Mark Tsang
Impact in
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- Immune Cell Function and Interaction
- T-cell and B-cell Immunology
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- Muscle Physiology and Disorders
- Metabolism, Diabetes, and Cancer
- Gut microbiota and health
Papers in
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- NF-κB Signaling Pathways 2
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- T-cell and B-cell Immunology 2
- Immune Cell Function and Interaction 2
- Co-authors
- Brian M. Iritani (12 shared papers)Heon Park (9 shared papers)Weiping Zeng (2 shared papers)Piper M. Treuting (2 shared papers)Lillian Maggio‐Price (2 shared papers)Helle Bielefeldt‐Ohmann (2 shared papers)David M. Hockenbery (4 shared papers)Daciana H. Margineantu (4 shared papers)
- Journals
- The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)The Journal of Immunology (2 papers)Oncogenesis (1 paper)
- Partner nations
- United StatesCanadaSouth Africa
In The Last Decade
Mark Tsang
14 papers receiving 758 citations
Peers
Comparison fields: 5 of 84
- Immunology 206
- Molecular Biology 375
- Cancer Research 70
- Oncology 121
- Genetics 128
Countries citing papers authored by Mark Tsang
This map shows the geographic impact of Mark 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 Mark Tsang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Tsang more than expected).
Fields of papers citing papers by Mark Tsang
This network shows the impact of papers produced by Mark 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 Mark Tsang. The network helps show where Mark Tsang may publish in the future.
Co-authors
The 25 scholars most cited alongside Mark 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 | 2006 | 189 | |
| 2 | 2014 | 98 | |
| 3 | 2007 | 89 | |
| 4 | 2005 | 84 | |
| 5 | 2012 | 72 | |
| 6 | 2016 | 70 | |
| 7 | 2008 | 50 | |
| 8 | 2014 | 38 | |
| 9 | 2018 | 22 | |
| 10 | 2019 | 20 | |
| 11 | 2013 | 18 | |
| 12 | 2000 | 9 | |
| 13 | 2017 | 4 | |
| 14 | 2007 | 2 |
About Mark Tsang
Mark Tsang is a scholar working on Cancer Research, Immunology, Physiology, Molecular Biology and Oncology, having authored 14 papers that have together received 765 indexed citations. Recurring topics across this work include Pancreatic function and diabetes (3 papers), NF-κB Signaling Pathways (2 papers), PI3K/AKT/mTOR signaling in cancer (2 papers), Metabolism, Diabetes, and Cancer (2 papers), T-cell and B-cell Immunology (2 papers), Immune Cell Function and Interaction (2 papers), CRISPR and Genetic Engineering (1 paper) and TGF-β signaling in diseases (1 paper). The work is most often cited by research in Immunology (206 citations), Molecular Biology (375 citations), Cancer Research (70 citations), Oncology (121 citations) and Genetics (128 citations). Mark Tsang has collaborated with scholars based in United States, Canada and South Africa. Frequent co-authors include Brian M. Iritani, Heon Park, Weiping Zeng, Piper M. Treuting, Lillian Maggio‐Price, Helle Bielefeldt‐Ohmann, David M. Hockenbery, Daciana H. Margineantu, Tania Habib and Julita A. Ramírez. Their work appears in journals such as The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, PLoS ONE, The Journal of Immunology and Oncogenesis.
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.