J. Naidoo
Impact in
- Clinical Biochemistry top 2%
- Bacterial Identification and Susceptibility Testing
- Infectious Diseases top 5%
- Antimicrobial Resistance in Staphylococcus
Papers in
-
- Antimicrobial Resistance in Staphylococcus 11
-
- Bacterial biofilms and quorum sensing 4
- Co-authors
- W. C. Noble (5 shared papers)Neil Woodford (2 shared papers)R.C. George (2 shared papers)Alan P. Johnson (2 shared papers)A.H.C. Uttley (1 shared paper)J Heptonstall (1 shared paper)C.H. Collins (1 shared paper)Donald A. Morrison (1 shared paper)
- Journals
- Epidemiology and Infection (2 papers)Journal of Medical Microbiology (2 papers)The Journal of Infectious Diseases (1 paper)Planta Medica (1 paper)Journal of Clinical Pathology (1 paper)
- Partner nations
- United KingdomNepalThailand
In The Last Decade
J. Naidoo
16 papers receiving 587 citations
Peers
Comparison fields: 5 of 60
- Clinical Biochemistry 202
- Infectious Diseases 414
- Molecular Medicine 74
- Applied Microbiology and Biotechnology 17
- Microbiology 51
Countries citing papers authored by J. Naidoo
This map shows the geographic impact of J. Naidoo'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 J. Naidoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Naidoo more than expected).
Fields of papers citing papers by J. Naidoo
This network shows the impact of papers produced by J. Naidoo. 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 J. Naidoo. The network helps show where J. Naidoo may publish in the future.
Co-authors
The 25 scholars most cited alongside J. Naidoo, 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 | 1989 | 279 | |
| 2 | 1988 | 52 | |
| 3 | 1994 | 44 | |
| 4 | 1978 | 42 | |
| 5 | 1987 | 34 | |
| 6 | 1994 | 26 | |
| 7 | 1986 | 25 | |
| 8 | 1989 | 23 | |
| 9 | 1986 | 23 | |
| 10 | 1995 | 21 | |
| 11 | 2014 | 20 | |
| 12 | 1984 | 18 | |
| 13 | 1978 | 12 | |
| 14 | 1987 | 10 | |
| 15 | Some effects of plasmids coding for antibiotic resistance on the virulence of Staphylococcus aureus. | 1985 | 8 |
| 16 | 1981 | 6 |
About J. Naidoo
J. Naidoo is a scholar working on Infectious Diseases, Molecular Biology, Epidemiology, Clinical Biochemistry and Public Health, Environmental and Occupational Health, having authored 16 papers that have together received 643 indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (11 papers), Bacterial biofilms and quorum sensing (4 papers), Streptococcal Infections and Treatments (3 papers), Bacterial Identification and Susceptibility Testing (3 papers), Probiotics and Fermented Foods (3 papers), Neonatal and Maternal Infections (2 papers), Antibiotics Pharmacokinetics and Efficacy (2 papers) and Nail Diseases and Treatments (2 papers). The work is most often cited by research in Clinical Biochemistry (202 citations), Infectious Diseases (414 citations), Molecular Medicine (74 citations), Applied Microbiology and Biotechnology (17 citations) and Microbiology (51 citations). J. Naidoo has collaborated with scholars based in United Kingdom, Nepal and Thailand. Frequent co-authors include W. C. Noble, Neil Woodford, R.C. George, Alan P. Johnson, A.H.C. Uttley, J Heptonstall, C.H. Collins, Donald A. Morrison, E. M. Cooke and Carolyn Jones. Their work appears in journals such as Epidemiology and Infection, Journal of Medical Microbiology, The Journal of Infectious Diseases, Planta Medica and Journal of Clinical Pathology.
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.