Nai‐Fang Chi
About
In The Last Decade
Nai‐Fang Chi
72 papers receiving 1.0k citations
Peers
Comparison fields: 5 of 97
- Epidemiology 322
- Neurology 279
- Psychiatry and Mental health 184
- Neurology 165
- Molecular Biology 159
Countries citing papers authored by Nai‐Fang Chi
This map shows the geographic impact of Nai‐Fang 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 Nai‐Fang Chi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nai‐Fang Chi more than expected).
Fields of papers citing papers by Nai‐Fang Chi
This network shows the impact of papers produced by Nai‐Fang 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 Nai‐Fang Chi. The network helps show where Nai‐Fang Chi may publish in the future.
Co-authorship network of co-authors of Nai‐Fang Chi
This figure shows the co-authorship network connecting the top 25 collaborators of Nai‐Fang Chi. A scholar is included among the top collaborators of Nai‐Fang 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 Nai‐Fang Chi. Nai‐Fang 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 | 2 | |
| 2 | 2 | |
| 3 | 2 | |
| 4 | 2 | |
| 5 | 4 | |
| 6 | 13 | |
| 7 | 1 | |
| 8 | 28 | |
| 9 | 3 | |
| 10 | 28 | |
| 11 | 18 | |
| 12 | 2 | |
| 13 | 26 | |
| 14 | 16 | |
| 15 | 24 | |
| 16 | 6 | |
| 17 | 8 | |
| 18 | 1 | |
| 19 | 3 | |
| 20 | 4 |
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.