Tinyi Chu

3.1k total citations · 2 hit papers
20 papers, 1.9k citations indexed

About

Tinyi Chu is a scholar working on Molecular Biology, Oncology and Cancer Research. According to data from OpenAlex, Tinyi Chu has authored 20 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 4 papers in Oncology and 4 papers in Cancer Research. Recurrent topics in Tinyi Chu's work include Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). Tinyi Chu is often cited by papers focused on Genomics and Chromatin Dynamics (7 papers), RNA and protein synthesis mechanisms (5 papers) and Alzheimer's disease research and treatments (3 papers). Tinyi Chu collaborates with scholars based in United States, China and Finland. Tinyi Chu's co-authors include Charles G. Danko, Walter Beech, Oliver J. Ubeda, Giselle P. Lim, Greg M. Cole, Sally A. Frautschy, Bruce Teter, Zhong Wang, Pisin Chen and Fu Yang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Genetics.

In The Last Decade

Tinyi Chu

18 papers receiving 1.8k citations

Hit Papers

Ibuprofen Suppresses Plaque Pathology and Inflammation in... 2000 2026 2008 2017 2000 2022 200 400 600

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Tinyi Chu United States 13 815 659 364 348 236 20 1.9k
François Mouton‐Liger France 31 987 1.2× 859 1.3× 346 1.0× 190 0.5× 321 1.4× 78 2.3k
Kyong Nyon Nam United States 21 592 0.7× 413 0.6× 516 1.4× 221 0.6× 155 0.7× 31 1.6k
Brian Lockhart France 24 956 1.2× 518 0.8× 158 0.4× 380 1.1× 450 1.9× 51 2.0k
Akiko Asada Japan 27 940 1.2× 390 0.6× 123 0.3× 155 0.4× 554 2.3× 80 1.9k
Tatsurou Yagami Japan 29 1.1k 1.4× 503 0.8× 205 0.6× 386 1.1× 453 1.9× 68 2.1k
Yuemang Yao United States 25 694 0.9× 982 1.5× 281 0.8× 527 1.5× 372 1.6× 37 2.3k
Chun‐Ling Dai United States 22 741 0.9× 890 1.4× 452 1.2× 237 0.7× 335 1.4× 51 1.9k
Faraj Terro France 25 1.2k 1.5× 1.2k 1.9× 354 1.0× 447 1.3× 529 2.2× 51 2.6k
Robert P. Strosznajder Poland 25 1.0k 1.3× 574 0.9× 221 0.6× 164 0.5× 241 1.0× 69 1.9k
Wenming Li China 24 788 1.0× 419 0.6× 177 0.5× 389 1.1× 323 1.4× 54 1.8k

Countries citing papers authored by Tinyi Chu

Since Specialization
Citations

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

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Tinyi Chu

This figure shows the co-authorship network connecting the top 25 collaborators of Tinyi Chu. A scholar is included among the top collaborators of Tinyi Chu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tinyi Chu. Tinyi Chu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Lenz, Joan Sesing, E. H. Belcher, Kaiwen Chen, et al.. (2025). Urine Cell-Free RNA vs Plasma Cell-Free RNA for Monitoring of Kidney Injury and Immune Complications. Clinical Chemistry. 71(10). 1058–1066.
2.
Jiménez-Sánchez, Alejandro, Sitara Persad, Akimasa Hayashi, et al.. (2025). Transcriptomic Plasticity is a Hallmark of Metastatic Pancreatic Cancer. Cancer Research.
3.
Wen, Wen, Jiaxin Zhong, Zhaoxi Zhang, et al.. (2024). dHICA: a deep transformer-based model enables accurate histone imputation from chromatin accessibility. Briefings in Bioinformatics. 25(6). 2 indexed citations
4.
Niec, Rachel, Tinyi Chu, Marina Schernthanner, et al.. (2022). Lymphatics act as a signaling hub to regulate intestinal stem cell activity. Cell stem cell. 29(7). 1067–1082.e18. 80 indexed citations
5.
Wang, Zhong, Alexandra G. Chivu, Lauren A. Choate, et al.. (2022). Prediction of histone post-translational modification patterns based on nascent transcription data. Nature Genetics. 54(3). 295–305. 55 indexed citations
6.
Chu, Tinyi, Zhong Wang, Dana Pe’er, & Charles G. Danko. (2022). Cell type and gene expression deconvolution with BayesPrism enables Bayesian integrative analysis across bulk and single-cell RNA sequencing in oncology. Nature Cancer. 3(4). 505–517. 242 indexed citations breakdown →
7.
Lu, Yen‐Chun, Tinyi Chu, Matthew S. Hall, et al.. (2019). Physical confinement induces malignant transformation in mammary epithelial cells. Biomaterials. 217. 119307–119307. 13 indexed citations
8.
Chu, Tinyi, et al.. (2019). Funmap2: an R package for QTL mapping using longitudinal phenotypes. PeerJ. 7. e7008–e7008. 2 indexed citations
9.
Teter, Bruce, Takashi Morihara, Giselle P. Lim, et al.. (2019). Curcumin restores innate immune Alzheimer's disease risk gene expression to ameliorate Alzheimer pathogenesis. Neurobiology of Disease. 127. 432–448. 91 indexed citations
10.
Wang, Zhong, Tinyi Chu, Lauren A. Choate, & Charles G. Danko. (2018). Identification of regulatory elements from nascent transcription using dREG. Genome Research. 29(2). 293–303. 58 indexed citations
11.
Chu, Tinyi, Xing Weng, Rui Wang, et al.. (2018). The ribosomal maturation factor P from Mycobacterium smegmatis facilitates the ribosomal biogenesis by binding to the small ribosomal protein S12. Journal of Biological Chemistry. 294(1). 372–378. 12 indexed citations
12.
Horibata, Sachi, Edward J. Rice, Hui Zheng, et al.. (2018). A bi-stable feedback loop between GDNF, EGR1, and ERα contribute to endocrine resistant breast cancer. PLoS ONE. 13(4). e0194522–e0194522. 5 indexed citations
13.
Danko, Charles G., Lauren A. Choate, Edward J. Rice, et al.. (2018). Dynamic evolution of regulatory element ensembles in primate CD4+ T cells. Nature Ecology & Evolution. 2(3). 537–548. 43 indexed citations
14.
Chu, Tinyi, Edward J. Rice, Gregory T. Booth, et al.. (2018). Chromatin run-on and sequencing maps the transcriptional regulatory landscape of glioblastoma multiforme. Nature Genetics. 50(11). 1553–1564. 72 indexed citations
15.
Chu, Tinyi, et al.. (2018). Discovering Transcriptional Regulatory Elements From Run‐On and Sequencing Data Using the Web‐Based dREG Gateway. Current Protocols in Bioinformatics. 66(1). e70–e70. 17 indexed citations
16.
Wang, Zhong, et al.. (2018). Building a Science Gateway For Processing and Modeling Sequencing Data Via Apache Airavata. PubMed. 2018. 1–7. 5 indexed citations
17.
Vihervaara, Anniina, Dig Bijay Mahat, Michael J. Guertin, et al.. (2017). Transcriptional response to stress is pre-wired by promoter and enhancer architecture. Nature Communications. 8(1). 255–255. 107 indexed citations
18.
Morihara, Takashi, Tinyi Chu, Oliver J. Ubeda, Walter Beech, & G. M. Cole. (2002). Selective inhibition of Aβ42 production by NSAID R‐enantiomers. Journal of Neurochemistry. 83(4). 1009–1012. 122 indexed citations
19.
Lim, Giselle P., Fu Yang, Tinyi Chu, et al.. (2000). Ibuprofen Suppresses Plaque Pathology and Inflammation in a Mouse Model for Alzheimer's Disease. Journal of Neuroscience. 20(15). 5709–5714. 741 indexed citations breakdown →
20.
Tucker, Geoffrey T., M. S. Lennard, S. W. Ellis, et al.. (1994). The demethylenation of methylenedioxymethamphetamine (“ecstasy”) by debrisoquine hydroxylase (CYP2D6). Biochemical Pharmacology. 47(7). 1151–1156. 193 indexed citations

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.

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