Da-Long Cao
About
In The Last Decade
Da-Long Cao
10 papers receiving 379 citations
Peers
Comparison fields: 5 of 53
- Molecular Biology 251
- Pulmonary and Respiratory Medicine 195
- Cancer Research 171
- Oncology 83
- Immunology 36
Countries citing papers authored by Da-Long Cao
This map shows the geographic impact of Da-Long Cao'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 Da-Long Cao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Da-Long Cao more than expected).
Fields of papers citing papers by Da-Long Cao
This network shows the impact of papers produced by Da-Long Cao. 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 Da-Long Cao. The network helps show where Da-Long Cao may publish in the future.
Co-authorship network of co-authors of Da-Long Cao
This figure shows the co-authorship network connecting the top 25 collaborators of Da-Long Cao. A scholar is included among the top collaborators of Da-Long Cao 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 Da-Long Cao. Da-Long Cao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 19 | |
| 2 | 5 | |
| 3 | 45 | |
| 4 | 23 | |
| 5 | 1 | |
| 6 | 155 | |
| 7 | 44 | |
| 8 | 7 | |
| 9 | 21 | |
| 10 | 60 |
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.