Shannon Steele

614 citations
10 papers · 405 · h-index 7

Impact in

    • COVID-19 Clinical Research Studies
    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • Long-Term Effects of COVID-19

Papers in

    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2
    • SARS-CoV-2 detection and testing 1
    • Clinical Laboratory Practices and Quality Control 3
    • Body Composition Measurement Techniques 1

Shannon Steele

9 papers receiving 385 citations

Peers

Shannon Steele
Comparison fields: 5 of 84
  • Infectious Diseases 201
  • Neurology 70
  • Critical Care and Intensive Care Medicine 14
  • Health Informatics 4
  • Obstetrics and Gynecology 17
Replace Javid Azadbakht with:
Javid Azadbakht Iran
Zhiyuan Weng China
Hui Liao China
Richard Vollenberg Germany
Maxime Fauter France
Yanlong Hou China
Murat Seyit Türkiye
Kaihu Xiao China
Vijairam Selvaraj United States
Neda Ghaffari United States
Shannon Steele relative to Javid Azadbakht Iran Javid Azadbakht's profile →
Citations per field
00.5×10×14×
Javid Azadbakht · 1×
Citations per year

Countries citing papers authored by Shannon Steele

Since Specialization
Citations

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

Fields of papers citing papers by Shannon Steele

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 23 scholars most cited alongside Shannon Steele, 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 Shannon Steele Line = papers co-authored together Shannon Steele links everyone, so they are left out of the graph.

All Works

10 of 10 papers shown
#Work
1 2020174
2 2020132
3 202227
4 202122
5 198021
6 202114
7 20236
8 20225
9 20234
10 20230

About Shannon Steele

Shannon Steele is a scholar working on Infectious Diseases, Physiology, Surgery, Molecular Biology and Nephrology, having authored 10 papers that have together received 405 indexed citations. Recurring topics across this work include Clinical Laboratory Practices and Quality Control (3 papers), SARS-CoV-2 and COVID-19 Research (3 papers), COVID-19 Clinical Research Studies (2 papers), Body Composition Measurement Techniques (1 paper), Blood properties and coagulation (1 paper), SARS-CoV-2 detection and testing (1 paper), Hemoglobinopathies and Related Disorders (1 paper) and Blood groups and transfusion (1 paper). The work is most often cited by research in Infectious Diseases (201 citations), Neurology (70 citations), Critical Care and Intensive Care Medicine (14 citations), Health Informatics (4 citations) and Obstetrics and Gynecology (17 citations). Shannon Steele has collaborated with scholars based in Canada, Iran and United States. Frequent co-authors include Khosrow Adeli, Mary Kathryn Bohn, Alexandra Hall, Benjamin Jung, Lusia Sepiashvili, Cheng-Bin Wang, Andrea R. Horvath, Sunil Sethi, David D. Koch and Maurizio Ferrari. Their work appears in journals such as Clinical Chemistry, Clinical Chemistry and Laboratory Medicine (CCLM), Transfusion, Physiology and Journal of Cellular and Molecular Medicine.

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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