Yuliang Pan
About
In The Last Decade
Yuliang Pan
18 papers receiving 416 citations
Peers
Comparison fields: 5 of 71
- Molecular Biology 262
- Cancer Research 179
- Immunology 103
- Microbiology 90
- Oncology 57
Countries citing papers authored by Yuliang Pan
This map shows the geographic impact of Yuliang Pan'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 Yuliang Pan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yuliang Pan more than expected).
Fields of papers citing papers by Yuliang Pan
This network shows the impact of papers produced by Yuliang Pan. 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 Yuliang Pan. The network helps show where Yuliang Pan may publish in the future.
Co-authorship network of co-authors of Yuliang Pan
This figure shows the co-authorship network connecting the top 25 collaborators of Yuliang Pan. A scholar is included among the top collaborators of Yuliang Pan 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 Yuliang Pan. Yuliang Pan 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 | 8 | |
| 3 | 1 | |
| 4 | 13 | |
| 5 | 1 | |
| 6 | 25 | |
| 7 | 27 | |
| 8 | 33 | |
| 9 | 5 | |
| 10 | 18 | |
| 11 | 17 | |
| 12 | 15 | |
| 13 | 50 | |
| 14 | 35 | |
| 15 | 49 | |
| 16 | 3 | |
| 17 | 2 | |
| 18 | 113 |
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.