Wei Yee Wee

764 citations
35 papers · 447 · h-index 11

Impact in

Papers in

    • Genomics and Phylogenetic Studies 16
    • Ginseng Biological Effects and Applications 3
    • Mycobacterium research and diagnosis 15

Wei Yee Wee

34 papers receiving 439 citations

Peers

Wei Yee Wee
Comparison fields: 5 of 108
  • Microbiology 11
  • Small Animals 58
  • Infectious Diseases 126
  • Periodontics 28
  • Epidemiology 166
Replace Guat Jah Wong with:
Guat Jah Wong Malaysia
Teun Boekhout Netherlands
B.C. Millar United Kingdom
Saham Ansari Iran
J Eisner United States
Caitlin H. Kowalski United States
Nina Gouba France
Robert C. Pritchard Australia
Byeong-Chul Kang South Korea
Wei Yee Wee relative to Guat Jah Wong Malaysia Guat Jah Wong's profile →
Citations per field
00.5×3.7×
Guat Jah Wong · 1×
Citations per year

Countries citing papers authored by Wei Yee Wee

Since Specialization
Citations

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

Fields of papers citing papers by Wei Yee Wee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wei Yee Wee. 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 Wei Yee Wee. The network helps show where Wei Yee Wee may publish in the future.

Co-authors

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

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2013134
2 201461
3 201932
4 201731
5 201622
6 201612
7 201311
8 201711
9 201510
10 201510
11 201510
12 20209
13 20209
14 20147
15 20167
16 20157
17 20126
18 20146
19 20126
20 20136

About Wei Yee Wee

Wei Yee Wee is a scholar working on Molecular Biology, Epidemiology, Infectious Diseases, Small Animals and Plant Science, having authored 35 papers that have together received 447 indexed citations. Recurring topics across this work include Genomics and Phylogenetic Studies (16 papers), Mycobacterium research and diagnosis (15 papers), Infectious Diseases and Mycology (7 papers), Bacteriophages and microbial interactions (4 papers), Tuberculosis Research and Epidemiology (4 papers), Ginseng Biological Effects and Applications (3 papers), Plant-Microbe Interactions and Immunity (2 papers) and GABA and Rice Research (2 papers). The work is most often cited by research in Microbiology (11 citations), Small Animals (58 citations), Infectious Diseases (126 citations), Periodontics (28 citations) and Epidemiology (166 citations). Wei Yee Wee has collaborated with scholars based in Malaysia, United Kingdom and China. Frequent co-authors include Siew Woh Choo, Guat Jah Wong, Yun Fong Ngeow, Avirup Dutta, Hamed Heydari, Ranjeev Hari, Mia Yang Ang, Jingfa Xiao, Nicholas S. Jakubovics and Yongbing Zhao. Their work appears in journals such as PLoS ONE, Scientific Reports, BMC Genomics, Journal of Bacteriology and Database.

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.

Explore authors with similar magnitude of impact