L.‐K. Ng
Impact in
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria
- Endocrinology top 2%
Papers in
- Food Science 22
- Salmonella and Campylobacter epidemiology 16
- Food Safety and Hygiene 7
- Co-authors
- M. R. Mulvey (2 shared papers)Michelle J. Alfa (1 shared paper)Irene Martín (1 shared paper)Michael E. Stiles (14 shared papers)Diane E. Taylor (8 shared papers)Jeff Farber (2 shared papers)Céline Nadon (4 shared papers)Richard Sherburne (1 shared paper)
- Journals
- Journal of Clinical Microbiology (9 papers)Applied and Environmental Microbiology (5 papers)Journal of Food Protection (4 papers)Epidemiology and Infection (2 papers)Antimicrobial Agents and Chemotherapy (2 papers)
- Partner nations
- CanadaUnited StatesDenmark
In The Last Decade
L.‐K. Ng
36 papers receiving 1.6k citations
L.‐K. Ng's Hit Papers
Peers
Comparison fields: 5 of 87
- Molecular Medicine 436
- Endocrinology 230
- Food Science 749
- Biotechnology 286
- Pollution 374
Countries citing papers authored by L.‐K. Ng
This map shows the geographic impact of L.‐K. Ng'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 L.‐K. Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites L.‐K. Ng more than expected).
Fields of papers citing papers by L.‐K. Ng
This network shows the impact of papers produced by L.‐K. Ng. 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 L.‐K. Ng. The network helps show where L.‐K. Ng may publish in the future.
Co-authors
The 25 scholars most cited alongside L.‐K. Ng, 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 37 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Multiplex PCR for the detection of tetracycline resistant genes Hit paper breakdown → | 2001 | 728 |
| 2 | 2013 | 83 | |
| 3 | 1985 | 77 | |
| 4 | 1985 | 57 | |
| 5 | 1997 | 56 | |
| 6 | 1997 | 53 | |
| 7 | 2006 | 52 | |
| 8 | 2009 | 50 | |
| 9 | 1985 | 47 | |
| 10 | 2007 | 46 | |
| 11 | 1981 | 45 | |
| 12 | 1988 | 36 | |
| 13 | 1981 | 35 | |
| 14 | 2011 | 27 | |
| 15 | 1993 | 21 | |
| 16 | 1995 | 21 | |
| 17 | 1978 | 20 | |
| 18 | 1994 | 20 | |
| 19 | 2009 | 19 | |
| 20 | 1979 | 19 |
About L.‐K. Ng
L.‐K. Ng is a scholar working on Food Science, Molecular Biology, Biotechnology, Infectious Diseases and Ecology, having authored 37 papers that have together received 1.7k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (16 papers), Food Safety and Hygiene (7 papers), Antibiotic Resistance in Bacteria (7 papers), Bacteriophages and microbial interactions (7 papers), Listeria monocytogenes in Food Safety (6 papers), Bacterial Identification and Susceptibility Testing (6 papers), Reproductive tract infections research (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Molecular Medicine (436 citations), Endocrinology (230 citations), Food Science (749 citations), Biotechnology (286 citations) and Pollution (374 citations). L.‐K. Ng has collaborated with scholars based in Canada, United States and Denmark. Frequent co-authors include M. R. Mulvey, Michelle J. Alfa, Irene Martín, Michael E. Stiles, Diane E. Taylor, Jeff Farber, Céline Nadon, Richard Sherburne, H. Lior and Jo‐Anne R. Dillon. Their work appears in journals such as Journal of Clinical Microbiology, Applied and Environmental Microbiology, Journal of Food Protection, Epidemiology and Infection 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.