Kuei‐Ying Su
About
In The Last Decade
Kuei‐Ying Su
24 papers receiving 308 citations
Peers
Comparison fields: 5 of 70
- Immunology 157
- Rheumatology 110
- Molecular Biology 41
- Oncology 39
- Hematology 38
Countries citing papers authored by Kuei‐Ying Su
This map shows the geographic impact of Kuei‐Ying Su'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 Kuei‐Ying Su with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuei‐Ying Su more than expected).
Fields of papers citing papers by Kuei‐Ying Su
This network shows the impact of papers produced by Kuei‐Ying Su. 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 Kuei‐Ying Su. The network helps show where Kuei‐Ying Su may publish in the future.
Co-authorship network of co-authors of Kuei‐Ying Su
This figure shows the co-authorship network connecting the top 25 collaborators of Kuei‐Ying Su. A scholar is included among the top collaborators of Kuei‐Ying Su 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 Kuei‐Ying Su. Kuei‐Ying Su 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 | 0 | |
| 4 | 3 | |
| 5 | 12 | |
| 6 | 8 | |
| 7 | 16 | |
| 8 | 31 | |
| 9 | 2 | |
| 10 | 15 | |
| 11 | 0 | |
| 12 | 3 | |
| 13 | 4 | |
| 14 | 5 | |
| 15 | 35 | |
| 16 | 1 | |
| 17 | 8 | |
| 18 | 9 | |
| 19 | The Clinical Application of Anti-CCP in Rheumatoid Arthritis and Other Rheumatic Diseases. | 15 |
| 20 | 8 |
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.