Ruby L.Y. Chan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
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- Traditional Chinese Medicine Analysis
Papers in
-
- Bioactive Natural Diterpenoids Research 2
- Natural product bioactivities and synthesis 2
- RNA Interference and Gene Delivery 2
- Signaling Pathways in Disease 1
- Kruppel-like factors research 1
-
- Traditional Chinese Medicine Analysis 4
- Co-authors
- Lin Zhang (8 shared papers)William Ka Kei Wu (8 shared papers)Jing Shen (7 shared papers)Tao Hu (5 shared papers)Mingxing Li (4 shared papers)Lan Lu (3 shared papers)Kenneth K.W. To (2 shared papers)Lin Wang (2 shared papers)
- Journals
- Phytomedicine (3 papers)Life Sciences (2 papers)Current Pharmaceutical Design (2 papers)mAbs (1 paper)Journal of Biological Chemistry (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ruby L.Y. Chan
12 papers receiving 675 citations
Peers
Comparison fields: 5 of 75
- Microbiology 166
- Complementary and alternative medicine 90
- Pharmacology 62
- Toxicology 23
- Cancer Research 98
Countries citing papers authored by Ruby L.Y. Chan
This map shows the geographic impact of Ruby L.Y. Chan'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 Ruby L.Y. Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ruby L.Y. Chan more than expected).
Fields of papers citing papers by Ruby L.Y. Chan
This network shows the impact of papers produced by Ruby L.Y. Chan. 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 Ruby L.Y. Chan. The network helps show where Ruby L.Y. Chan may publish in the future.
Co-authors
The 25 scholars most cited alongside Ruby L.Y. Chan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2013 | 127 | |
| 2 | 2016 | 117 | |
| 3 | 2012 | 115 | |
| 4 | 2014 | 84 | |
| 5 | 2015 | 78 | |
| 6 | 2015 | 62 | |
| 7 | 2016 | 39 | |
| 8 | 2013 | 38 | |
| 9 | 2018 | 17 | |
| 10 | 2012 | 5 | |
| 11 | Asia's Performance Challenge | 2001 | 2 |
| 12 | 2012 | 1 |
About Ruby L.Y. Chan
Ruby L.Y. Chan is a scholar working on Molecular Biology, Complementary and alternative medicine, Pharmacology, Microbiology and Pharmacology, having authored 12 papers that have together received 685 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Bioactive Natural Diterpenoids Research (2 papers), Natural product bioactivities and synthesis (2 papers), RNA Interference and Gene Delivery (2 papers), Antimicrobial Peptides and Activities (2 papers), Signaling Pathways in Disease (1 paper), MicroRNA in disease regulation (1 paper) and Kruppel-like factors research (1 paper). The work is most often cited by research in Microbiology (166 citations), Complementary and alternative medicine (90 citations), Pharmacology (62 citations), Toxicology (23 citations) and Cancer Research (98 citations). Ruby L.Y. Chan has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Lin Zhang, William Ka Kei Wu, Jing Shen, Tao Hu, Mingxing Li, Lan Lu, Kenneth K.W. To, Lin Wang, Shun X. Ren and Chi H. Cho. Their work appears in journals such as Phytomedicine, Life Sciences, Current Pharmaceutical Design, mAbs and Journal of Biological Chemistry.
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.