Ray T. Y. So
About
In The Last Decade
Ray T. Y. So
15 papers receiving 1.3k citations
Hit Papers
Peers
Comparison fields: 5 of 89
- Infectious Diseases 1.2k
- Molecular Biology 345
- Animal Science and Zoology 215
- Radiology, Nuclear Medicine and Imaging 209
- Immunology 135
Countries citing papers authored by Ray T. Y. So
This map shows the geographic impact of Ray T. Y. So'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 Ray T. Y. So with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ray T. Y. So more than expected).
Fields of papers citing papers by Ray T. Y. So
This network shows the impact of papers produced by Ray T. Y. So. 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 Ray T. Y. So. The network helps show where Ray T. Y. So may publish in the future.
Co-authorship network of co-authors of Ray T. Y. So
This figure shows the co-authorship network connecting the top 25 collaborators of Ray T. Y. So. A scholar is included among the top collaborators of Ray T. Y. So 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 Ray T. Y. So. Ray T. Y. So 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 | 3 | |
| 3 | 14 | |
| 4 | 7 | |
| 5 | 3 | |
| 6 | 2 | |
| 7 | 8 | |
| 8 | 0 | |
| 9 | 272 | |
| 10 | A highly conserved cryptic epitope in the receptor binding domains of SARS-CoV-2 and SARS-CoV breakdown → | 899 |
| 11 | 8 | |
| 12 | 1 | |
| 13 | 25 | |
| 14 | 22 | |
| 15 | 55 | |
| 16 | 27 | |
| 17 | 21 |
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.