Dong Yue
About
In The Last Decade
Dong Yue
6 papers receiving 681 citations
Hit Papers
Peers
Comparison fields: 5 of 120
- Molecular Biology 462
- Cancer Research 74
- Computational Theory and Mathematics 73
- Plant Science 56
- Pharmacology 42
Countries citing papers authored by Dong Yue
This map shows the geographic impact of Dong Yue'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 Dong Yue with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dong Yue more than expected).
Fields of papers citing papers by Dong Yue
This network shows the impact of papers produced by Dong Yue. 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 Dong Yue. The network helps show where Dong Yue may publish in the future.
Co-authorship network of co-authors of Dong Yue
This figure shows the co-authorship network connecting the top 25 collaborators of Dong Yue. A scholar is included among the top collaborators of Dong Yue 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 Dong Yue. Dong Yue is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 86 | |
| 3 | 1 | |
| 4 | 1 | |
| 5 | Cytoscape.js: a graph theory library for visualisation and analysis breakdown → | 480 |
| 6 | 121 |
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.