Chia-Wei Tai
About
In The Last Decade
Chia-Wei Tai
9 papers receiving 442 citations
Peers
Comparison fields: 5 of 72
- Biochemistry 177
- Plant Science 175
- Molecular Biology 121
- Food Science 85
- Organic Chemistry 54
Countries citing papers authored by Chia-Wei Tai
This map shows the geographic impact of Chia-Wei Tai'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 Chia-Wei Tai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chia-Wei Tai more than expected).
Fields of papers citing papers by Chia-Wei Tai
This network shows the impact of papers produced by Chia-Wei Tai. 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 Chia-Wei Tai. The network helps show where Chia-Wei Tai may publish in the future.
Co-authorship network of co-authors of Chia-Wei Tai
This figure shows the co-authorship network connecting the top 25 collaborators of Chia-Wei Tai. A scholar is included among the top collaborators of Chia-Wei Tai 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 Chia-Wei Tai. Chia-Wei Tai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 3 | |
| 3 | 54 | |
| 4 | 15 | |
| 5 | 90 | |
| 6 | 24 | |
| 7 | 52 | |
| 8 | 14 | |
| 9 | 105 | |
| 10 | 119 |
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.