Bee Huat Tan
About
In The Last Decade
Bee Huat Tan
4 papers receiving 146 citations
Peers
Comparison fields: 5 of 41
- Endocrinology, Diabetes and Metabolism 122
- Genetics 72
- Pathology and Forensic Medicine 65
- Public Health, Environmental and Occupational Health 36
- General Health Professions 19
Countries citing papers authored by Bee Huat Tan
This map shows the geographic impact of Bee Huat Tan'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 Bee Huat Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Bee Huat Tan more than expected).
Fields of papers citing papers by Bee Huat Tan
This network shows the impact of papers produced by Bee Huat Tan. 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 Bee Huat Tan. The network helps show where Bee Huat Tan may publish in the future.
Co-authorship network of co-authors of Bee Huat Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Bee Huat Tan. A scholar is included among the top collaborators of Bee Huat Tan 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 Bee Huat Tan. Bee Huat Tan is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 9 | |
| 3 | 1 | |
| 4 | 141 | |
| 5 | 6 |
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.