Ying‐Ta Wu

1.7k total citations
43 papers, 1.4k citations indexed

About

Ying‐Ta Wu is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Ying‐Ta Wu has authored 43 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Molecular Biology, 12 papers in Organic Chemistry and 9 papers in Epidemiology. Recurrent topics in Ying‐Ta Wu's work include Carbohydrate Chemistry and Synthesis (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Chemical Synthesis and Analysis (6 papers). Ying‐Ta Wu is often cited by papers focused on Carbohydrate Chemistry and Synthesis (10 papers), Glycosylation and Glycoproteins Research (9 papers) and Chemical Synthesis and Analysis (6 papers). Ying‐Ta Wu collaborates with scholars based in Taiwan, United States and United Kingdom. Ying‐Ta Wu's co-authors include Chi‐Huey Wong, Shui-Tein Chen, Wei‐Chieh Cheng, Chun‐Ming Huang, Ting-Jen Rachel Cheng, Chih‐Jung Kuo, Pi‐Hui Liang, Ming‐Daw Tsai, Chung‐Yi Wu and Shyh‐Fong Chen and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of Biological Chemistry and SHILAP Revista de lepidopterología.

In The Last Decade

Ying‐Ta Wu

42 papers receiving 1.4k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Ying‐Ta Wu Taiwan 19 696 397 242 236 188 43 1.4k
Ingrid Choong United States 12 646 0.9× 318 0.8× 160 0.7× 357 1.5× 164 0.9× 20 1.5k
Charles A. Lesburg United States 17 1.1k 1.6× 192 0.5× 336 1.4× 352 1.5× 191 1.0× 34 1.9k
Neerja Kaushik‐Basu United States 23 592 0.9× 562 1.4× 287 1.2× 413 1.8× 111 0.6× 41 1.8k
Nicola G. Wallis United Kingdom 23 908 1.3× 317 0.8× 196 0.8× 198 0.8× 101 0.5× 45 1.8k
Jim Zhen Wu United States 31 780 1.1× 538 1.4× 518 2.1× 409 1.7× 101 0.5× 50 2.1k
Paul D. Kirchhoff United States 23 1.1k 1.6× 257 0.6× 209 0.9× 239 1.0× 66 0.4× 39 1.7k
Emilia Caselli Italy 25 1.1k 1.6× 528 1.3× 347 1.4× 268 1.1× 60 0.3× 52 2.2k
David T. Barkan United States 12 1.4k 2.1× 238 0.6× 152 0.6× 139 0.6× 210 1.1× 16 1.9k
Jean‐François Guichou France 23 967 1.4× 227 0.6× 124 0.5× 83 0.4× 218 1.2× 62 1.7k
Sujata Sharma India 26 1.2k 1.7× 177 0.4× 137 0.6× 174 0.7× 358 1.9× 100 2.1k

Countries citing papers authored by Ying‐Ta Wu

Since Specialization
Citations

This map shows the geographic impact of Ying‐Ta Wu'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 Ying‐Ta Wu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying‐Ta Wu more than expected).

Fields of papers citing papers by Ying‐Ta Wu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Ying‐Ta Wu. 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 Ying‐Ta Wu. The network helps show where Ying‐Ta Wu may publish in the future.

Co-authorship network of co-authors of Ying‐Ta Wu

This figure shows the co-authorship network connecting the top 25 collaborators of Ying‐Ta Wu. A scholar is included among the top collaborators of Ying‐Ta Wu 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 Ying‐Ta Wu. Ying‐Ta Wu 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.
Hu, Chun‐Mei, et al.. (2025). Innovative cyclic peptide disrupts IL-17RB–MLK4 interaction for targeted pancreatic cancer therapy. Biomedicine & Pharmacotherapy. 184. 117892–117892.
2.
Nicholson, Martin W., Ching‐Ying Huang, Yu‐Che Cheng, et al.. (2022). Cardio- and Neurotoxicity of Selected Anti-COVID-19 Drugs. Pharmaceuticals. 15(6). 765–765. 4 indexed citations
3.
Wu, Ying‐Ta, et al.. (2022). Designing a bis-azide photoaffinity probe in labeling influenza nucleoprotein trimer to give an insight into the binding mode. SHILAP Revista de lepidopterología. 6. 100091–100091. 1 indexed citations
4.
Liu, Mingfang, et al.. (2022). Photoaffinity labeling of benzophenone-containing salicylanilide compounds to give an insight into the mechanism in disrupting peptidoglycan formation. Bioorganic & Medicinal Chemistry. 67. 116819–116819. 3 indexed citations
5.
Jan, Jia-Tsrong, Ting-Jen Rachel Cheng, Yu-Pu Juang, et al.. (2021). Identification of existing pharmaceuticals and herbal medicines as inhibitors of SARS-CoV-2 infection. Proceedings of the National Academy of Sciences. 118(5). 130 indexed citations
6.
Cheng, Ting-Jen Rachel, et al.. (2018). Structure-based design of bacterial transglycosylase inhibitors incorporating biphenyl, amine linker and 2-alkoxy-3-phosphorylpropanoate moieties. European Journal of Medicinal Chemistry. 150. 729–741. 5 indexed citations
7.
Chen, Kuo‐Ting, Po‐Ting Chen, Lin‐Ya Huang, et al.. (2016). Structural Investigation of Park’s Nucleotide on Bacterial Translocase MraY: Discovery of Unexpected MraY Inhibitors. Scientific Reports. 6(1). 31579–31579. 12 indexed citations
8.
Wu, Ying‐Ta, Jingrong Huang, Jung‐Tung Hung, et al.. (2016). Phenyl Glycolipids with Different Glycosyl Groups Exhibit Marked Differences in Murine and Human iNKT Cell Activation. ACS Chemical Biology. 11(12). 3431–3441. 14 indexed citations
9.
Zhai, Yufeng, Kaisheng Chen, Zhong Yang, et al.. (2016). An Automatic Quality Control Pipeline for High-Throughput Screening Hit Identification. SLAS DISCOVERY. 21(8). 832–841. 5 indexed citations
10.
Bryk, Ruslana, Anand Balakrishnan, Ying‐Ta Wu, et al.. (2013). Lipoamide Channel-Binding Sulfonamides Selectively Inhibit Mycobacterial Lipoamide Dehydrogenase. Biochemistry. 52(51). 9375–9384. 17 indexed citations
11.
Cheng, Ting-Jen Rachel, Ying‐Ta Wu, Chih-Hung Yuan, et al.. (2010). High-throughput identification of antibacterials against methicillin-resistant Staphylococcus aureus (MRSA) and the transglycosylase. Bioorganic & Medicinal Chemistry. 18(24). 8512–8529. 57 indexed citations
12.
Wang, Shiyun, Ching‐Yao Su, Meng‐I Lin, et al.. (2009). HA-Pseudotyped Retroviral Vectors for Influenza Antagonist Screening. SLAS DISCOVERY. 14(3). 294–302. 12 indexed citations
13.
Tu, Shengjiang, Yu‐Ching Teng, Ying‐Ta Wu, et al.. (2008). The ARID domain of the H3K4 demethylase RBP2 binds to a DNA CCGCCC motif. Nature Structural & Molecular Biology. 15(4). 419–421. 96 indexed citations
14.
15.
Lee, Hurng-Chun, Jean Salzemann, Ivan Merelli, et al.. (2006). Grid-Enabled High-Throughput In Silico Screening Against Influenza A Neuraminidase. IEEE Transactions on NanoBioscience. 5(4). 288–295. 30 indexed citations
16.
Lin, Yi, et al.. (2005). Synthesis and evaluation of isatin derivatives as effective SARS coronavirus 3CL protease inhibitors. Bioorganic & Medicinal Chemistry Letters. 15(12). 3058–3062. 154 indexed citations
17.
Wu, Ying‐Ta, et al.. (2004). A New N-Acetylgalactosamine Containing Peptide as a Targeting Vehicle for Mammalian Hepatocytes Via Asialoglycoprotein Receptor Endocytosis. Current Drug Delivery. 1(2). 119–127. 15 indexed citations
18.
Sinchaikul, Supachok, et al.. (2001). Structural Modeling and Characterization of a Thermostable Lipase from Bacillus stearothermophilus P1. Biochemical and Biophysical Research Communications. 283(4). 868–875. 16 indexed citations
19.
Huang, Chun‐Ming, Ying‐Ta Wu, & Shui-Tein Chen. (2000). Targeting delivery of paclitaxel into tumor cells via somatostatin receptor endocytosis. Chemistry & Biology. 7(7). 453–461. 77 indexed citations
20.
Hsieh, Hsing‐Pang, Ying‐Ta Wu, Shui-Tein Chen, & Kung‐Tsung Wang. (1999). Direct solid-phase synthesis of octreotide conjugates. Bioorganic & Medicinal Chemistry. 7(9). 1797–1803. 27 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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