C.W. Tan

662 citations
21 papers · 527 · h-index 10

Impact in

Papers in

    • Salmonella and Campylobacter epidemiology 12
    • Food Safety and Hygiene 4
    • Essential Oils and Antimicrobial Activity 3
    • Identification and Quantification in Food 5

C.W. Tan

20 papers receiving 514 citations

Peers

C.W. Tan
Comparison fields: 5 of 56
  • Endocrinology 212
  • Molecular Medicine 66
  • Food Science 245
  • Immunology 156
  • Biotechnology 67
Replace Wei San Chang with:
Wei San Chang Malaysia
Kara Cooper United States
Said K. Abolghait Egypt
Mustafa Akçelik Türkiye
Cristhiane Moura Falavina dos Reis Brazil
Blake A. Dinsmore United States
Rasha Elkenany Egypt
Chai Fung Pui Malaysia
Matt Bawn United Kingdom
Geovana B. Michael Germany
C.W. Tan relative to Wei San Chang Malaysia Wei San Chang's profile →
Citations per field
00.5×1.5×2.2×
Wei San Chang · 1×
Citations per year

Countries citing papers authored by C.W. Tan

Since Specialization
Citations

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

Fields of papers citing papers by C.W. Tan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by C.W. Tan. 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 C.W. Tan. The network helps show where C.W. Tan may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 21 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201899
2 202095
3 201772
4 201666
5 202149
6 202024
7 201823
8 201922
9 201722
10
Antimicrobial resistance of Listeria monocytogenes and Salmonella Enteritidis isolated from vegetable farms and retail markets in Malaysia
201716
11 20188
12 20187
13 20197
14 20186
15 20203
16 20193
17 20232
18 20211
19 20241
20 20191

About C.W. Tan

C.W. Tan is a scholar working on Food Science, Molecular Biology, Biotechnology, Endocrinology and Ecology, having authored 21 papers that have together received 527 indexed citations. Recurring topics across this work include Salmonella and Campylobacter epidemiology (12 papers), Vibrio bacteria research studies (6 papers), Listeria monocytogenes in Food Safety (6 papers), Identification and Quantification in Food (5 papers), Bacteriophages and microbial interactions (5 papers), Food Safety and Hygiene (4 papers), Essential Oils and Antimicrobial Activity (3 papers) and Aquaculture disease management and microbiota (3 papers). The work is most often cited by research in Endocrinology (212 citations), Molecular Medicine (66 citations), Food Science (245 citations), Immunology (156 citations) and Biotechnology (67 citations). C.W. Tan has collaborated with scholars based in Malaysia, Sri Lanka and Japan. Frequent co-authors include Tze Young Thung, Son Radu, Yaya Rukayadi, C.H. Kuan, Che Wan Jasimah Wan Mohamed Radzi, Wei San Chang, Yuet Ying Loo, Mitsuaki Nishibuchi, Hanan Hasan and Hirofumi Hara. Their work appears in journals such as Frontiers in Microbiology, LWT, Journal of Food Safety, Food Control and Saudi Journal of Biological Sciences.

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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