Stephen C. Bailey

548 citations
12 papers · 479 · h-index 8

Impact in

Papers in

    • DNA and Nucleic Acid Chemistry 2
    • RNA and protein synthesis mechanisms 2
    • Toxin Mechanisms and Immunotoxins 4

Stephen C. Bailey

11 papers receiving 425 citations

Peers

Stephen C. Bailey
Comparison fields: 5 of 69
  • Biotechnology 151
  • Immunology 196
  • Genetics 100
  • Molecular Biology 249
  • Complementary and alternative medicine 28
Replace Ronald S. Goor with:
Ronald S. Goor United States
Hans J. Breter Germany
Hui Gong China
Oleg V. Chernikov Russia
Hiroaki Adachi Japan
Pujarini Dash India
Ranjana Srivastava India
Margaret A. Reed United States
J A Chimera United States
Wallace J. Iglewski United States
Stephen C. Bailey relative to Ronald S. Goor United States Ronald S. Goor's profile →
Citations per field
00.5×12×
Ronald S. Goor · 1×
Citations per year

Countries citing papers authored by Stephen C. Bailey

Since Specialization
Citations

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

Fields of papers citing papers by Stephen C. Bailey

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stephen C. Bailey. 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 Stephen C. Bailey. The network helps show where Stephen C. Bailey may publish in the future.

Co-authors

The 18 scholars most cited alongside Stephen C. Bailey, 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 Stephen C. Bailey Line = papers co-authored together Stephen C. Bailey links everyone, so they are left out of the graph.

All Works

12 of 12 papers shown
#Work
1 1978111
2 200876
3 199565
4 200064
5 199562
6 199946
7 197722
8 200917
9 19776
10 20095
11 19795
12 19890

About Stephen C. Bailey

Stephen C. Bailey is a scholar working on Molecular Biology, Immunology, Biotechnology, Genetics and Pulmonary and Respiratory Medicine, having authored 12 papers that have together received 479 indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (4 papers), Transgenic Plants and Applications (4 papers), Infection Control and Ventilation (2 papers), Inhalation and Respiratory Drug Delivery (2 papers), DNA and Nucleic Acid Chemistry (2 papers), Bacterial Genetics and Biotechnology (2 papers), Bacteriophages and microbial interactions (2 papers) and RNA and protein synthesis mechanisms (2 papers). The work is most often cited by research in Biotechnology (151 citations), Immunology (196 citations), Genetics (100 citations), Molecular Biology (249 citations) and Complementary and alternative medicine (28 citations). Stephen C. Bailey has collaborated with scholars based in United Kingdom and United States. Frequent co-authors include David Apirion, Gareth Griffiths, Paul Rice, Gary Phillips, David G. Upshall, D. G. Upshall, Rosa R. Taylor, Richard W. Titball, Richard J. Thomas and Anthony J. Stagg. Their work appears in journals such as Journal of Bacteriology, Vaccine, Infection and Immunity, Human & Experimental Toxicology and Analytical 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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