M S Strom
Impact in
- Endocrinology top 1%
- Vibrio bacteria research studies
- Escherichia coli research studies
- Molecular Medicine top 5%
Papers in
-
- Biochemical and Structural Characterization 6
- Bacterial biofilms and quorum sensing 4
- Genomics and Phylogenetic Studies 4
- Immunology 13
- Aquaculture disease management and microbiota 12
- Co-authors
- Stephen Lory (9 shared papers)D. Nunn (2 shared papers)Craig A. Evans (1 shared paper)Margo M. Moore (1 shared paper)M. W. Eklund (2 shared papers)F. T. Poysky (2 shared papers)Peter Bergman (1 shared paper)K Johnson (1 shared paper)
- Journals
- Diseases of Aquatic Organisms (7 papers)Journal of Bacteriology (5 papers)Applied and Environmental Microbiology (2 papers)Journal of Biological Chemistry (2 papers)Molecular Biology and Evolution (1 paper)
- Partner nations
- United StatesAustralia
In The Last Decade
M S Strom
28 papers receiving 1.5k citations
Peers
Comparison fields: 5 of 94
- Endocrinology 403
- Molecular Medicine 124
- Microbiology 150
- Genetics 592
- Immunology 263
Countries citing papers authored by M S Strom
This map shows the geographic impact of M S Strom'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 M S Strom with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites M S Strom more than expected).
Fields of papers citing papers by M S Strom
This network shows the impact of papers produced by M S Strom. 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 M S Strom. The network helps show where M S Strom may publish in the future.
Co-authors
The 25 scholars most cited alongside M S Strom, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1993 | 403 | |
| 2 | 1993 | 215 | |
| 3 | 1991 | 127 | |
| 4 | 1991 | 102 | |
| 5 | 1980 | 97 | |
| 6 | 1986 | 89 | |
| 7 | 1987 | 56 | |
| 8 | 2002 | 51 | |
| 9 | 1993 | 48 | |
| 10 | 2003 | 45 | |
| 11 | 2002 | 41 | |
| 12 | 1988 | 40 | |
| 13 | 1988 | 37 | |
| 14 | 1992 | 36 | |
| 15 | 1984 | 34 | |
| 16 | 1997 | 32 | |
| 17 | 2005 | 22 | |
| 18 | 1999 | 22 | |
| 19 | 2007 | 18 | |
| 20 | 1983 | 17 |
About M S Strom
M S Strom is a scholar working on Molecular Biology, Immunology, Endocrinology, Genetics and Nature and Landscape Conservation, having authored 28 papers that have together received 1.6k indexed citations. Recurring topics across this work include Aquaculture disease management and microbiota (12 papers), Vibrio bacteria research studies (8 papers), Bacterial Genetics and Biotechnology (7 papers), Biochemical and Structural Characterization (6 papers), Bacterial biofilms and quorum sensing (4 papers), Genomics and Phylogenetic Studies (4 papers), Fish Ecology and Management Studies (3 papers) and Streptococcal Infections and Treatments (2 papers). The work is most often cited by research in Endocrinology (403 citations), Molecular Medicine (124 citations), Microbiology (150 citations), Genetics (592 citations) and Immunology (263 citations). M S Strom has collaborated with scholars based in United States and Australia. Frequent co-authors include Stephen Lory, D. Nunn, Craig A. Evans, Margo M. Moore, M. W. Eklund, F. T. Poysky, Peter Bergman, K Johnson, Scott E. LaPatra and Sylvia M. Kirov. Their work appears in journals such as Diseases of Aquatic Organisms, Journal of Bacteriology, Applied and Environmental Microbiology, Journal of Biological Chemistry and Molecular Biology and Evolution.
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.