Raymond K. Tan
About
In The Last Decade
Raymond K. Tan
8 papers receiving 477 citations
Peers
Comparison fields: 5 of 66
- Molecular Biology 260
- Endocrinology, Diabetes and Metabolism 142
- Clinical Biochemistry 114
- Physiology 105
- Genetics 90
Countries citing papers authored by Raymond K. Tan
This map shows the geographic impact of Raymond K. 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 Raymond K. Tan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Raymond K. Tan more than expected).
Fields of papers citing papers by Raymond K. Tan
This network shows the impact of papers produced by Raymond K. 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 Raymond K. Tan. The network helps show where Raymond K. Tan may publish in the future.
Co-authorship network of co-authors of Raymond K. Tan
This figure shows the co-authorship network connecting the top 25 collaborators of Raymond K. Tan. A scholar is included among the top collaborators of Raymond K. 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 Raymond K. Tan. Raymond K. 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 | 2 | |
| 2 | 1 | |
| 3 | 50 | |
| 4 | 6 | |
| 5 | 3 | |
| 6 | 1 | |
| 7 | 162 | |
| 8 | 271 |
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.