Tingting Chu
Impact in
- Virology top 10%
-
- Ubiquitin and proteasome pathways
- Protein Degradation and Inhibitors
- RNA Interference and Gene Delivery
Papers in
-
- Viral Infectious Diseases and Gene Expression in Insects 4
- Bone Metabolism and Diseases 3
- Protein Degradation and Inhibitors 3
- Glycosylation and Glycoproteins Research 2
- Journals
- eLife (2 papers)Journal of Virology (2 papers)Chinese Journal of Chemistry (1 paper)Scientific Reports (1 paper)Food Research International (1 paper)
- Partner nations
- ChinaUnited StatesSweden
In The Last Decade
Tingting Chu
31 papers receiving 891 citations
Hit Papers
Peers
Comparison fields: 5 of 82
- Virology 44
- Molecular Biology 614
- Genetics 233
- Immunology 174
- Infectious Diseases 111
Countries citing papers authored by Tingting Chu
This map shows the geographic impact of Tingting Chu'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 Tingting Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tingting Chu more than expected).
Fields of papers citing papers by Tingting Chu
This network shows the impact of papers produced by Tingting Chu. 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 Tingting Chu. The network helps show where Tingting Chu may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Tingting Chu, 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 | 2025 | 0 | |
| 2 | 2025 | 3 | |
| 3 | 2025 | 2 | |
| 4 | 2025 | 0 | |
| 5 | 2025 | 0 | |
| 6 | 2025 | 1 | |
| 7 | 2024 | 1 | |
| 8 | 2024 | 10 | |
| 9 | 2024 | 2 | |
| 10 | 2024 | 8 | |
| 11 | 2024 | 0 | |
| 12 | 2022 | 38 | |
| 13 | Tonic prime-boost of STING signalling mediates Niemann–Pick disease type C Hit paper breakdown → | 2021 | 160 |
| 14 | 2018 | 36 | |
| 15 | 2017 | 11 | |
| 16 | 2017 | 12 | |
| 17 | 2016 | 181 | |
| 18 | 2016 | 12 | |
| 19 | 2014 | 9 | |
| 20 | Downstream insertion of the adenovirus tripartite leader sequence enhances expression in universal eukaryotic vectors. | 1993 | 40 |
About Tingting Chu
Tingting Chu is a scholar working on Molecular Biology, Immunology and Allergy, Physiology, Genetics and Developmental Neuroscience, having authored 36 papers that have together received 902 indexed citations. Recurring topics across this work include Alzheimer's disease research and treatments (5 papers), Virus-based gene therapy research (4 papers), Viral Infectious Diseases and Gene Expression in Insects (4 papers), Bone Metabolism and Diseases (3 papers), MicroRNA in disease regulation (3 papers), Protein Degradation and Inhibitors (3 papers), Glycosylation and Glycoproteins Research (2 papers) and interferon and immune responses (2 papers). The work is most often cited by research in Virology (44 citations), Molecular Biology (614 citations), Genetics (233 citations), Immunology (174 citations) and Infectious Diseases (111 citations). Tingting Chu has collaborated with scholars based in China, United States and Sweden. Frequent co-authors include Ralph Dornburg, Yanmei Li, Yong‐Xiang Chen, Yufen Zhao, Na Gao, Xintao Tu, Kun Yang, Nan Yan, Qianqian Li and Jianjun Wu. Their work appears in journals such as eLife, Journal of Virology, Chinese Journal of Chemistry, Scientific Reports and Food Research International.
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.