Tinyi Chu
Impact in
- Biological Psychiatry top 5%
- Tryptophan and brain disorders
- Toxicology top 1%
- Forensic Toxicology and Drug Analysis
Papers in
-
- Genomics and Chromatin Dynamics 6
- RNA and protein synthesis mechanisms 4
- Genomics and Phylogenetic Studies 3
- Single-cell and spatial transcriptomics 3
- RNA Research and Splicing 3
-
- Cancer Genomics and Diagnostics 2
- Co-authors
- Charles G. Danko (10 shared papers)Zhong Wang (4 shared papers)Dana Pe’er (3 shared papers)Walter K. Beech (2 shared papers)Oliver J. Ubeda (2 shared papers)Greg M. Cole (2 shared papers)Sally Ann Frautschy (3 shared papers)Bruce Teter (2 shared papers)
- Journals
- Nature Genetics (2 papers)Nature Cancer (2 papers)PeerJ (1 paper)Neurobiology of Disease (1 paper)Nature Immunology (1 paper)
- Partner nations
- United StatesChinaHong Kong
In The Last Decade
Tinyi Chu
23 papers receiving 2.1k citations
Tinyi Chu's Hit Papers
Peers
Comparison fields: 5 of 114
- Biological Psychiatry 110
- Toxicology 151
- Neurology 362
- Physiology 660
- Pharmacology 330
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 25 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2000 | 778 | |
| 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 | 366 |
| 3 | 1994 | 204 | |
| 4 | 2002 | 127 | |
| 5 | 2017 | 114 | |
| 6 | 2019 | 107 | |
| 7 | 2022 | 94 | |
| 8 | 2018 | 75 | |
| 9 | 2023 | 68 | |
| 10 | 2022 | 66 | |
| 11 | 2018 | 43 | |
| 12 | 2023 | 37 | |
| 13 | 2024 | 33 | |
| 14 | 2018 | 23 | |
| 15 | 2002 | 15 | |
| 16 | 2019 | 15 | |
| 17 | 2018 | 12 | |
| 18 | 2018 | 6 | |
| 19 | 2018 | 5 | |
| 20 | 2024 | 4 |
About Tinyi Chu
Tinyi Chu is a scholar working on Molecular Biology, Cancer Research, Physiology, Oncology and Neurology, having authored 25 papers that have together received 2.2k indexed citations. Recurring topics across this work include Genomics and Chromatin Dynamics (6 papers), Alzheimer's disease research and treatments (4 papers), RNA and protein synthesis mechanisms (4 papers), Genomics and Phylogenetic Studies (3 papers), Single-cell and spatial transcriptomics (3 papers), RNA Research and Splicing (3 papers), Cancer Genomics and Diagnostics (2 papers) and Neuroinflammation and Neurodegeneration Mechanisms (2 papers). The work is most often cited by research in Biological Psychiatry (110 citations), Toxicology (151 citations), Neurology (362 citations), Physiology (660 citations) and Pharmacology (330 citations). Tinyi Chu has collaborated with scholars based in United States, China and Hong Kong. Frequent co-authors include Charles G. Danko, Zhong Wang, Dana Pe’er, Walter K. Beech, Oliver J. Ubeda, Greg M. Cole, Sally Ann Frautschy, Bruce Teter, Giselle P. Lim and Karen H. Ashe. Their work appears in journals such as Nature Genetics, Nature Cancer, PeerJ, Neurobiology of Disease and Nature Immunology.
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.