Ruby L.Y. Chan
Impact in
- Microbiology top 2%
- Antimicrobial Peptides and Activities
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- Traditional Chinese Medicine Analysis
Papers in
-
- RNA Interference and Gene Delivery 2
- Kruppel-like factors research 1
- Viral Infectious Diseases and Gene Expression in Insects 1
- Protein purification and stability 1
- Signaling Pathways in Disease 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)Chi H. Cho (4 shared papers)
- Journals
- Phytomedicine (3 papers)Current Pharmaceutical Design (2 papers)Life Sciences (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 693 citations
Peers
Comparison fields: 5 of 74
- Microbiology 172
- Complementary and alternative medicine 90
- Cancer Research 88
- Pharmacology 51
- Molecular Biology 402
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 | 130 | |
| 2 | 2016 | 120 | |
| 3 | 2012 | 119 | |
| 4 | 2014 | 88 | |
| 5 | 2015 | 81 | |
| 6 | 2015 | 63 | |
| 7 | 2016 | 41 | |
| 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, Microbiology, Radiology, Nuclear Medicine and Imaging and Immunology, having authored 12 papers that have together received 705 indexed citations. Recurring topics across this work include Traditional Chinese Medicine Analysis (4 papers), Antimicrobial Peptides and Activities (2 papers), RNA Interference and Gene Delivery (2 papers), Kruppel-like factors research (1 paper), Viral Infectious Diseases and Gene Expression in Insects (1 paper), Protein purification and stability (1 paper), Signaling Pathways in Disease (1 paper) and MicroRNA in disease regulation (1 paper). The work is most often cited by research in Microbiology (172 citations), Complementary and alternative medicine (90 citations), Cancer Research (88 citations), Pharmacology (51 citations) and Molecular Biology (402 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, Chi H. Cho, Shun X. Ren and Lin Wang. Their work appears in journals such as Phytomedicine, Current Pharmaceutical Design, Life Sciences, 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.