Quan‐Gen Tan
About
In The Last Decade
Quan‐Gen Tan
10 papers receiving 378 citations
Peers
Comparison fields: 5 of 43
- Materials Chemistry 316
- Inorganic Chemistry 147
- Molecular Biology 85
- Renewable Energy, Sustainability and the Environment 78
- Biomedical Engineering 77
Countries citing papers authored by Quan‐Gen Tan
This map shows the geographic impact of Quan‐Gen Tan'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 Quan‐Gen Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Quan‐Gen Tan more than expected).
Fields of papers citing papers by Quan‐Gen Tan
This network shows the impact of papers produced by Quan‐Gen Tan. 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 Quan‐Gen Tan. The network helps show where Quan‐Gen Tan may publish in the future.
Co-authorship network of co-authors of Quan‐Gen Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Quan‐Gen Tan. A scholar is included among the top collaborators of Quan‐Gen Tan 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 Quan‐Gen Tan. Quan‐Gen Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 21 | |
| 2 | 10 | |
| 3 | 50 | |
| 4 | 29 | |
| 5 | 13 | |
| 6 | 53 | |
| 7 | 5 | |
| 8 | 13 | |
| 9 | 77 | |
| 10 | 111 |
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.