Diana Dai
About
In The Last Decade
Diana Dai
9 papers receiving 731 citations
Peers
Comparison fields: 5 of 90
- Pharmacology 368
- Plant Science 180
- Oncology 166
- Molecular Biology 149
- Biochemistry 117
Countries citing papers authored by Diana Dai
This map shows the geographic impact of Diana 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 Diana Dai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Diana Dai more than expected).
Fields of papers citing papers by Diana Dai
This network shows the impact of papers produced by Diana 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 Diana Dai. The network helps show where Diana Dai may publish in the future.
Co-authorship network of co-authors of Diana Dai
This figure shows the co-authorship network connecting the top 25 collaborators of Diana Dai. A scholar is included among the top collaborators of Diana 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 Diana Dai. Diana 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 | 9 | |
| 2 | 33 | |
| 3 | 41 | |
| 4 | 28 | |
| 5 | 0 | |
| 6 | Metabolic screening of cancer cell metabolism | 1 |
| 7 | 130 | |
| 8 | 1 | |
| 9 | Metabolism of chlorpyrifos by human cytochrome P450 isoforms and human, mouse, and rat liver microsomes. | 209 |
| 10 | 295 |
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.