Wuqi Song
About
In The Last Decade
Wuqi Song
49 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 105
- Molecular Biology 649
- Cancer Research 402
- Immunology 207
- Cardiology and Cardiovascular Medicine 196
- Epidemiology 106
Countries citing papers authored by Wuqi Song
This map shows the geographic impact of Wuqi Song'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 Wuqi Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wuqi Song more than expected).
Fields of papers citing papers by Wuqi Song
This network shows the impact of papers produced by Wuqi Song. 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 Wuqi Song. The network helps show where Wuqi Song may publish in the future.
Co-authorship network of co-authors of Wuqi Song
This figure shows the co-authorship network connecting the top 25 collaborators of Wuqi Song. A scholar is included among the top collaborators of Wuqi Song 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 Wuqi Song. Wuqi Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 45 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 3 | |
| 6 | 7 | |
| 7 | 15 | |
| 8 | 18 | |
| 9 | Novel biomarkers containing citrullinated peptides for diagnosis of systemic lupus erythematosus using protein microarrays. | 6 |
| 10 | 1 | |
| 11 | 29 | |
| 12 | 10 | |
| 13 | 25 | |
| 14 | 11 | |
| 15 | 10 | |
| 16 | 368 | |
| 17 | 131 | |
| 18 | 16 | |
| 19 | 1 | |
| 20 | 27 |
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.