Lai-King Ng

1.9k citations
46 papers · 1.4k · h-index 22

Impact in

    • Escherichia coli research studies
    • Vibrio bacteria research studies
    • Reproductive tract infections research
    • Bacterial Infections and Vaccines

Papers in

    • Salmonella and Campylobacter epidemiology 22
    • Escherichia coli research studies 7
    • Vibrio bacteria research studies 6

Lai-King Ng

45 papers receiving 1.4k citations

Peers

Lai-King Ng
Comparison fields: 5 of 89
  • Endocrinology 360
  • Microbiology 324
  • Molecular Medicine 165
  • Food Science 599
  • Biotechnology 158
Replace Aleisha Reimer with:
Aleisha Reimer Canada
Remigio Martínez Spain
James L. Beebe United States
M. J. Pickett United States
Sadeeq ur Rahman Pakistan
Tariq Ali China
Gábor Kardos Hungary
Prerak Desai United States
Gabriele Blum–Oehler Germany
Changyun Ye China
Lai-King Ng relative to Aleisha Reimer Canada Aleisha Reimer's profile →
Citations per field
00.5×3.3×
Aleisha Reimer · 1×
Citations per year

Countries citing papers authored by Lai-King Ng

Since Specialization
Citations

This map shows the geographic impact of Lai-King 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 Lai-King Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai-King Ng more than expected).

Fields of papers citing papers by Lai-King Ng

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lai-King 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 Lai-King Ng. The network helps show where Lai-King Ng may publish in the future.

Co-authors

The 25 scholars most cited alongside Lai-King Ng, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Lai-King Ng Line = papers co-authored together Lai-King Ng links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 46 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2006135
2 2002131
3 2000119
4 2002112
5 198772
6 200569
7 200667
8 200052
9 200251
10 201150
11 200047
12 200237
13 200432
14 200631
15 200731
16 200831
17 200629
18 200227
19 200727
20 200822

About Lai-King Ng

Lai-King Ng is a scholar working on Food Science, Endocrinology, Infectious Diseases, Microbiology and Ecology, having authored 46 papers that have together received 1.4k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (22 papers), Reproductive tract infections research (10 papers), Viral gastroenteritis research and epidemiology (9 papers), Bacterial Infections and Vaccines (7 papers), Escherichia coli research studies (7 papers), Bacteriophages and microbial interactions (7 papers), Vibrio bacteria research studies (6 papers) and Antibiotic Resistance in Bacteria (5 papers). The work is most often cited by research in Endocrinology (360 citations), Microbiology (324 citations), Molecular Medicine (165 citations), Food Science (599 citations) and Biotechnology (158 citations). Lai-King Ng has collaborated with scholars based in Canada, United States and Chile. Frequent co-authors include Irene Martín, Clifford G. Clark, Louis Bryden, Michael R. Mulvey, David A. Boyd, Geoffrey A. Peters, Diane E. Taylor, Matthew W. Gilmour, Dobryan M. Tracz and Norma Binsztein. Their work appears in journals such as Journal of Clinical Microbiology, Canadian Journal of Microbiology, Sexually Transmitted Diseases, BMC Microbiology and Journal of Medical Microbiology.

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.

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