Faraz Faghri

12.1k citations
27 papers · 1.8k · 3 hit papers · h-index 15

Impact in

  • Neurology top 5%
    • Parkinson's Disease Mechanisms and Treatments
    • Neuroinflammation and Neurodegeneration Mechanisms

Papers in

    • Bioinformatics and Genomic Networks 4
    • Gene expression and cancer classification 4
    • Microbial Metabolic Engineering and Bioproduction 2
    • Parkinson's Disease Mechanisms and Treatments 7
    • Amyotrophic Lateral Sclerosis Research 3

Faraz Faghri

24 papers receiving 1.7k citations

Faraz Faghri's Hit Papers

Virus exposure and neurodegenerative disease risk across national biobanks 2023 · 175 citations
1750+3+7Years since publication200400600

Peers

Faraz Faghri
Comparison fields: 5 of 154
  • Health Informatics 38
  • Neurology 192
  • Biological Psychiatry 50
  • Health Information Management 70
  • Aging 25
Replace Pingzhao Hu with:
Pingzhao Hu Canada
John V. Pearson Australia
Dexter Hadley United States
Michael Rebhan Germany
Tim Hulsen Netherlands
Dov Greenbaum United States
Jasmin Fisher United Kingdom
Chunlei Wu United States
Venkata Satagopam Luxembourg
Guanghua Xiao United States
Faraz Faghri relative to Pingzhao Hu Canada Pingzhao Hu's profile →
Citations per field
00.5×1.5×2.1×
Pingzhao Hu · 1×
Citations per year

Countries citing papers authored by Faraz Faghri

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authors

The 25 scholars most cited alongside Faraz Faghri, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Faraz Faghri Line = papers co-authored together Faraz Faghri links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 27 papers — load more, or switch the sort, to bring in the rest.

#Work
1
Big Data: Astronomical or Genomical?
Hit paper breakdown →
2015744
2
Genome-wide CRISPRi/a screens in human neurons link lysosomal failure to ferroptosis
Hit paper breakdown →
2021229
3
Virus exposure and neurodegenerative disease risk across national biobanks
Hit paper breakdown →
2023175
4 2022123
5 2019111
6 201676
7 202250
8 202045
9 201940
10 202329
11 202127
12 201223
13 202319
14 202315
15 202114
16 202311
17 202411
18 20217
19 20244
20 20252

About Faraz Faghri

Faraz Faghri is a scholar working on Molecular Biology, Neurology, Information Systems, Cognitive Neuroscience and Artificial Intelligence, 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), Gene expression and cancer classification (4 papers), Computational Drug Discovery Methods (3 papers), Amyotrophic Lateral Sclerosis Research (3 papers), Autism Spectrum Disorder Research (2 papers), Microbial Metabolic Engineering and Bioproduction (2 papers) and IoT and Edge/Fog Computing (2 papers). The work is most often cited by research in Health Informatics (38 citations), Neurology (192 citations), Biological Psychiatry (50 citations), Health Information Management (70 citations) and Aging (25 citations). Faraz Faghri has collaborated with scholars based in United States, United Kingdom and Germany. Frequent co-authors include Roy H. Campbell, Zachary Stephens, Michael C. Schatz, Ravishankar K. Iyer, Miles Efron, ChengXiang Zhai, Saurabh Sinha, Gene E. Robinson, Mike A. Nalls and Andrew Singleton. Their work appears in journals such as Patterns, Nature Neuroscience, The American Journal of Human Genetics, Alzheimer s & Dementia and Brain 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.

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