Brady M. Youngquist

435 citations
9 papers · 227 · h-index 5

Impact in

    • MicroRNA in disease regulation
    • Advanced biosensing and bioanalysis techniques
    • Extracellular vesicles in disease
    • CRISPR and Genetic Engineering
    • RNA Interference and Gene Delivery

Papers in

    • Mycobacterium research and diagnosis 3
    • Pneumocystis jirovecii pneumonia detection and treatment 1
    • SARS-CoV-2 and COVID-19 Research 3
    • Tuberculosis Research and Epidemiology 2
    • SARS-CoV-2 detection and testing 2

Brady M. Youngquist

8 papers receiving 223 citations

Peers

Brady M. Youngquist
Comparison fields: 5 of 54
  • Cancer Research 39
  • Molecular Biology 159
  • Infectious Diseases 40
  • Biomedical Engineering 75
  • Hepatology 9
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Rachel Johns United States
Shuwei Shen China
Guojun Liu China
Pétra Paulasova Czechia
Pattamawadee Yanatatsaneejit Thailand
Xiang Zhu China
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Guangcheng Luo China
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Citations per field
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Citations per year

Countries citing papers authored by Brady M. Youngquist

Since Specialization
Citations

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

Fields of papers citing papers by Brady M. Youngquist

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

9 of 9 papers shown
#Work
1 2021141
2 201933
3 202221
4 202516
5 20248
6 20234
7 20223
8 20251
9 20260

About Brady M. Youngquist

Brady M. Youngquist is a scholar working on Epidemiology, Infectious Diseases, Molecular Biology, Organic Chemistry and Public Health, Environmental and Occupational Health, having authored 9 papers that have together received 227 indexed citations. Recurring topics across this work include Mycobacterium research and diagnosis (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Tuberculosis Research and Epidemiology (2 papers), SARS-CoV-2 detection and testing (2 papers), Extracellular vesicles in disease (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper) and Mosquito-borne diseases and control (1 paper). The work is most often cited by research in Cancer Research (39 citations), Molecular Biology (159 citations), Infectious Diseases (40 citations), Biomedical Engineering (75 citations) and Hepatology (9 citations). Brady M. Youngquist has collaborated with scholars based in United States, China and Germany. Frequent co-authors include Christopher J. Lyon, Bo Ning, Tony Hu, John W. Scott, Alex Niu, Kevin J. Zwezdaryk, Zhen Huang, Chad J. Roy, Nakhle S. Saba and Jing Cao. Their work appears in journals such as Emerging Microbes & Infections, American Journal of Respiratory and Critical Care Medicine, Cancers, Antiviral Research and Nature Protocols.

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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