Chan Yean Yean
- Molecular Biology top 10%
- Infectious Diseases top 2%
- Biomedical Engineering top 5%
- Epidemiology top 10%
- Endocrinology top 1%
- Co-authors
- Geik Yong AngChoo Yee YuManickam RavichandranRafidah Hanim ShuebMaizan MohamedEngku Nur Syafirah Engku Abd RahmanAhmad Adebayo IrekeolaNabilah Ismail
- Topics
- Antimicrobial Resistance in Staphylococcus (26 papers)Biosensors and Analytical Detection (23 papers)Bacterial Identification and Susceptibility Testing (23 papers)
- Journals
- NatureThe LancetPLoS ONE
- Partner nations
- MalaysiaPakistanSaudi Arabia
In The Last Decade
Chan Yean Yean
133 papers receiving 2.6k citations
Peers
Comparison fields: 5 of 139
- Molecular Biology 867
- Infectious Diseases 823
- Biomedical Engineering 669
- Epidemiology 335
- Endocrinology 315
Countries citing papers authored by Chan Yean Yean
This map shows the geographic impact of Chan Yean Yean'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 Chan Yean Yean with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chan Yean Yean more than expected).
Fields of papers citing papers by Chan Yean Yean
This network shows the impact of papers produced by Chan Yean Yean. 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 Chan Yean Yean. The network helps show where Chan Yean Yean may publish in the future.
Co-authorship network of co-authors of Chan Yean Yean
This figure shows the co-authorship network connecting the top 25 collaborators of Chan Yean Yean. A scholar is included among the top collaborators of Chan Yean Yean 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 Chan Yean Yean. Chan Yean Yean is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 0 | |
| 3 | 0 | |
| 4 | 6 | |
| 5 | 7 | |
| 6 | 5 | |
| 7 | 9 | |
| 8 | 22 | |
| 9 | 14 | |
| 10 | 3 | |
| 11 | 23 | |
| 12 | 18 | |
| 13 | 6 | |
| 14 | 4 | |
| 15 | 12 | |
| 16 | 14 | |
| 17 | Brief communication genotyping of Burkholderia pseudomallei revealed high genetic variability among isolates from a single population group. | 6 |
| 18 | 7 | |
| 19 | 8 | |
| 20 | 26 |
About Chan Yean Yean
Chan Yean Yean is a scholar working on Endocrinology, Clinical Biochemistry and Molecular Medicine, having authored 143 papers that have together received 2.7k indexed citations. Recurring topics across this work include Antimicrobial Resistance in Staphylococcus (26 papers), Biosensors and Analytical Detection (23 papers) and Bacterial Identification and Susceptibility Testing (23 papers). The work is most often cited by research in Endocrinology (315 citations), Applied Microbiology and Biotechnology (116 citations) and Molecular Medicine (266 citations). Chan Yean Yean has collaborated with scholars based in Malaysia, Pakistan and Saudi Arabia. Frequent co-authors include Geik Yong Ang, Choo Yee Yu, Manickam Ravichandran, Rafidah Hanim Shueb, Maizan Mohamed, Engku Nur Syafirah Engku Abd Rahman, Ahmad Adebayo Irekeola, Nabilah Ismail, Boon Huat Lim and Boon‐Chuan Ho. Their work appears in journals such as Nature, The Lancet 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.