Kim S. Wise
Impact in
- Microbiology top 0.1%
- Microbial infections and disease research
- Immunology top 5%
- Aquaculture disease management and microbiota
Papers in
- Microbiology 55
- Microbial infections and disease research 55
- Ecology 29
- Bacteriophages and microbial interactions 29
- Co-authors
- Renate Rosengarten (6 shared papers)Robyn Watson-McKown (8 shared papers)Patty Theiss (5 shared papers)Michael J. Calcutt (8 shared papers)Christine Citti (3 shared papers)David Yogev (5 shared papers)Mark A. McIntosh (9 shared papers)John I. Glass (11 shared papers)
- Journals
- Infection and Immunity (18 papers)Journal of Bacteriology (12 papers)Molecular Microbiology (6 papers)Advances in experimental medicine and biology (3 papers)Cell (2 papers)
- Partner nations
- United StatesGermanyBrazil
In The Last Decade
Kim S. Wise
77 papers receiving 2.4k citations
Peers
Comparison fields: 5 of 100
- Microbiology 1.6k
- Immunology 671
- Ecology 835
- Parasitology 143
- Epidemiology 503
Countries citing papers authored by Kim S. Wise
This map shows the geographic impact of Kim S. Wise'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 Kim S. Wise with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kim S. Wise more than expected).
Fields of papers citing papers by Kim S. Wise
This network shows the impact of papers produced by Kim S. Wise. 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 Kim S. Wise. The network helps show where Kim S. Wise may publish in the future.
Co-authors
The 25 scholars most cited alongside Kim S. Wise, 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 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 1991 | 152 | |
| 2 | 1990 | 141 | |
| 3 | 2019 | 108 | |
| 4 | 1993 | 91 | |
| 5 | 2022 | 90 | |
| 6 | 1991 | 88 | |
| 7 | 2010 | 83 | |
| 8 | 2021 | 80 | |
| 9 | 1996 | 80 | |
| 10 | 1997 | 65 | |
| 11 | 1987 | 63 | |
| 12 | 1999 | 60 | |
| 13 | 2017 | 54 | |
| 14 | 1997 | 51 | |
| 15 | 1988 | 51 | |
| 16 | 1997 | 50 | |
| 17 | 1983 | 49 | |
| 18 | 1978 | 48 | |
| 19 | 1995 | 48 | |
| 20 | 1987 | 47 |
About Kim S. Wise
Kim S. Wise is a scholar working on Microbiology, Ecology, Immunology, Molecular Biology and Epidemiology, having authored 77 papers that have together received 2.5k indexed citations. Recurring topics across this work include Microbial infections and disease research (55 papers), Bacteriophages and microbial interactions (29 papers), Aquaculture disease management and microbiota (20 papers), Herpesvirus Infections and Treatments (11 papers), Streptococcal Infections and Treatments (9 papers), Toxoplasma gondii Research Studies (8 papers), Monoclonal and Polyclonal Antibodies Research (7 papers) and Genomics and Phylogenetic Studies (7 papers). The work is most often cited by research in Microbiology (1.6k citations), Immunology (671 citations), Ecology (835 citations), Parasitology (143 citations) and Epidemiology (503 citations). Kim S. Wise has collaborated with scholars based in United States, Germany and Brazil. Frequent co-authors include Renate Rosengarten, Robyn Watson-McKown, Patty Theiss, Michael J. Calcutt, Christine Citti, David Yogev, Mark A. McIntosh, John I. Glass, Mireille Boyer and Rose Watson. Their work appears in journals such as Infection and Immunity, Journal of Bacteriology, Molecular Microbiology, Advances in experimental medicine and biology and Cell.
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.