Pang‐Chui Shaw
Impact in
- Biotechnology top 0.5%
- Transgenic Plants and Applications
Papers in
-
- RNA and protein synthesis mechanisms 26
- Identification and Quantification in Food 22
- Genomics and Phylogenetic Studies 19
- Natural product bioactivities and synthesis 17
- Immunology 52
- Toxin Mechanisms and Immunotoxins 38
- Co-authors
- Paul Pui‐Hay But (47 shared papers)Kam‐Bo Wong (20 shared papers)Ka‐Lok Wong (16 shared papers)Hong‐Xi Xu (12 shared papers)Ren‐Wang Jiang (14 shared papers)Andy Ka‐Leung Ng (8 shared papers)Yanbo Zhang (8 shared papers)Yao Tong (8 shared papers)
- Journals
- Journal of Ethnopharmacology (14 papers)Nucleic Acids Research (13 papers)PLoS ONE (9 papers)Chinese Medicine (9 papers)Planta Medica (9 papers)
- Partner nations
- Hong KongChinaUnited Kingdom
In The Last Decade
Pang‐Chui Shaw
247 papers receiving 5.9k citations
Peers
Comparison fields: 5 of 145
- Biotechnology 730
- Complementary and alternative medicine 588
- Pharmacology 555
- Immunology 1.2k
- Molecular Biology 3.2k
Countries citing papers authored by Pang‐Chui Shaw
This map shows the geographic impact of Pang‐Chui Shaw'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 Pang‐Chui Shaw with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pang‐Chui Shaw more than expected).
Fields of papers citing papers by Pang‐Chui Shaw
This network shows the impact of papers produced by Pang‐Chui Shaw. 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 Pang‐Chui Shaw. The network helps show where Pang‐Chui Shaw may publish in the future.
Co-authors
The 25 scholars most cited alongside Pang‐Chui Shaw, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 255 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2008 | 188 | |
| 2 | 2017 | 168 | |
| 3 | 2005 | 136 | |
| 4 | 2002 | 110 | |
| 5 | 1999 | 106 | |
| 6 | 2011 | 88 | |
| 7 | 2005 | 83 | |
| 8 | 2005 | 82 | |
| 9 | 2001 | 77 | |
| 10 | 1999 | 76 | |
| 11 | 2011 | 74 | |
| 12 | 2010 | 71 | |
| 13 | 2000 | 71 | |
| 14 | 2012 | 67 | |
| 15 | 2007 | 65 | |
| 16 | 2002 | 65 | |
| 17 | 1994 | 64 | |
| 18 | 2006 | 63 | |
| 19 | 2009 | 63 | |
| 20 | 2015 | 61 |
About Pang‐Chui Shaw
Pang‐Chui Shaw is a scholar working on Molecular Biology, Immunology, Plant Science, Biotechnology and Pharmacology, having authored 255 papers that have together received 6.1k indexed citations. Recurring topics across this work include Toxin Mechanisms and Immunotoxins (38 papers), Transgenic Plants and Applications (32 papers), RNA and protein synthesis mechanisms (26 papers), Influenza Virus Research Studies (24 papers), Identification and Quantification in Food (22 papers), Genomics and Phylogenetic Studies (19 papers), Traditional Chinese Medicine Analysis (17 papers) and Natural product bioactivities and synthesis (17 papers). The work is most often cited by research in Biotechnology (730 citations), Complementary and alternative medicine (588 citations), Pharmacology (555 citations), Immunology (1.2k citations) and Molecular Biology (3.2k citations). Pang‐Chui Shaw has collaborated with scholars based in Hong Kong, China and United Kingdom. Frequent co-authors include Paul Pui‐Hay But, Kam‐Bo Wong, Ka‐Lok Wong, Hong‐Xi Xu, Ren‐Wang Jiang, Andy Ka‐Leung Ng, Yanbo Zhang, Yao Tong, David Chi‐Cheong Wan and Tzi‐Bun Ng. Their work appears in journals such as Journal of Ethnopharmacology, Nucleic Acids Research, PLoS ONE, Chinese Medicine and Planta Medica.
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.