Kai-Cheng Chang
About
In The Last Decade
Kai-Cheng Chang
10 papers receiving 286 citations
Peers
Comparison fields: 5 of 68
- Endocrinology, Diabetes and Metabolism 174
- Molecular Biology 131
- Surgery 55
- Epidemiology 42
- Oncology 33
Countries citing papers authored by Kai-Cheng Chang
This map shows the geographic impact of Kai-Cheng Chang'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 Kai-Cheng Chang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kai-Cheng Chang more than expected).
Fields of papers citing papers by Kai-Cheng Chang
This network shows the impact of papers produced by Kai-Cheng Chang. 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 Kai-Cheng Chang. The network helps show where Kai-Cheng Chang may publish in the future.
Co-authorship network of co-authors of Kai-Cheng Chang
This figure shows the co-authorship network connecting the top 25 collaborators of Kai-Cheng Chang. A scholar is included among the top collaborators of Kai-Cheng Chang 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 Kai-Cheng Chang. Kai-Cheng Chang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 6 | |
| 2 | 53 | |
| 3 | 14 | |
| 4 | 40 | |
| 5 | 48 | |
| 6 | 30 | |
| 7 | 13 | |
| 8 | 59 | |
| 9 | 15 | |
| 10 | 12 |
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.