Kwai Lin Thong

7.7k citations
251 papers · 6.2k indexed · h-index 44

Kwai Lin Thong

246 papers receiving 5.9k citations

Peers

Kwai Lin Thong
Comparison fields: 5 of 170
  • Endocrinology 1.3k
  • Molecular Medicine 975
  • Food Science 2.1k
  • Infectious Diseases 1.2k
  • Biotechnology 516
Replace Roberto M. La Ragione with:
Roberto M. La Ragione United Kingdom
Shigeyuki Hamada Japan
Christopher G. Dowson United Kingdom
Jean‐Marc Ghigo France
Andrej Weintraub Sweden
Peter Østrup Jensen Denmark
Peter Rådström Sweden
Claus Moser Denmark
E H Beachey United States
Reza Ranjbar Iran
Kwai Lin Thong relative to Roberto M. La Ragione United Kingdom Roberto M. La Ragione's profile →
Citations per field
00.5×1.5×
Roberto M. La Ragione · 1×
Citations per year

Countries citing papers authored by Kwai Lin Thong

Since Specialization
Citations

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

Fields of papers citing papers by Kwai Lin Thong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kwai Lin Thong. 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 Kwai Lin Thong. The network helps show where Kwai Lin Thong may publish in the future.

Co-authorship network

The 25 scholars most cited alongside Kwai Lin Thong, 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 Kwai Lin Thong Line = papers co-authored together Kwai Lin Thong links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 202115
2 201910
3 2019121
4 201710
5 201769
6 201642
7 201673
8 201640
9
Review Article: A trends of Salmonella and antibiotic resistance
20146
10 201310
11 20121
12
Genotypic and phenotypic differentiation of Salmonella enterica serovar Paratyphi B in Malaysia.
20116
13 201026
14 200978
15 200813
16 200313
17
Rapid pulsed field gel electrophoresis method for Streptococcus spp.
20015
18
Genomic analysis of salmonella species based on 16S rRNA gene sequences
20000
19 200029
20
Clinical significance of a high mean corpuscular volume in nonanemic patients.
197713

About Kwai Lin Thong

Kwai Lin Thong is a scholar working on Endocrinology, Molecular Medicine and Food Science, having authored 251 papers that have together received 6.2k indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (87 papers), Vibrio bacteria research studies (57 papers), Antibiotic Resistance in Bacteria (50 papers), Bacteriophages and microbial interactions (43 papers), Bacterial biofilms and quorum sensing (30 papers), Aquaculture disease management and microbiota (26 papers), Antimicrobial Resistance in Staphylococcus (26 papers) and Bacterial Identification and Susceptibility Testing (19 papers). The work is most often cited by research in Endocrinology (1.3k citations), Molecular Medicine (975 citations) and Food Science (2.1k citations). Kwai Lin Thong has collaborated with scholars based in Malaysia, United States and United Kingdom. Frequent co-authors include Cindy Shuan Ju Teh, Lay Ching Chai, Bey Fen Leo, Fatimah Ibrahim, S D Puthucheary, T. Pang, Hossein Jamali, Siti Nursheena Mohd Zain, Kek Heng Chua and Jimmy Nelson Appaturi. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

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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