks (4 papers) and Gene expression and cancer classification (4 papers). The work is most often cited by research in Health Informatics (38 citations), Neurology (192 citations) and Biological Psychiatry (50 citations). Faraz Faghri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Roy H. Campbell, Gene E. Robinson, Michael C. Schatz, Miles Efron, ChengXiang Zhai, Ravishankar K. Iyer, Zachary Stephens, Saurabh Sinha, Mike A. Nalls and Andrew Singleton. Their work appears in journals such as Neuron, Nature Neuroscience and PLoS ONE.
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.