Navid Khan

539 citations
7 papers · 296 · h-index 6

Impact in

    • Virus-based gene therapy research
    • Neurogenetic and Muscular Disorders Research
    • Muscle Physiology and Disorders
    • Protein purification and stability
    • RNA Interference and Gene Delivery
    • CRISPR and Genetic Engineering
    • Viral Infectious Diseases and Gene Expression in Insects

Papers in

    • Muscle Physiology and Disorders 4
    • Protein purification and stability 2
    • RNA Interference and Gene Delivery 2
    • SARS-CoV-2 detection and testing 1

Navid Khan

6 papers receiving 285 citations

Peers

Navid Khan
Comparison fields: 5 of 55
  • Genetics 41
  • Molecular Biology 260
  • Genetics 61
  • Cardiology and Cardiovascular Medicine 36
  • Rehabilitation 9
Replace Chao-Jen Wong with:
Chao-Jen Wong United States
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Louise Deschênes Canada
Alec M. DeSimone United States
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Aaron S. Zelikovich United States
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Citations per field
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Citations per year

Countries citing papers authored by Navid Khan

Since Specialization
Citations

This map shows the geographic impact of Navid Khan'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 Navid Khan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Navid Khan more than expected).

Fields of papers citing papers by Navid Khan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Navid Khan. 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 Navid Khan. The network helps show where Navid Khan may publish in the future.

Co-authors

The 25 scholars most cited alongside Navid Khan, 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 Navid Khan Line = papers co-authored together Navid Khan links everyone, so they are left out of the graph.

All Works

7 of 7 papers shown
#Work
1 202180
2 201969
3 202062
4 201132
5 202129
6 200824
7 20250

About Navid Khan

Navid Khan is a scholar working on Molecular Biology, Infectious Diseases, Nephrology, Cardiology and Cardiovascular Medicine and Ecology, having authored 7 papers that have together received 296 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (4 papers), Protein purification and stability (2 papers), RNA Interference and Gene Delivery (2 papers), SARS-CoV-2 detection and testing (1 paper), Chronic Kidney Disease and Diabetes (1 paper), Monoclonal and Polyclonal Antibodies Research (1 paper), Bacteriophages and microbial interactions (1 paper) and Cardiomyopathy and Myosin Studies (1 paper). The work is most often cited by research in Genetics (41 citations), Molecular Biology (260 citations), Genetics (61 citations), Cardiology and Cardiovascular Medicine (36 citations) and Rehabilitation (9 citations). Navid Khan has collaborated with scholars based in United States, Italy and Egypt. Frequent co-authors include Craig M. McDonald, Jerry R. Mendell, Linda Lowes, Helen Eliopoulos, Nathalie Goemans, Rachael A. Potter, Eugenio Mercuri, Damon R. Asher, Louise R. Rodino‐Klapac and Jerry R. Mendell. Their work appears in journals such as Journal of Neuromuscular Diseases, Expert Opinion on Biological Therapy, Journal of Chromatography A, BMC Nephrology and Biotechnology and Applied Biochemistry.

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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