Brent M. Fall

574 citations
35 papers · 443 · h-index 9

Impact in

    • Muscle Physiology and Disorders
    • CRISPR and Genetic Engineering
    • Pluripotent Stem Cells Research
    • RNA Interference and Gene Delivery
    • Virus-based gene therapy research

Papers in

    • Soft tissue tumor case studies 2
    • Diagnosis and treatment of tuberculosis 3

Brent M. Fall

33 papers receiving 434 citations

Peers

Brent M. Fall
Comparison fields: 5 of 66
  • Molecular Biology 280
  • Genetics 103
  • Aging 6
  • Rehabilitation 20
  • Nephrology 20
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Aaron Fleming United Kingdom
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Citations per year

Countries citing papers authored by Brent M. Fall

Since Specialization
Citations

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

Fields of papers citing papers by Brent M. Fall

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Brent M. Fall. 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 Brent M. Fall. The network helps show where Brent M. Fall may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200577
2 200858
3 200958
4 201648
5 200644
6 200824
7
Li, S, Kimura, E, Fall, BM, Reyes, M, Angello, JC, Welikson, R et al.. Stable transduction of myogenic cells with lentiviral vectors expressing a minidystrophin. Gene Ther 12: 1099-1108
200521
8 201511
9 201811
10 20119
11 20159
12 20168
13 20127
14 20177
15 20136
16 20105
17 20135
18 20145
19
[Tumor seeding of the abdominal wall after fine needle cytologic puncture of the liver. Apropos of a case].
19954
20 20124

About Brent M. Fall

Brent M. Fall is a scholar working on Rheumatology, Surgery, Genetics, Endocrinology and Urology, having authored 35 papers that have together received 443 indexed citations. Recurring topics across this work include Muscle Physiology and Disorders (5 papers), Virus-based gene therapy research (4 papers), Genomics and Phylogenetic Studies (3 papers), Diagnosis and treatment of tuberculosis (3 papers), Appendicitis Diagnosis and Management (3 papers), Gallbladder and Bile Duct Disorders (2 papers), Soft tissue tumor case studies (2 papers) and Viral Infectious Diseases and Gene Expression in Insects (2 papers). The work is most often cited by research in Molecular Biology (280 citations), Genetics (103 citations), Aging (6 citations), Rehabilitation (20 citations) and Nephrology (20 citations). Brent M. Fall has collaborated with scholars based in Senegal, France and United States. Frequent co-authors include En Kimura, Jeffrey S. Chamberlain, Morayma Reyes, John C. Angello, Sheng Li, Paul Gregorevic, Robert E. Welikson, Stephen D. Hauschka, Miki Haraguchi and Sheng Li. Their work appears in journals such as Human Molecular Genetics, Molecular Therapy, Gene Therapy, Clinical & Experimental Immunology and Molecular Genetics and Metabolism.

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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