John S. Tsang
Impact in
- Cancer Research top 2%
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
- Immunology top 2%
- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
- Immunotherapy and Immune Responses
Papers in
- Immunology 31
- Immune Cell Function and Interaction 13
- T-cell and B-cell Immunology 13
- Immunotherapy and Immune Responses 7
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- MicroRNA in disease regulation 4
- Co-authors
- Alexander van OudenaardenJun ZhuAndrew J. MartinsRonald N. GermainGrace X. Y. ZhengPhillip A. SharpMargaret S. EbertShankar Mukherji
- Journals
- Immunity (5 papers)Trends in Immunology (4 papers)Nature Medicine (3 papers)Journal of Clinical Investigation (3 papers)The Journal of Immunology (3 papers)
- Partner nations
- United StatesUnited KingdomCanada
In The Last Decade
John S. Tsang
55 papers receiving 3.3k citations
Hit Papers
Peers
Comparison fields: 5 of 143
- Cancer Research 827
- Immunology 1.1k
- Molecular Biology 1.7k
- Aging 34
- Virology 75
Countries citing papers authored by John S. Tsang
This map shows the geographic impact of John S. 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 John S. Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites John S. Tsang more than expected).
Fields of papers citing papers by John S. Tsang
This network shows the impact of papers produced by John S. 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 John S. Tsang. The network helps show where John S. Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside John S. 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 | 2024 | 5 | |
| 2 | 2024 | 17 | |
| 3 | 2024 | 8 | |
| 4 | 2024 | 23 | |
| 5 | 2024 | 3 | |
| 6 | 2020 | 29 | |
| 7 | 2020 | 13 | |
| 8 | 2020 | 6 | |
| 9 | 2019 | 6 | |
| 10 | 2018 | 46 | |
| 11 | 2017 | 236 | |
| 12 | 2017 | 33 | |
| 13 | 2016 | 33 | |
| 14 | 2016 | 81 | |
| 15 | 2016 | 13 | |
| 16 | MicroRNAs can generate thresholds in target gene expression | 2011 | 0 |
| 17 | 2010 | 1 | |
| 18 | MicroRNA-Mediated Feedback and Feedforward Loops Are Recurrent Network Motifs in Mammals Hit paper breakdown → | 2007 | 568 |
| 19 | 2000 | 30 | |
| 20 | Recovering branches on the tree of life: an approximation algorithm | 1999 | 1 |
About John S. Tsang
John S. Tsang is a scholar working on Immunology, Cancer Research, Infectious Diseases, Molecular Biology and Computer Graphics and Computer-Aided Design, having authored 59 papers that have together received 3.3k indexed citations. Recurring topics across this work include Immune Cell Function and Interaction (13 papers), T-cell and B-cell Immunology (13 papers), Single-cell and spatial transcriptomics (8 papers), SARS-CoV-2 and COVID-19 Research (7 papers), Immunotherapy and Immune Responses (7 papers), Influenza Virus Research Studies (5 papers), vaccines and immunoinformatics approaches (5 papers) and MicroRNA in disease regulation (4 papers). The work is most often cited by research in Cancer Research (827 citations), Immunology (1.1k citations), Molecular Biology (1.7k citations), Aging (34 citations) and Virology (75 citations). John S. Tsang has collaborated with scholars based in United States, United Kingdom and Canada. Frequent co-authors include Alexander van Oudenaarden, Jun Zhu, Andrew J. Martins, Ronald N. Germain, Grace X. Y. Zheng, Phillip A. Sharp, Margaret S. Ebert, Shankar Mukherji, Stefan Uderhardt and Tim Lämmermann. Their work appears in journals such as Immunity, Trends in Immunology, Nature Medicine, Journal of Clinical Investigation and The Journal of Immunology.
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.