Yahui Song
About
In The Last Decade
Yahui Song
13 papers receiving 330 citations
Peers
Comparison fields: 5 of 70
- Immunology 152
- Molecular Biology 142
- Genetics 67
- Epidemiology 62
- Cancer Research 41
Countries citing papers authored by Yahui Song
This map shows the geographic impact of Yahui 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 Yahui Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yahui Song more than expected).
Fields of papers citing papers by Yahui Song
This network shows the impact of papers produced by Yahui 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 Yahui Song. The network helps show where Yahui Song may publish in the future.
Co-authorship network of co-authors of Yahui Song
This figure shows the co-authorship network connecting the top 25 collaborators of Yahui Song. A scholar is included among the top collaborators of Yahui 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 Yahui Song. Yahui 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 | 1 | |
| 2 | 33 | |
| 3 | 22 | |
| 4 | 7 | |
| 5 | 14 | |
| 6 | 34 | |
| 7 | 12 | |
| 8 | 12 | |
| 9 | 60 | |
| 10 | 85 | |
| 11 | 21 | |
| 12 | 6 | |
| 13 | 31 |
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.