N. Harnett
- Genetics
- Molecular Medicine top 10%
- Molecular Biology
- Infectious Diseases
- Endocrinology top 10%
- Co-authors
- C. KrishnanRobert M. BannatyneCarlton GylesW. Douglas BiggarKi‐Young LeeStephen BrownM PauzéRasik Khakhria
- Topics
- Antibiotic Resistance in Bacteria (6 papers)Salmonella and Campylobacter epidemiology (5 papers)Escherichia coli research studies (5 papers)
- Journals
- Applied and Environmental MicrobiologyThe Journal of Infectious DiseasesAntimicrobial Agents and Chemotherapy
- Partner nations
- CanadaAustraliaUnited States
In The Last Decade
N. Harnett
23 papers receiving 290 citations
Peers
Comparison fields: 5 of 70
- Genetics 83
- Molecular Medicine 72
- Molecular Biology 71
- Infectious Diseases 71
- Endocrinology 57
Countries citing papers authored by N. Harnett
This map shows the geographic impact of N. Harnett'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 N. Harnett with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites N. Harnett more than expected).
Fields of papers citing papers by N. Harnett
This network shows the impact of papers produced by N. Harnett. 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 N. Harnett. The network helps show where N. Harnett may publish in the future.
Co-authorship network of co-authors of N. Harnett
This figure shows the co-authorship network connecting the top 25 collaborators of N. Harnett. A scholar is included among the top collaborators of N. Harnett based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with N. Harnett. N. Harnett is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 14 | |
| 2 | Human isolates of Salmonella Typhimurium DT104 in Ontario. | 4 |
| 3 | 22 | |
| 4 | 8 | |
| 5 | Penicillin-resistant Streptococcus pneumoniae in Ontario, 1987-1995. | 1 |
| 6 | 16 | |
| 7 | 56 | |
| 8 | 3 | |
| 9 | Decreased susceptibility of Neisseria gonorrhoeae to fluoroquinolones--Ontario, 1992-1994. | 4 |
| 10 | 16 | |
| 11 | 7 | |
| 12 | Increasing resistance to antimicrobial agents among isolates of Neisseria gonorrhoeae in Ontario: trends 1989-1990. | 2 |
| 13 | 60 | |
| 14 | Antimicrobial susceptibilities of Shigella species isolated in Ontario in 1990. | 4 |
| 15 | 3 | |
| 16 | Enterotoxin plasmids in bovine and porcine enterotoxigenic Escherichia coli of O groups 9, 20, 64 and 101. | 12 |
| 17 | 3 | |
| 18 | 8 | |
| 19 | 40 | |
| 20 | 4 |
About N. Harnett
N. Harnett is a scholar working on Endocrinology, Molecular Medicine and Microbiology, having authored 23 papers that have together received 328 indexed citations. Recurring topics across this work include Antibiotic Resistance in Bacteria (6 papers), Salmonella and Campylobacter epidemiology (5 papers) and Escherichia coli research studies (5 papers). The work is most often cited by research in Molecular Medicine (72 citations), Endocrinology (57 citations) and Microbiology (42 citations). N. Harnett has collaborated with scholars based in Canada, Australia and United States. Frequent co-authors include C. Krishnan, Robert M. Bannatyne, Carlton Gyles, W. Douglas Biggar, Ki‐Young Lee, Stephen Brown, M Pauzé, Rasik Khakhria, Sarah Alexander and Sarah M. McLeod. Their work appears in journals such as Applied and Environmental Microbiology, The Journal of Infectious Diseases and Antimicrobial Agents and Chemotherapy.
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.