Si Yun Ng
About
In The Last Decade
Si Yun Ng
7 papers receiving 653 citations
Hit Papers
Peers
Comparison fields: 5 of 78
- Neurology 363
- Molecular Biology 226
- Epidemiology 188
- Neurology 120
- Developmental Neuroscience 104
Countries citing papers authored by Si Yun Ng
This map shows the geographic impact of Si Yun Ng'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 Si Yun Ng with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Si Yun Ng more than expected).
Fields of papers citing papers by Si Yun Ng
This network shows the impact of papers produced by Si Yun Ng. 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 Si Yun Ng. The network helps show where Si Yun Ng may publish in the future.
Co-authorship network of co-authors of Si Yun Ng
This figure shows the co-authorship network connecting the top 25 collaborators of Si Yun Ng. A scholar is included among the top collaborators of Si Yun Ng 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 Si Yun Ng. Si Yun Ng 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 | 2 | |
| 3 | 13 | |
| 4 | Traumatic Brain Injuries: Pathophysiology and Potential Therapeutic Targets breakdown → | 527 |
| 5 | 49 | |
| 6 | 70 | |
| 7 | 1 |
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.