Ryan Tsang
Impact in
- Nephrology top 5%
- Renal Diseases and Glomerulopathies
- Dialysis and Renal Disease Management
- Chronic Kidney Disease and Diabetes
- Transplantation top 10%
- Renal Transplantation Outcomes and Treatments
Papers in
-
- Renal Diseases and Glomerulopathies 2
- Surgery 3
- Co-authors
- Tak Mao Chan (9 shared papers)Susan Yung (5 shared papers)Patrick Shu‐Hang Yung (3 shared papers)Kar Neng Lai (3 shared papers)Kwok Wah Chan (3 shared papers)Sing Leung Lui (2 shared papers)S. Tam (1 shared paper)Qing Zhang (1 shared paper)
- Journals
- Journal of the American Society of Nephrology (2 papers)Nephrology Dialysis Transplantation (2 papers)Lupus (2 papers)American Journal of Nephrology (1 paper)Transplant International (1 paper)
- Partner nations
- Hong KongChinaUnited States
In The Last Decade
Ryan Tsang
12 papers receiving 363 citations
Peers
Comparison fields: 5 of 63
- Nephrology 139
- Transplantation 31
- Rheumatology 136
- Immunology 133
- Immunology and Allergy 22
Countries citing papers authored by Ryan Tsang
This map shows the geographic impact of Ryan Tsang'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 Ryan Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ryan Tsang more than expected).
Fields of papers citing papers by Ryan Tsang
This network shows the impact of papers produced by Ryan Tsang. 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 Ryan Tsang. The network helps show where Ryan Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Ryan Tsang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2005 | 78 | |
| 2 | 2008 | 55 | |
| 3 | 2006 | 48 | |
| 4 | 2006 | 39 | |
| 5 | 2006 | 35 | |
| 6 | 2002 | 32 | |
| 7 | 2003 | 29 | |
| 8 | 2004 | 24 | |
| 9 | 2008 | 14 | |
| 10 | 2022 | 8 | |
| 11 | 2022 | 6 | |
| 12 | 2024 | 1 | |
| 13 | 2023 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 |
About Ryan Tsang
Ryan Tsang is a scholar working on Nephrology, Surgery, Hardware and Architecture, Rheumatology and Molecular Biology, having authored 15 papers that have together received 369 indexed citations. Recurring topics across this work include Physical Unclonable Functions (PUFs) and Hardware Security (3 papers), Systemic Lupus Erythematosus Research (3 papers), Renal Transplantation Outcomes and Treatments (2 papers), Proteoglycans and glycosaminoglycans research (2 papers), Renal Diseases and Glomerulopathies (2 papers), Advanced Malware Detection Techniques (2 papers), Lymphatic System and Diseases (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Nephrology (139 citations), Transplantation (31 citations), Rheumatology (136 citations), Immunology (133 citations) and Immunology and Allergy (22 citations). Ryan Tsang has collaborated with scholars based in Hong Kong, China and United States. Frequent co-authors include Tak Mao Chan, Susan Yung, Patrick Shu‐Hang Yung, Kar Neng Lai, Kwok Wah Chan, Sing Leung Lui, S. Tam, Qing Zhang, Xiaorui Chen and Qing Zhang. Their work appears in journals such as Journal of the American Society of Nephrology, Nephrology Dialysis Transplantation, Lupus, American Journal of Nephrology and Transplant International.
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.