Mijuan Shi
About
In The Last Decade
Mijuan Shi
34 papers receiving 701 citations
Peers
Comparison fields: 5 of 94
- Molecular Biology 292
- Cellular and Molecular Neuroscience 166
- Immunology 149
- Cancer Research 98
- Aquatic Science 87
Countries citing papers authored by Mijuan Shi
This map shows the geographic impact of Mijuan 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 Mijuan Shi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mijuan Shi more than expected).
Fields of papers citing papers by Mijuan Shi
This network shows the impact of papers produced by Mijuan 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 Mijuan Shi. The network helps show where Mijuan Shi may publish in the future.
Co-authorship network of co-authors of Mijuan Shi
This figure shows the co-authorship network connecting the top 25 collaborators of Mijuan Shi. A scholar is included among the top collaborators of Mijuan 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 Mijuan Shi. Mijuan 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 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 5 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 1 | |
| 8 | 1 | |
| 9 | 17 | |
| 10 | 10 | |
| 11 | 3 | |
| 12 | 6 | |
| 13 | 17 | |
| 14 | 16 | |
| 15 | 21 | |
| 16 | 32 | |
| 17 | 87 | |
| 18 | 67 | |
| 19 | 2 | |
| 20 | 34 |
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.