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 10%
- Cell Adhesion Molecules Research
Papers in
-
- Glycosylation and Glycoproteins Research 2
- Ubiquitin and proteasome pathways 2
- Retinal Development and Disorders 1
- Protein Degradation and Inhibitors 1
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- Cellular transport and secretion 3
- Cellular Mechanics and Interactions 2
- Co-authors
- Hamid Band (6 shared papers)Aaron R. Dinner (1 shared paper)Osami Kanagawa (1 shared paper)Subhadip Raychaudhuri (1 shared paper)Tasha N. Sims (1 shared paper)Gabriele Campi (1 shared paper)Richard Burack (1 shared paper)Mary A. Markiewicz (1 shared paper)
- Journals
- Gene (1 paper)The International Journal of Biochemistry & Cell Biology (1 paper)Journal of Biological Chemistry (1 paper)Science (1 paper)Proceedings of the National Academy of Sciences (1 paper)
- Partner nations
- United StatesJapanTaiwan
In The Last Decade
Chun Tu
9 papers receiving 742 citations
Peers
Comparison fields: 5 of 80
- Immunology 359
- Immunology and Allergy 86
- Cell Biology 145
- Oncology 151
- Molecular Biology 329
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 | 444 | |
| 2 | 2008 | 92 | |
| 3 | 2009 | 74 | |
| 4 | 2010 | 59 | |
| 5 | Activation of Keap1/Nrf2 signaling pathway by nuclear epidermal growth factor receptor in cancer cells. | 2014 | 35 |
| 6 | 2009 | 23 | |
| 7 | 2014 | 14 | |
| 8 | 2011 | 13 | |
| 9 | 2000 | 1 |
About Chun Tu
Chun Tu is a scholar working on Molecular Biology, Cell Biology, Genetics, Pulmonary and Respiratory Medicine and Animal Science and Zoology, having authored 9 papers that have together received 755 indexed citations. Recurring topics across this work include Cellular transport and secretion (3 papers), Glycosylation and Glycoproteins Research (2 papers), Ubiquitin and proteasome pathways (2 papers), Cellular Mechanics and Interactions (2 papers), Retinal Development and Disorders (1 paper), Animal Nutrition and Physiology (1 paper), Protein Degradation and Inhibitors (1 paper) and Genetic Mapping and Diversity in Plants and Animals (1 paper). The work is most often cited by research in Immunology (359 citations), Immunology and Allergy (86 citations), Cell Biology (145 citations), Oncology (151 citations) and Molecular Biology (329 citations). Chun Tu has collaborated with scholars based in United States, Japan and Taiwan. Frequent co-authors include Hamid Band, Aaron R. Dinner, Osami Kanagawa, Subhadip Raychaudhuri, Tasha N. Sims, Gabriele Campi, Richard Burack, Mary A. Markiewicz, Michael L. Dustin and Arup K. Chakraborty. Their work appears in journals such as Gene, The International Journal of Biochemistry & Cell Biology, Journal of Biological Chemistry, Science and Proceedings of the National Academy of Sciences.
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.