Yulin Shi
About
In The Last Decade
Yulin Shi
12 papers receiving 237 citations
Peers
Comparison fields: 5 of 59
- Molecular Biology 167
- Cancer Research 105
- Oncology 31
- Plant Science 31
- Pulmonary and Respiratory Medicine 30
Countries citing papers authored by Yulin Shi
This map shows the geographic impact of Yulin Shi'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 Yulin Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yulin Shi more than expected).
Fields of papers citing papers by Yulin Shi
This network shows the impact of papers produced by Yulin Shi. 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 Yulin Shi. The network helps show where Yulin Shi may publish in the future.
Co-authorship network of co-authors of Yulin Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Yulin Shi. A scholar is included among the top collaborators of Yulin Shi 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 Yulin Shi. Yulin Shi is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 17 | |
| 2 | 43 | |
| 3 | 5 | |
| 4 | 10 | |
| 5 | 9 | |
| 6 | 4 | |
| 7 | 16 | |
| 8 | 7 | |
| 9 | 63 | |
| 10 | 11 | |
| 11 | 18 | |
| 12 | 35 |
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.