K. Y. Tsang
- Co-authors
- Jeffrey SchlomCarol NierodaPierpaolo CorrealeS ZarembaMingzhi ZhuDavid J. ColeH. Hugh FudenbergJohn Marshall
- Topics
- Immunotherapy and Immune Responses (14 papers)Monoclonal and Polyclonal Antibodies Research (5 papers)Cancer Research and Treatments (4 papers)
- Cited by
- ImmunologyVirologyOncology
- Journals
- Proceedings of the National Academy of SciencesJournal of Clinical InvestigationThe Journal of Experimental Medicine
- Partner nations
- United StatesItalyCanada
In The Last Decade
K. Y. Tsang
31 papers receiving 689 citations
Peers
Comparison fields: 5 of 75
- Immunology 521
- Molecular Biology 271
- Oncology 268
- Radiology, Nuclear Medicine and Imaging 82
- Genetics 77
Countries citing papers authored by K. Y. Tsang
This map shows the geographic impact of K. Y. 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 K. Y. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites K. Y. Tsang more than expected).
Fields of papers citing papers by K. Y. Tsang
This network shows the impact of papers produced by K. Y. 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 K. Y. Tsang. The network helps show where K. Y. Tsang may publish in the future.
Co-authorship network of co-authors of K. Y. Tsang
This figure shows the co-authorship network connecting the top 25 collaborators of K. Y. Tsang. A scholar is included among the top collaborators of K. Y. Tsang 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 K. Y. Tsang. K. Y. Tsang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 10 | |
| 2 | 3 | |
| 3 | 23 | |
| 4 | 1 | |
| 5 | 13 | |
| 6 | 2 | |
| 7 | 19 | |
| 8 | 215 | |
| 9 | 2 | |
| 10 | 47 | |
| 11 | 11 | |
| 12 | 7 | |
| 13 | 2 | |
| 14 | Specificity of anti-lymphocyte antibodies in sera from patients with AIDS-related complex (ARC) and healthy homosexuals. | 29 |
| 15 | Humoral-mediated suppression of interleukin 2-dependent target cell proliferation in acquired immune deficiency syndrome (AIDS): interference with normal IL-2 receptor expression. | 6 |
| 16 | 9 | |
| 17 | 1 | |
| 18 | 22 | |
| 19 | 24 | |
| 20 | 33 |
About K. Y. Tsang
K. Y. Tsang is a scholar working on Immunology, Biotechnology and Virology, having authored 32 papers that have together received 718 indexed citations. Recurring topics across this work include Immunotherapy and Immune Responses (14 papers), Monoclonal and Polyclonal Antibodies Research (5 papers) and Cancer Research and Treatments (4 papers). The work is most often cited by research in Immunology (521 citations), Virology (54 citations) and Oncology (268 citations). K. Y. Tsang has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Jeffrey Schlom, Carol Nieroda, Pierpaolo Correale, S Zaremba, Mingzhi Zhu, David J. Cole, H. Hugh Fudenberg, John Marshall, Miaozhang Zhu and Raymond P. Donnelly. Their work appears in journals such as Proceedings of the National Academy of Sciences, Journal of Clinical Investigation and The Journal of Experimental Medicine.
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.