Lai‐Sheung Chan
About
In The Last Decade
Lai‐Sheung Chan
9 papers receiving 348 citations
Peers
Comparison fields: 5 of 75
- Molecular Biology 279
- Cancer Research 158
- Pharmacology 28
- Biomedical Engineering 28
- Immunology 21
Countries citing papers authored by Lai‐Sheung Chan
This map shows the geographic impact of Lai‐Sheung 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 Lai‐Sheung Chan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Lai‐Sheung Chan more than expected).
Fields of papers citing papers by Lai‐Sheung Chan
This network shows the impact of papers produced by Lai‐Sheung 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 Lai‐Sheung Chan. The network helps show where Lai‐Sheung Chan may publish in the future.
Co-authorship network of co-authors of Lai‐Sheung Chan
This figure shows the co-authorship network connecting the top 25 collaborators of Lai‐Sheung Chan. A scholar is included among the top collaborators of Lai‐Sheung 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 Lai‐Sheung Chan. Lai‐Sheung 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 | 13 | |
| 2 | 30 | |
| 3 | 26 | |
| 4 | 60 | |
| 5 | 25 | |
| 6 | 28 | |
| 7 | 7 | |
| 8 | 76 | |
| 9 | 85 |
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.