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
- Gut microbiota and health
- Metabolism, Diabetes, and Cancer
- PI3K/AKT/mTOR signaling in cancer
Papers in
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- PI3K/AKT/mTOR signaling in cancer 3
- Metabolism, Diabetes, and Cancer 2
- Surgery 4
- Pancreatic function and diabetes 3
- Co-authors
- Brian M. Iritani (13 shared papers)Piper M. Treuting (2 shared papers)Helle Bielefeldt‐Ohmann (2 shared papers)Weiping Zeng (2 shared papers)Lillian Maggio‐Price (2 shared papers)Heon Park (9 shared papers)David M. Hockenbery (5 shared papers)Daciana Margineantu (5 shared papers)
- Journals
- The Journal of Immunology (3 papers)The Journal of Experimental Medicine (2 papers)Proceedings of the National Academy of Sciences (2 papers)PLoS ONE (2 papers)Immunity (1 paper)
- Partner nations
- United StatesSouth AfricaCanada
In The Last Decade
Mark Tsang
15 papers receiving 708 citations
Peers
Comparison fields: 5 of 84
- Immunology 193
- Molecular Biology 352
- Oncology 120
- Cancer Research 62
- Genetics 112
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 | 185 | |
| 2 | 2014 | 90 | |
| 3 | 2007 | 88 | |
| 4 | 2005 | 83 | |
| 5 | 2016 | 65 | |
| 6 | 2012 | 62 | |
| 7 | 2008 | 45 | |
| 8 | 2014 | 31 | |
| 9 | 2013 | 18 | |
| 10 | 2018 | 18 | |
| 11 | 2019 | 15 | |
| 12 | 2000 | 7 | |
| 13 | 2017 | 4 | |
| 14 | 2007 | 3 | |
| 15 | 2020 | 1 | |
| 16 | 2016 | 0 |
About Mark Tsang
Mark Tsang is a scholar working on Molecular Biology, Surgery, Oncology, Physiology and Immunology, having authored 16 papers that have together received 715 indexed citations. Recurring topics across this work include PI3K/AKT/mTOR signaling in cancer (3 papers), Pancreatic function and diabetes (3 papers), T-cell and B-cell Immunology (2 papers), Metabolism, Diabetes, and Cancer (2 papers), Immune Cell Function and Interaction (2 papers), NF-κB Signaling Pathways (2 papers), Muscle metabolism and nutrition (1 paper) and Microgrid Control and Optimization (1 paper). The work is most often cited by research in Immunology (193 citations), Molecular Biology (352 citations), Oncology (120 citations), Cancer Research (62 citations) and Genetics (112 citations). Mark Tsang has collaborated with scholars based in United States, South Africa and Canada. Frequent co-authors include Brian M. Iritani, Piper M. Treuting, Helle Bielefeldt‐Ohmann, Weiping Zeng, Lillian Maggio‐Price, Heon Park, David M. Hockenbery, Daciana Margineantu, Tania Habib and Terri Iwata. Their work appears in journals such as The Journal of Immunology, The Journal of Experimental Medicine, Proceedings of the National Academy of Sciences, PLoS ONE and Immunity.
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.