Ya Gao
About
In The Last Decade
Ya Gao
108 papers receiving 2.2k citations
Peers
Comparison fields: 5 of 185
- Infectious Diseases 428
- Molecular Biology 314
- Oncology 236
- Epidemiology 186
- Industrial and Manufacturing Engineering 168
Countries citing papers authored by Ya Gao
This map shows the geographic impact of Ya Gao'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 Ya Gao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ya Gao more than expected).
Fields of papers citing papers by Ya Gao
This network shows the impact of papers produced by Ya Gao. 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 Ya Gao. The network helps show where Ya Gao may publish in the future.
Co-authorship network of co-authors of Ya Gao
This figure shows the co-authorship network connecting the top 25 collaborators of Ya Gao. A scholar is included among the top collaborators of Ya Gao 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 Ya Gao. Ya Gao is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 6 | |
| 3 | 6 | |
| 4 | 0 | |
| 5 | 5 | |
| 6 | 4 | |
| 7 | 4 | |
| 8 | 27 | |
| 9 | 3 | |
| 10 | 2 | |
| 11 | 1 | |
| 12 | 40 | |
| 13 | 59 | |
| 14 | 22 | |
| 15 | 43 | |
| 16 | 2 | |
| 17 | 102 | |
| 18 | 1 | |
| 19 | 8 | |
| 20 | 1 |
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.