JAW‐CHING WU
About
In The Last Decade
JAW‐CHING WU
12 papers receiving 373 citations
Peers
Comparison fields: 5 of 52
- Hepatology 294
- Epidemiology 267
- Pharmacology 69
- Infectious Diseases 40
- Surgery 35
Countries citing papers authored by JAW‐CHING WU
This map shows the geographic impact of JAW‐CHING WU'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 JAW‐CHING WU with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites JAW‐CHING WU more than expected).
Fields of papers citing papers by JAW‐CHING WU
This network shows the impact of papers produced by JAW‐CHING WU. 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 JAW‐CHING WU. The network helps show where JAW‐CHING WU may publish in the future.
Co-authorship network of co-authors of JAW‐CHING WU
This figure shows the co-authorship network connecting the top 25 collaborators of JAW‐CHING WU. A scholar is included among the top collaborators of JAW‐CHING WU 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 JAW‐CHING WU. JAW‐CHING WU is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 56 | |
| 2 | 15 | |
| 3 | 32 | |
| 4 | 10 | |
| 5 | 43 | |
| 6 | 24 | |
| 7 | 68 | |
| 8 | 19 | |
| 9 | 68 | |
| 10 | 10 | |
| 11 | 20 | |
| 12 | 21 |
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.