Pui-Kwong Chan
- Molecular Biology top 10%
- Oncology top 10%
- Cell Biology top 5%
- Genetics
- Hematology top 10%
- Co-authors
- Benjamin Yat‐Ming YungHarris BuschKevin E. BoveErik S. KnudsenA. George SmulianHenning F. HornYukari TokuyamaKenji Fukasawa
- Topics
- RNA modifications and cancer (4 papers)Advanced biosensing and bioanalysis techniques (3 papers)Natural product bioactivities and synthesis (3 papers)
- Partner nations
- United StatesHong KongTaiwan
In The Last Decade
Pui-Kwong Chan
20 papers receiving 1.2k citations
Hit Papers
Peers
Comparison fields: 5 of 90
- Molecular Biology 1.0k
- Oncology 318
- Cell Biology 282
- Genetics 138
- Hematology 132
Countries citing papers authored by Pui-Kwong Chan
This map shows the geographic impact of Pui-Kwong 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 Pui-Kwong Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pui-Kwong Chan more than expected).
Fields of papers citing papers by Pui-Kwong Chan
This network shows the impact of papers produced by Pui-Kwong 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 Pui-Kwong Chan. The network helps show where Pui-Kwong Chan may publish in the future.
Co-authorship network of co-authors of Pui-Kwong Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Pui-Kwong Chan. A scholar is included among the top collaborators of Pui-Kwong Chan 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 Pui-Kwong Chan. Pui-Kwong Chan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | Abstract #167: Anti-tumor activities of a saponin (Y3) on ovarian cancer cells. | 1 |
| 2 | 36 | |
| 3 | 58 | |
| 4 | 35 | |
| 5 | Nucleophosmin/B23 Is a Target of CDK2/Cyclin E in Centrosome Duplicationbreakdown → | 546 |
| 6 | 1 | |
| 7 | 6 | |
| 8 | 5 | |
| 9 | 98 | |
| 10 | Nucleolar protein B23 translocation after doxorubicin treatment in murine tumor cells. | 42 |
| 11 | Effects of luzopeptins on protein B23 translocation and ribosomal RNA synthesis in HeLa cells. | 47 |
| 12 | 137 | |
| 13 | 64 | |
| 14 | 67 | |
| 15 | 7 | |
| 16 | 3 | |
| 17 | Indirect immunofluorescence studies of proliferating cell nuclear antigen in nucleoli of human tumor and normal tissues. | 47 |
| 18 | 17 | |
| 19 | 18 | |
| 20 | Identification and partial purification of human tumor nucleolar antigen 54/6.3. | 25 |
About Pui-Kwong Chan
Pui-Kwong Chan is a scholar working on Molecular Biology, Physiology and Immunology, having authored 20 papers that have together received 1.3k indexed citations. Recurring topics across this work include RNA modifications and cancer (4 papers), Advanced biosensing and bioanalysis techniques (3 papers) and Natural product bioactivities and synthesis (3 papers). The work is most often cited by research in Cell Biology (282 citations), Molecular Biology (1.0k citations) and Hematology (132 citations). Pui-Kwong Chan has collaborated with scholars based in United States, Hong Kong and Taiwan. Frequent co-authors include Benjamin Yat‐Ming Yung, Harris Busch, Kevin E. Bove, Erik S. Knudsen, A. George Smulian, Henning F. Horn, Yukari Tokuyama, Kenji Fukasawa, Pheruza Tarapore and Masaru Okuda. Their work appears in journals such as Cell, Cancer Research and Biochemical Pharmacology.
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.