Dongmei Ai
About
In The Last Decade
Dongmei Ai
37 papers receiving 604 citations
Peers
Comparison fields: 5 of 120
- Molecular Biology 357
- Periodontics 110
- Physiology 76
- Ecology 70
- Oncology 56
Countries citing papers authored by Dongmei Ai
This map shows the geographic impact of Dongmei Ai'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 Dongmei Ai with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Dongmei Ai more than expected).
Fields of papers citing papers by Dongmei Ai
This network shows the impact of papers produced by Dongmei Ai. 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 Dongmei Ai. The network helps show where Dongmei Ai may publish in the future.
Co-authorship network of co-authors of Dongmei Ai
This figure shows the co-authorship network connecting the top 25 collaborators of Dongmei Ai. A scholar is included among the top collaborators of Dongmei Ai 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 Dongmei Ai. Dongmei Ai is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 1 | |
| 3 | 3 | |
| 4 | 5 | |
| 5 | 0 | |
| 6 | 4 | |
| 7 | 1 | |
| 8 | 5 | |
| 9 | 1 | |
| 10 | 11 | |
| 11 | 11 | |
| 12 | 45 | |
| 13 | 9 | |
| 14 | 124 | |
| 15 | 10 | |
| 16 | 56 | |
| 17 | 4 | |
| 18 | 79 | |
| 19 | 12 | |
| 20 | 3 |
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.