John Smit
Impact in
- Endocrinology top 5%
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Microbial Inactivation Methods 3
- Enzyme Production and Characterization 2
-
- Bacterial biofilms and quorum sensing 13
- Biochemical and Structural Characterization 4
- CRISPR and Genetic Engineering 2
- Co-authors
- Hiroshi Nikaido (2 shared papers)Nina Agabian (6 shared papers)Stephen G. Walker (4 shared papers)John F. Nomellini (4 shared papers)Jean D. MacRae (1 shared paper)Wade H. Bingle (2 shared papers)Patricia C. Edwards (1 shared paper)Stephen H. Smith (1 shared paper)
- Journals
- Journal of Bacteriology (13 papers)Canadian Journal of Microbiology (3 papers)Applied and Environmental Microbiology (2 papers)Developmental Biology (1 paper)Analytical Biochemistry (1 paper)
- Partner nations
- CanadaUnited StatesSweden
In The Last Decade
John Smit
27 papers receiving 1.3k citations
Peers
Comparison fields: 5 of 97
- Endocrinology 158
- Molecular Medicine 139
- Biotechnology 225
- Genetics 580
- Ecology 490
Countries citing papers authored by John Smit
This map shows the geographic impact of John Smit'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 John Smit with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John Smit more than expected).
Fields of papers citing papers by John Smit
This network shows the impact of papers produced by John Smit. 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 John Smit. The network helps show where John Smit may publish in the future.
Co-authors
The 25 scholars most cited alongside John Smit, 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 | 1975 | 345 | |
| 2 | 1978 | 136 | |
| 3 | 1992 | 85 | |
| 4 | 1993 | 75 | |
| 5 | 1994 | 72 | |
| 6 | 1981 | 69 | |
| 7 | 1992 | 64 | |
| 8 | 1984 | 63 | |
| 9 | 1982 | 63 | |
| 10 | 1991 | 62 | |
| 11 | 1997 | 57 | |
| 12 | 1988 | 56 | |
| 13 | 1991 | 55 | |
| 14 | 1997 | 45 | |
| 15 | 1991 | 43 | |
| 16 | 1996 | 38 | |
| 17 | 2010 | 33 | |
| 18 | 1990 | 32 | |
| 19 | 2000 | 22 | |
| 20 | 1986 | 21 |
About John Smit
John Smit is a scholar working on Biotechnology, Molecular Biology, Genetics, Ecology and Molecular Medicine, having authored 28 papers that have together received 1.5k indexed citations. Recurring topics across this work include Bacterial biofilms and quorum sensing (13 papers), Bacterial Genetics and Biotechnology (11 papers), Bacteriophages and microbial interactions (7 papers), Biochemical and Structural Characterization (4 papers), Antibiotic Resistance in Bacteria (3 papers), Microbial Inactivation Methods (3 papers), CRISPR and Genetic Engineering (2 papers) and Enzyme Production and Characterization (2 papers). The work is most often cited by research in Endocrinology (158 citations), Molecular Medicine (139 citations), Biotechnology (225 citations), Genetics (580 citations) and Ecology (490 citations). John Smit has collaborated with scholars based in Canada, United States and Sweden. Frequent co-authors include Hiroshi Nikaido, Nina Agabian, Stephen G. Walker, John F. Nomellini, Jean D. MacRae, Wade H. Bingle, Patricia C. Edwards, Stephen H. Smith, David A. Stahl and James Fisher. Their work appears in journals such as Journal of Bacteriology, Canadian Journal of Microbiology, Applied and Environmental Microbiology, Developmental Biology 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.