Dayong Zhai
About
In The Last Decade
Dayong Zhai
76 papers receiving 4.2k citations
Hit Papers
Peers
Comparison fields: 5 of 117
- Molecular Biology 3.0k
- Immunology 751
- Oncology 667
- Organic Chemistry 443
- Rheumatology 397
Countries citing papers authored by Dayong Zhai
This map shows the geographic impact of Dayong Zhai'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 Dayong Zhai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dayong Zhai more than expected).
Fields of papers citing papers by Dayong Zhai
This network shows the impact of papers produced by Dayong Zhai. 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 Dayong Zhai. The network helps show where Dayong Zhai may publish in the future.
Co-authorship network of co-authors of Dayong Zhai
This figure shows the co-authorship network connecting the top 25 collaborators of Dayong Zhai. A scholar is included among the top collaborators of Dayong Zhai 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 Dayong Zhai. Dayong Zhai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 70 | |
| 2 | 21 | |
| 3 | 129 | |
| 4 | 17 | |
| 5 | 28 | |
| 6 | 47 | |
| 7 | 236 | |
| 8 | 105 | |
| 9 | 51 | |
| 10 | 45 | |
| 11 | 70 | |
| 12 | 185 | |
| 13 | 9 | |
| 14 | 262 | |
| 15 | 67 | |
| 16 | 96 | |
| 17 | 125 | |
| 18 | 71 | |
| 19 | 49 | |
| 20 | Humanin peptide suppresses apoptosis by interfering with Bax activation breakdown → | 513 |
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.