Stephen Michell
Impact in
- Infectious Diseases top 5%
- Tuberculosis Research and Epidemiology
- Endocrinology top 10%
- Vibrio bacteria research studies
Papers in
-
- Bacillus and Francisella bacterial research 8
- Genetics 8
- Bacterial Genetics and Biotechnology 6
- Yersinia bacterium, plague, ectoparasites research 3
- Co-authors
- R. Glyn Hewinson (4 shared papers)Petra C. F. Oyston (7 shared papers)Richard W. Titball (7 shared papers)William R. Jacobs (2 shared papers)Ruth A. McAdam (1 shared paper)Wayne Russell (1 shared paper)Sean S. Aiken (2 shared papers)Hannah Florance (1 shared paper)
- Journals
- Journal of Medical Microbiology (3 papers)Molecular Microbiology (2 papers)PLoS ONE (2 papers)Journal of Biological Chemistry (2 papers)Infection and Immunity (1 paper)
- Partner nations
- United KingdomUnited StatesCanada
In The Last Decade
Stephen Michell
19 papers receiving 692 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 237
- Endocrinology 65
- Virology 52
- Genetics 229
- Molecular Biology 431
Countries citing papers authored by Stephen Michell
This map shows the geographic impact of Stephen Michell'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 Michell with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stephen Michell more than expected).
Fields of papers citing papers by Stephen Michell
This network shows the impact of papers produced by Stephen Michell. 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 Michell. The network helps show where Stephen Michell may publish in the future.
Co-authors
The 25 scholars most cited alongside Stephen Michell, 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 | 1996 | 98 | |
| 2 | 2006 | 84 | |
| 3 | 2006 | 83 | |
| 4 | 2014 | 83 | |
| 5 | 2003 | 72 | |
| 6 | 2002 | 55 | |
| 7 | 2006 | 40 | |
| 8 | 2010 | 30 | |
| 9 | 2011 | 26 | |
| 10 | 2016 | 25 | |
| 11 | 1999 | 22 | |
| 12 | 2019 | 19 | |
| 13 | 2008 | 19 | |
| 14 | 2010 | 18 | |
| 15 | 2020 | 11 | |
| 16 | 2024 | 10 | |
| 17 | 2022 | 5 | |
| 18 | 2011 | 5 | |
| 19 | 2007 | 1 | |
| 20 | 2025 | 0 |
About Stephen Michell
Stephen Michell is a scholar working on Molecular Biology, Genetics, Ecology, Epidemiology and Infectious Diseases, having authored 20 papers that have together received 706 indexed citations. Recurring topics across this work include Bacillus and Francisella bacterial research (8 papers), Bacterial Genetics and Biotechnology (6 papers), Bacteriophages and microbial interactions (6 papers), Tuberculosis Research and Epidemiology (4 papers), Mycobacterium research and diagnosis (4 papers), Yersinia bacterium, plague, ectoparasites research (3 papers), Vibrio bacteria research studies (2 papers) and Aquaculture disease management and microbiota (2 papers). The work is most often cited by research in Infectious Diseases (237 citations), Endocrinology (65 citations), Virology (52 citations), Genetics (229 citations) and Molecular Biology (431 citations). Stephen Michell has collaborated with scholars based in United Kingdom, United States and Canada. Frequent co-authors include R. Glyn Hewinson, Petra C. F. Oyston, Richard W. Titball, William R. Jacobs, Ruth A. McAdam, Wayne Russell, Sean S. Aiken, Hannah Florance, Matthew T. Robinson and Joann L. Prior. Their work appears in journals such as Journal of Medical Microbiology, Molecular Microbiology, PLoS ONE, Journal of Biological Chemistry and Infection and Immunity.
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.