Tinyi Chu
Impact in
- Biological Psychiatry top 5%
- Neurology top 2%
- Neuroinflammation and Neurodegeneration Mechanisms
Papers in
-
- Genomics and Chromatin Dynamics 7
- RNA and protein synthesis mechanisms 5
- RNA Research and Splicing 3
- Genomics and Phylogenetic Studies 3
- RNA modifications and cancer 3
- Single-cell and spatial transcriptomics 2
- Oncology 4
- Cancer Cells and Metastasis 2
- Co-authors
- Charles G. Danko (11 shared papers)Oliver J. Ubeda (2 shared papers)Walter Beech (2 shared papers)Sally A. Frautschy (3 shared papers)Greg M. Cole (2 shared papers)Giselle P. Lim (2 shared papers)Bruce Teter (2 shared papers)Zhong Wang (4 shared papers)
- Journals
- Nature Genetics (2 papers)Cell stem cell (1 paper)Current Protocols in Bioinformatics (1 paper)Biochemical Pharmacology (1 paper)PeerJ (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Tinyi Chu
21 papers receiving 1.9k citations
Tinyi Chu's Hit Papers
Peers
Comparison fields: 5 of 112
- Biological Psychiatry 109
- Neurology 354
- Toxicology 146
- Physiology 646
- Pharmacology 321
Countries citing papers authored by Tinyi Chu
This map shows the geographic impact of Tinyi 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 Tinyi Chu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tinyi Chu more than expected).
Fields of papers citing papers by Tinyi Chu
This network shows the impact of papers produced by Tinyi 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 Tinyi Chu. The network helps show where Tinyi Chu may publish in the future.
Co-authors
The 25 scholars most cited alongside Tinyi 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
Showing the 20 most-cited of 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Ibuprofen Suppresses Plaque Pathology and Inflammation in a Mouse Model for Alzheimer's Disease Hit paper breakdown → | 2000 | 771 |
| 2 | Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology Hit paper breakdown → | 2022 | 274 |
| 3 | 1994 | 197 | |
| 4 | 2002 | 126 | |
| 5 | 2017 | 110 | |
| 6 | 2019 | 102 | |
| 7 | 2022 | 82 | |
| 8 | 2018 | 75 | |
| 9 | 2022 | 64 | |
| 10 | 2018 | 61 | |
| 11 | 2018 | 44 | |
| 12 | 2018 | 21 | |
| 13 | 2019 | 15 | |
| 14 | 2018 | 12 | |
| 15 | 2018 | 6 | |
| 16 | 2018 | 5 | |
| 17 | 2024 | 2 | |
| 18 | 2019 | 2 | |
| 19 | 1999 | 2 | |
| 20 | 2025 | 1 |
About Tinyi Chu
Tinyi Chu is a scholar working on Molecular Biology, Oncology, Physiology, Cancer Research and Computational Theory and Mathematics, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers), Alzheimer's disease research and treatments (4 papers), RNA Research and Splicing (3 papers), Genomics and Phylogenetic Studies (3 papers), RNA modifications and cancer (3 papers), Single-cell and spatial transcriptomics (2 papers) and Cancer Cells and Metastasis (2 papers). The work is most often cited by research in Biological Psychiatry (109 citations), Neurology (354 citations), Toxicology (146 citations), Physiology (646 citations) and Pharmacology (321 citations). Tinyi Chu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Charles G. Danko, Oliver J. Ubeda, Walter Beech, Sally A. Frautschy, Greg M. Cole, Giselle P. Lim, Bruce Teter, Zhong Wang, Dana Pe’er and Pisin Chen. Their work appears in journals such as Nature Genetics, Cell stem cell, Current Protocols in Bioinformatics, Biochemical Pharmacology and PeerJ.
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.