Keith Leung
About
In The Last Decade
Keith Leung
6 papers receiving 121 citations
Peers
Comparison fields: 5 of 34
- Molecular Biology 69
- Microbiology 55
- Oncology 49
- Cancer Research 35
- Immunology 19
Countries citing papers authored by Keith Leung
This map shows the geographic impact of Keith Leung'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 Keith Leung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Keith Leung more than expected).
Fields of papers citing papers by Keith Leung
This network shows the impact of papers produced by Keith Leung. 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 Keith Leung. The network helps show where Keith Leung may publish in the future.
Co-authorship network of co-authors of Keith Leung
This figure shows the co-authorship network connecting the top 25 collaborators of Keith Leung. A scholar is included among the top collaborators of Keith Leung 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 Keith Leung. Keith Leung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 10 | |
| 3 | 27 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | The combined effects of antibacterial peptide cecropin A and anti-cancer agents on leukemia cells. | 70 |
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.