Zhikai Chi
About
In The Last Decade
Zhikai Chi
26 papers receiving 876 citations
Hit Papers
Peers
Comparison fields: 5 of 109
- Molecular Biology 462
- Oncology 272
- Cellular and Molecular Neuroscience 114
- Immunology 109
- Epidemiology 71
Countries citing papers authored by Zhikai Chi
This map shows the geographic impact of Zhikai Chi'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 Zhikai Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhikai Chi more than expected).
Fields of papers citing papers by Zhikai Chi
This network shows the impact of papers produced by Zhikai Chi. 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 Zhikai Chi. The network helps show where Zhikai Chi may publish in the future.
Co-authorship network of co-authors of Zhikai Chi
This figure shows the co-authorship network connecting the top 25 collaborators of Zhikai Chi. A scholar is included among the top collaborators of Zhikai Chi 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 Zhikai Chi. Zhikai Chi 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 | 0 | |
| 3 | 4 | |
| 4 | 0 | |
| 5 | 0 | |
| 6 | 20 | |
| 7 | 1 | |
| 8 | 9 | |
| 9 | 1 | |
| 10 | 5 | |
| 11 | 5 | |
| 12 | 13 | |
| 13 | 19 | |
| 14 | 5 | |
| 15 | 58 | |
| 16 | 28 | |
| 17 | 58 | |
| 18 | 175 | |
| 19 | 80 | |
| 20 | 8 |
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.