Ting-You Wang

1.0k total citations
18 papers, 186 citations indexed

About

Ting-You Wang is a scholar working on Molecular Biology, Cancer Research and Immunology. According to data from OpenAlex, Ting-You Wang has authored 18 papers receiving a total of 186 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Molecular Biology, 5 papers in Cancer Research and 3 papers in Immunology. Recurrent topics in Ting-You Wang's work include RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ting-You Wang is often cited by papers focused on RNA Research and Splicing (5 papers), RNA modifications and cancer (3 papers) and Cancer-related molecular mechanisms research (3 papers). Ting-You Wang collaborates with scholars based in United States, China and Hong Kong. Ting-You Wang's co-authors include Rendong Yang, Luke H. Hoeppner, Sk. Kayum Alam, Li Wang, Chuen‐Horng Lin, Wanling Yang, Jiangshan Jane Shen, Qi Cao, Yanan Ren and Fei He and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Molecular Cell.

In The Last Decade

Ting-You Wang

15 papers receiving 183 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ting-You Wang United States 9 101 65 30 25 24 18 186
Sirkku Karinen Finland 6 138 1.4× 29 0.4× 24 0.8× 47 1.9× 7 0.3× 8 329
Christopher J. Savoie Japan 11 233 2.3× 109 1.7× 29 1.0× 18 0.7× 9 0.4× 20 372
Parisa Shooshtari Canada 9 156 1.5× 79 1.2× 28 0.9× 26 1.0× 6 0.3× 20 305
Cristiano Guttà Germany 9 196 1.9× 52 0.8× 33 1.1× 40 1.6× 6 0.3× 10 288
Stefanie Warnat‐Herresthal Germany 4 80 0.8× 105 1.6× 20 0.7× 17 0.7× 8 0.3× 6 231
Holger Sueltmann Germany 8 208 2.1× 53 0.8× 61 2.0× 35 1.4× 11 0.5× 8 332
Joseph W. Carl United States 9 86 0.9× 145 2.2× 58 1.9× 27 1.1× 15 0.6× 20 310
Gregor Warsow Germany 10 188 1.9× 21 0.3× 21 0.7× 48 1.9× 9 0.4× 13 330
Diana Cai United States 7 249 2.5× 70 1.1× 21 0.7× 47 1.9× 23 1.0× 13 344

Countries citing papers authored by Ting-You Wang

Since Specialization
Citations

This map shows the geographic impact of Ting-You Wang'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 Ting-You Wang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ting-You Wang more than expected).

Fields of papers citing papers by Ting-You Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ting-You Wang. 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 Ting-You Wang. The network helps show where Ting-You Wang may publish in the future.

Co-authorship network of co-authors of Ting-You Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Ting-You Wang. A scholar is included among the top collaborators of Ting-You Wang 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 Ting-You Wang. Ting-You Wang is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

18 of 18 papers shown
1.
Wang, Ting-You, et al.. (2026). Genomic language model mitigates chimera artifacts in nanopore direct RNA sequencing. Nature Communications. 17(1).
2.
Yang, Yongyong, Ting-You Wang, Yanan Ren, et al.. (2025). Androgen receptor–regulated lncRNA PRCAT71 promotes AR signaling through the interaction with KHSRP in prostate cancer. Science Advances. 11(15). eadk6989–eadk6989.
3.
Wang, Sheng, Emily K. Stroup, Ting-You Wang, Rendong Yang, & Zhe Ji. (2024). Comparative analyses of gene networks mediating cancer metastatic potentials across lineage types. Briefings in Bioinformatics. 25(4).
4.
Wang, Ting-You, et al.. (2023). The influence of preparation of nano-ZrO 2 /α-Al 2 O 3 gradient coating on the corrosion resistance of 316L stainless steel substrate. Science and Engineering of Composite Materials. 30(1). 1 indexed citations
5.
Wang, Ting-You & Rendong Yang. (2021). Integrated protocol for exitron and exitron-derived neoantigen identification using human RNA-seq data with ScanExitron and ScanNeo. STAR Protocols. 2(3). 100788–100788. 8 indexed citations
6.
Ren, Yanan, et al.. (2021). LncGSEA: a versatile tool to infer lncRNA associated pathways from large-scale cancer transcriptome sequencing data. BMC Genomics. 22(1). 574–574. 4 indexed citations
7.
Wang, Ting-You, Qi Liu, Yanan Ren, et al.. (2021). A pan-cancer transcriptome analysis of exitron splicing identifies novel cancer driver genes and neoepitopes. Molecular Cell. 81(10). 2246–2260.e12. 41 indexed citations
8.
Lin, Chuen‐Horng & Ting-You Wang. (2021). A novel convolutional neural network architecture of multispectral remote sensing images for automatic material classification. Signal Processing Image Communication. 97. 116329–116329. 13 indexed citations
9.
Wang, Ting-You, et al.. (2021). The Influence of Rotational Speed on Bonding Strength, Magnetic Properties, and Mechanical Properties of Fe3O4/ZrO2 Magnetic Composites. Journal of Materials Engineering and Performance. 31(3). 1818–1827. 2 indexed citations
10.
Nelson, Andrew C., Thomas J. Turbyville, Srisathiyanarayanan Dharmaiah, et al.. (2020). RAS internal tandem duplication disrupts GTPase-activating protein (GAP) binding to activate oncogenic signaling. Journal of Biological Chemistry. 295(28). 9335–9348. 10 indexed citations
11.
Wang, Ting-You & Rendong Yang. (2020). ScanITD: Detecting internal tandem duplication with robust variant allele frequency estimation. GigaScience. 9(8). 11 indexed citations
12.
Wang, Ting-You, Yongfei Wang, Yan Zhang, et al.. (2019). Identification of Regulatory Modules That Stratify Lupus Disease Mechanism through Integrating Multi-Omics Data. Molecular Therapy — Nucleic Acids. 19. 318–329. 7 indexed citations
13.
Wang, Ting-You, Li Wang, Sk. Kayum Alam, Luke H. Hoeppner, & Rendong Yang. (2019). ScanNeo: identifying indel-derived neoantigens using RNA-Seq data. Bioinformatics. 35(20). 4159–4161. 34 indexed citations
14.
Wang, Yongfei, Yan Zhang, Zhengwei Zhu, et al.. (2018). Identification of ST3AGL4, MFHAS1, CSNK2A2 and CD226 as loci associated with systemic lupus erythematosus (SLE) and evaluation of SLE genetics in drug repositioning. Annals of the Rheumatic Diseases. 77(7). 1078–1084. 22 indexed citations
15.
Shen, Jiangshan Jane, Chao Yang, Yongfei Wang, et al.. (2018). HLA-IMPUTER: an easy to use web application for HLA imputation and association analysis using population-specific reference panels. Bioinformatics. 35(7). 1244–1246. 3 indexed citations
16.
Shen, Jiangshan Jane, Ting-You Wang, & Wanling Yang. (2017). Regulatory and evolutionary signatures of sex-biased genes on both the X chromosome and the autosomes. Biology of Sex Differences. 8(1). 35–35. 9 indexed citations
17.
Wang, Ting-You, Fei He, Qiwen Hu, & Ziding Zhang. (2011). A predicted protein–protein interaction network of the filamentous fungus Neurospora crassa. Molecular BioSystems. 7(7). 2278–2285. 14 indexed citations
18.
Wang, Ting-You, Christopher Ré, & Dan Suciu. (2008). Implementing NOT EXISTS Predicates over a Probabilistic Database.. 20(7). 73–86. 7 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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