Haiya Wu
About
In The Last Decade
Haiya Wu
12 papers receiving 659 citations
Peers
Comparison fields: 5 of 72
- Molecular Biology 450
- Physiology 166
- Endocrinology, Diabetes and Metabolism 137
- Epidemiology 129
- Biochemistry 88
Countries citing papers authored by Haiya Wu
This map shows the geographic impact of Haiya 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 Haiya Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Haiya Wu more than expected).
Fields of papers citing papers by Haiya Wu
This network shows the impact of papers produced by Haiya 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 Haiya Wu. The network helps show where Haiya Wu may publish in the future.
Co-authorship network of co-authors of Haiya Wu
This figure shows the co-authorship network connecting the top 25 collaborators of Haiya Wu. A scholar is included among the top collaborators of Haiya 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 Haiya Wu. Haiya 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 | 77 | |
| 2 | 38 | |
| 3 | 23 | |
| 4 | 22 | |
| 5 | 21 | |
| 6 | 185 | |
| 7 | 96 | |
| 8 | 1 | |
| 9 | 25 | |
| 10 | 63 | |
| 11 | 119 | |
| 12 | [Insulin ultradian pulse model of individuals with overweight and impaired glucose tolerance]. | 1 |
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.