Bryan Stevens

1.4k citations
23 papers · 1.1k · h-index 13

Impact in

    • SARS-CoV-2 and COVID-19 Research
    • SARS-CoV-2 detection and testing
    • COVID-19 Clinical Research Studies
    • Antifungal resistance and susceptibility
    • COVID-19 epidemiological studies

Papers in

    • SARS-CoV-2 detection and testing 11
    • SARS-CoV-2 and COVID-19 Research 3
    • COVID-19 Clinical Research Studies 2
    • HIV/AIDS Research and Interventions 2
    • Antifungal resistance and susceptibility 1

Bryan Stevens

22 papers receiving 1.1k citations

Peers

Bryan Stevens
Comparison fields: 5 of 64
  • Infectious Diseases 885
  • Modeling and Simulation 22
  • Immunology 44
  • Clinical Biochemistry 7
  • Epidemiology 46
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Citations per field
00.5×1.5×2×2.3×
Ralf Duerr · 1×
Citations per year

Countries citing papers authored by Bryan Stevens

Since Specialization
Citations

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

Fields of papers citing papers by Bryan Stevens

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 23 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2020348
2 2020191
3 2020102
4 202087
5 202059
6 202347
7 202041
8 202041
9 202136
10 202034
11 201227
12 202026
13 202014
14 202111
15 202010
16 20216
17 20214
18 20172
19 20212
20 20211

About Bryan Stevens

Bryan Stevens is a scholar working on Infectious Diseases, Virology, Microbiology, Physiology and Health Information Management, having authored 23 papers that have together received 1.1k indexed citations. Recurring topics across this work include SARS-CoV-2 detection and testing (11 papers), SARS-CoV-2 and COVID-19 Research (3 papers), Clinical Laboratory Practices and Quality Control (2 papers), COVID-19 Clinical Research Studies (2 papers), HIV/AIDS Research and Interventions (2 papers), Antifungal resistance and susceptibility (1 paper), Autoimmune Neurological Disorders and Treatments (1 paper) and Cytomegalovirus and herpesvirus research (1 paper). The work is most often cited by research in Infectious Diseases (885 citations), Modeling and Simulation (22 citations), Immunology (44 citations), Clinical Biochemistry (7 citations) and Epidemiology (46 citations). Bryan Stevens has collaborated with scholars based in United States, India and Italy. Frequent co-authors include Benjamin A. Pinsky, James L. Zehnder, Catherine Anne Hogan, Malaya Kumar Sahoo, ChunHong Huang, Saurabh Gombar, Fumiko F. Yamamoto, Jason H. Kurzer, Kanagavel Murugesan and Chad A. Rappleye. Their work appears in journals such as Journal of Clinical Virology, Clinical Infectious Diseases, Journal of Clinical Microbiology, Diagnostic Microbiology and Infectious Disease and Clinica Chimica Acta.

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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