Hsiang-Chia Lu
About
In The Last Decade
Hsiang-Chia Lu
4 papers receiving 89 citations
Peers
Comparison fields: 5 of 18
- Plant Science 76
- Molecular Biology 58
- Ecology, Evolution, Behavior and Systematics 28
- Pharmacology 11
- Endocrinology 10
Countries citing papers authored by Hsiang-Chia Lu
This map shows the geographic impact of Hsiang-Chia Lu'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 Hsiang-Chia Lu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Hsiang-Chia Lu more than expected).
Fields of papers citing papers by Hsiang-Chia Lu
This network shows the impact of papers produced by Hsiang-Chia Lu. 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 Hsiang-Chia Lu. The network helps show where Hsiang-Chia Lu may publish in the future.
Co-authorship network of co-authors of Hsiang-Chia Lu
This figure shows the co-authorship network connecting the top 25 collaborators of Hsiang-Chia Lu. A scholar is included among the top collaborators of Hsiang-Chia Lu 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 Hsiang-Chia Lu. Hsiang-Chia Lu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 21 | |
| 3 | 0 | |
| 4 | 27 | |
| 5 | 32 | |
| 6 | 10 |
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.