Chun Tu
Impact in
- Immunology top 10%
- T-cell and B-cell Immunology
- Immune Cell Function and Interaction
- Immunotherapy and Immune Responses
- Immunology and Allergy top 5%
- Cell Adhesion Molecules Research
Papers in
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- Cellular Mechanics and Interactions 2
- Cellular transport and secretion 2
- Endoplasmic Reticulum Stress and Disease 1
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- Ubiquitin and proteasome pathways 2
- Glycosylation and Glycoproteins Research 1
- Wnt/β-catenin signaling in development and cancer 1
- Co-authors
- Hamid Band (6 shared papers)Osami Kanagawa (1 shared paper)Arup K. Chakraborty (1 shared paper)Mary A. Markiewicz (1 shared paper)Richard Burack (1 shared paper)Kyeong‐Hee Lee (1 shared paper)Andréy S. Shaw (1 shared paper)Subhadip Raychaudhuri (1 shared paper)
- Journals
- Cancer Cell (1 paper)Journal of Biological Chemistry (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Proceedings of the National Academy of Sciences (1 paper)Gene (1 paper)
- Partner nations
- United StatesTaiwanJapan
In The Last Decade
Chun Tu
10 papers receiving 839 citations
Peers
Comparison fields: 5 of 82
- Immunology 383
- Immunology and Allergy 88
- Cell Biology 150
- Oncology 163
- Cancer Research 76
Countries citing papers authored by Chun Tu
This map shows the geographic impact of Chun Tu'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 Chun Tu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Chun Tu more than expected).
Fields of papers citing papers by Chun Tu
This network shows the impact of papers produced by Chun Tu. 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 Chun Tu. The network helps show where Chun Tu may publish in the future.
Co-authors
The 25 scholars most cited alongside Chun Tu, 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 | 2003 | 466 | |
| 2 | 2008 | 98 | |
| 3 | 2009 | 81 | |
| 4 | 2010 | 59 | |
| 5 | 2013 | 59 | |
| 6 | Activation of Keap1/Nrf2 signaling pathway by nuclear epidermal growth factor receptor in cancer cells. | 2014 | 38 |
| 7 | 2009 | 25 | |
| 8 | 2011 | 16 | |
| 9 | 2014 | 14 | |
| 10 | 2000 | 1 |
About Chun Tu
Chun Tu is a scholar working on Cell Biology, Molecular Biology, Genetics, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 10 papers that have together received 857 indexed citations. Recurring topics across this work include Cellular Mechanics and Interactions (2 papers), Cellular transport and secretion (2 papers), Ubiquitin and proteasome pathways (2 papers), Immune Cell Function and Interaction (1 paper), Glycosylation and Glycoproteins Research (1 paper), Endoplasmic Reticulum Stress and Disease (1 paper), Cancer-related Molecular Pathways (1 paper) and Wnt/β-catenin signaling in development and cancer (1 paper). The work is most often cited by research in Immunology (383 citations), Immunology and Allergy (88 citations), Cell Biology (150 citations), Oncology (163 citations) and Cancer Research (76 citations). Chun Tu has collaborated with scholars based in United States, Taiwan and Japan. Frequent co-authors include Hamid Band, Osami Kanagawa, Arup K. Chakraborty, Mary A. Markiewicz, Richard Burack, Kyeong‐Hee Lee, Andréy S. Shaw, Subhadip Raychaudhuri, Rajat Varma and Paul M. Allen. Their work appears in journals such as Cancer Cell, Journal of Biological Chemistry, The International Journal of Biochemistry & Cell Biology, Proceedings of the National Academy of Sciences and Gene.
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.