Suet Lim
About
In The Last Decade
Suet Lim
11 papers receiving 346 citations
Peers
Comparison fields: 5 of 81
- Endocrinology 109
- Epidemiology 96
- Sociology and Political Science 87
- Health, Toxicology and Mutagenesis 86
- Gender Studies 78
Countries citing papers authored by Suet Lim
This map shows the geographic impact of Suet Lim'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 Suet Lim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Suet Lim more than expected).
Fields of papers citing papers by Suet Lim
This network shows the impact of papers produced by Suet Lim. 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 Suet Lim. The network helps show where Suet Lim may publish in the future.
Co-authorship network of co-authors of Suet Lim
This figure shows the co-authorship network connecting the top 25 collaborators of Suet Lim. A scholar is included among the top collaborators of Suet Lim 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 Suet Lim. Suet Lim 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 | 4 | |
| 3 | 18 | |
| 4 | 5 | |
| 5 | 36 | |
| 6 | 37 | |
| 7 | 155 | |
| 8 | 4 | |
| 9 | Gender, race, and attainment in Peninsular Malaysia | 2 |
| 10 | 46 | |
| 11 | 69 |
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.