Yee Leng Yap

822 citations
20 papers · 603 indexed · h-index 13
Topics
SARS-CoV-2 and COVID-19 Research (7 papers)Computational Drug Discovery Methods (3 papers)Cancer, Lipids, and Metabolism (3 papers)
Partner nations
Hong KongSingaporeFrance

In The Last Decade

Yee Leng Yap

20 papers receiving 582 citations

Peers

Yee Leng Yap
Comparison fields: 5 of 87
  • Molecular Biology 275
  • Infectious Diseases 153
  • Biochemistry 143
  • Cancer Research 97
  • Organic Chemistry 76
Replace Chi Chun Wong with:
Chi Chun Wong United Kingdom
Juan J. Martínez‐Irujo Spain
Abhilasha Sharma India
Onur Bender Türkiye
Madhu Cholenahalli Lingaraju India
Rackhyun Park South Korea
Beixian Zhou China
Matthew L. Danielson United States
Melissa A. Vargo United States
Francesca Alessandra Ambrosio Italy
Yee Leng Yap relative to Chi Chun Wong United Kingdom Chi Chun Wong's profile →
Citations per field
00.5×1.6×
Chi Chun Wong · 1×
Citations per year

Countries citing papers authored by Yee Leng Yap

Since Specialization
Citations

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

Fields of papers citing papers by Yee Leng Yap

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Yee Leng Yap

This figure shows the co-authorship network connecting the top 25 collaborators of Yee Leng Yap. A scholar is included among the top collaborators of Yee Leng Yap based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Yee Leng Yap. Yee Leng Yap is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1
Gamma-tocotrienol as an effective agent in targeting prostate cancer stem cell-like population
5
2 33
3 71
4 1
5 63
6 1
7 106
8 17
9 9
10 29
11 43
12 2
13 2
14 11
15 16
16 72
17 25
18 52
19 25
20 20

About Yee Leng Yap

Yee Leng Yap is a scholar working on Infectious Diseases, Biochemistry and Toxicology, having authored 20 papers that have together received 603 indexed citations. Recurring topics across this work include SARS-CoV-2 and COVID-19 Research (7 papers), Computational Drug Discovery Methods (3 papers) and Cancer, Lipids, and Metabolism (3 papers). The work is most often cited by research in Biochemistry (143 citations), Infectious Diseases (153 citations) and Cancer Research (97 citations). Yee Leng Yap has collaborated with scholars based in Hong Kong, Singapore and France. Frequent co-authors include Wei Ney Yap, Antoine Danchin, Ming Tat Ling, Haiyan Han, Y.C. Wong, Y C Wong, Dong Wei, Feng Chen, Yong‐Chuan Wong and Terence K. Lee. Their work appears in journals such as Nucleic Acids Research, Cancer Research and British Journal of Cancer.

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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