Shaun Steele
Impact in
- Endocrinology top 5%
- Vibrio bacteria research studies
- Parasitology top 10%
Papers in
-
- Bacillus and Francisella bacterial research 10
- CRISPR and Genetic Engineering 1
-
- Viral Infections and Outbreaks Research 4
- Co-authors
- Thomas H. Kawula (12 shared papers)Sharon Taft-Benz (6 shared papers)Nathaniel J. Moorman (2 shared papers)Benjamin Ziehr (2 shared papers)Lauren C. Radlinski (2 shared papers)Caylin G. Winchell (1 shared paper)Daniel E. Voth (1 shared paper)Jeffrey A. Frelinger (3 shared papers)
- Journals
- Infection and Immunity (2 papers)PLoS Pathogens (2 papers)eLife (2 papers)Cell Host & Microbe (1 paper)mBio (1 paper)
- Partner nations
- United StatesUnited Kingdom
In The Last Decade
Shaun Steele
18 papers receiving 502 citations
Peers
Comparison fields: 5 of 69
- Endocrinology 89
- Parasitology 41
- Immunology 127
- Physiology 25
- Virology 23
Countries citing papers authored by Shaun Steele
This map shows the geographic impact of Shaun 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 Shaun Steele with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Shaun Steele more than expected).
Fields of papers citing papers by Shaun Steele
This network shows the impact of papers produced by Shaun 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 Shaun Steele. The network helps show where Shaun Steele may publish in the future.
Co-authors
The 25 scholars most cited alongside Shaun Steele, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 107 | |
| 2 | 2016 | 61 | |
| 3 | 2013 | 52 | |
| 4 | 2015 | 51 | |
| 5 | 2018 | 50 | |
| 6 | 2015 | 35 | |
| 7 | 2014 | 30 | |
| 8 | 2018 | 21 | |
| 9 | 2016 | 18 | |
| 10 | 2019 | 18 | |
| 11 | 2015 | 16 | |
| 12 | Application of molecular techniques to identify bacteria isolated from the leather industry | 2006 | 14 |
| 13 | 2012 | 13 | |
| 14 | 2015 | 10 | |
| 15 | 2014 | 7 | |
| 16 | 2014 | 3 | |
| 17 | 2024 | 1 | |
| 18 | 2019 | 1 | |
| 19 | 2026 | 0 |
About Shaun Steele
Shaun Steele is a scholar working on Molecular Biology, Infectious Diseases, Ecology, Epidemiology and Genetics, having authored 19 papers that have together received 508 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (10 papers), Vibrio bacteria research studies (4 papers), Viral Infections and Outbreaks Research (4 papers), Autophagy in Disease and Therapy (4 papers), Bacteriophages and microbial interactions (4 papers), Bacterial Genetics and Biotechnology (3 papers), Immunotherapy and Immune Responses (2 papers) and CRISPR and Genetic Engineering (1 paper). The work is most often cited by research in Endocrinology (89 citations), Parasitology (41 citations), Immunology (127 citations), Physiology (25 citations) and Virology (23 citations). Shaun Steele has collaborated with scholars based in United States and United Kingdom. Frequent co-authors include Thomas H. Kawula, Sharon Taft-Benz, Nathaniel J. Moorman, Benjamin Ziehr, Lauren C. Radlinski, Caylin G. Winchell, Daniel E. Voth, Jeffrey A. Frelinger, William A. Petri and Hannah E. Ledvina. Their work appears in journals such as Infection and Immunity, PLoS Pathogens, eLife, Cell Host & Microbe and mBio.
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.