Min Dai
About
In The Last Decade
Min Dai
25 papers receiving 305 citations
Peers
Comparison fields: 5 of 76
- Oncology 169
- Immunology 152
- Molecular Biology 86
- Biomedical Engineering 18
- Radiology, Nuclear Medicine and Imaging 17
Countries citing papers authored by Min Dai
This map shows the geographic impact of Min Dai'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 Min Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Min Dai more than expected).
Fields of papers citing papers by Min Dai
This network shows the impact of papers produced by Min Dai. 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 Min Dai. The network helps show where Min Dai may publish in the future.
Co-authorship network of co-authors of Min Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Min Dai. A scholar is included among the top collaborators of Min Dai 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 Min Dai. Min Dai 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 | 5 | |
| 3 | 3 | |
| 4 | 1 | |
| 5 | 4 | |
| 6 | 2 | |
| 7 | 0 | |
| 8 | 2 | |
| 9 | 6 | |
| 10 | 12 | |
| 11 | 8 | |
| 12 | 4 | |
| 13 | 26 | |
| 14 | 3 | |
| 15 | 44 | |
| 16 | 11 | |
| 17 | 36 | |
| 18 | 82 | |
| 19 | 36 | |
| 20 | [Monitoring CML28 mRNA levels in patients before and after HSCT by real-time quantitative RT-PCR]. | 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.