Yeng‐Tseng Wang

1.1k total citations
67 papers, 847 citations indexed

About

Yeng‐Tseng Wang is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, Yeng‐Tseng Wang has authored 67 papers receiving a total of 847 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Molecular Biology, 17 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Epidemiology. Recurrent topics in Yeng‐Tseng Wang's work include Monoclonal and Polyclonal Antibodies Research (16 papers), Protein Structure and Dynamics (8 papers) and Protein purification and stability (8 papers). Yeng‐Tseng Wang is often cited by papers focused on Monoclonal and Polyclonal Antibodies Research (16 papers), Protein Structure and Dynamics (8 papers) and Protein purification and stability (8 papers). Yeng‐Tseng Wang collaborates with scholars based in Taiwan, United States and United Kingdom. Yeng‐Tseng Wang's co-authors include Yang‐Hsiang Chan, Zhiyuan Su, Tian‐Lu Cheng, Chia‐Cheng Chou, Yu‐Ching Chen, Chih-Hung Chuang, Wen-Wei Lin, Shih-Yu Kuo, Cheng‐Lung Chen and Yuan-Chin Hsieh and has published in prestigious journals such as PLoS ONE, Journal of Applied Physics and Analytical Chemistry.

In The Last Decade

Yeng‐Tseng Wang

65 papers receiving 835 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Yeng‐Tseng Wang Taiwan 16 413 152 129 83 77 67 847
Patrícia Pacheco Brazil 18 597 1.4× 74 0.5× 22 0.2× 107 1.3× 29 0.4× 29 1.4k
Nadine Schneider Germany 21 741 1.8× 210 1.4× 487 3.8× 20 0.2× 92 1.2× 41 1.8k
Emily Chen United States 15 459 1.1× 84 0.6× 33 0.3× 49 0.6× 44 0.6× 33 967
In‐Kyung Kim South Korea 18 435 1.1× 53 0.3× 73 0.6× 69 0.8× 8 0.1× 59 860
Jiajing Liu China 18 566 1.4× 263 1.7× 184 1.4× 25 0.3× 30 0.4× 66 1.1k
Rishi K. Jain United States 22 790 1.9× 195 1.3× 142 1.1× 41 0.5× 61 0.8× 47 1.2k
Megan Garland United States 15 408 1.0× 178 1.2× 108 0.8× 48 0.6× 48 0.6× 21 899
Miriam Dwek United Kingdom 21 849 2.1× 176 1.2× 110 0.9× 83 1.0× 179 2.3× 55 1.3k
Wei Mi China 15 890 2.2× 87 0.6× 62 0.5× 306 3.7× 42 0.5× 54 1.3k
Sayed‐Amir Marashi Iran 17 747 1.8× 144 0.9× 38 0.3× 35 0.4× 24 0.3× 80 950

Countries citing papers authored by Yeng‐Tseng Wang

Since Specialization
Citations

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

Fields of papers citing papers by Yeng‐Tseng Wang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yeng‐Tseng 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 Yeng‐Tseng Wang. The network helps show where Yeng‐Tseng Wang may publish in the future.

Co-authorship network of co-authors of Yeng‐Tseng Wang

This figure shows the co-authorship network connecting the top 25 collaborators of Yeng‐Tseng Wang. A scholar is included among the top collaborators of Yeng‐Tseng 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 Yeng‐Tseng Wang. Yeng‐Tseng Wang 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.
Wang, Yeng‐Tseng & Tun‐Chieh Chen. (2025). Caffeine as a stabilizer in Novel Hydroxypropyl-β-cyclodextrin/Axitinib Drug-Delivery Systems: A computational study. Computational and Theoretical Chemistry. 1245. 115091–115091.
2.
Wang, Yeng‐Tseng, et al.. (2024). RNF43 Inactivation Enhances the B‐RAF/MEK Signaling and Creates a Combinatory Therapeutic Target in Cancer Cells. Advanced Science. 11(12). e2304820–e2304820. 4 indexed citations
3.
4.
Cheng, Tian‐Lu, et al.. (2024). Exploring the therapeutic potential of DV-B-120 as an inhibitor of dengue virus infection. Journal of Virology. 98(4). e0125823–e0125823. 3 indexed citations
5.
Lin, Wen‐Wei, Yeng‐Tseng Wang, Chien‐Shu Chen, et al.. (2023). Development of NS2B-NS3 protease inhibitor that impairs Zika virus replication. Virus Research. 329. 199092–199092. 5 indexed citations
6.
Wang, Yeng‐Tseng, et al.. (2022). Structural insights into Nirmatrelvir (PF-07321332)-3C-like SARS-CoV-2 protease complexation: a ligand Gaussian accelerated molecular dynamics study. Physical Chemistry Chemical Physics. 24(37). 22898–22904. 9 indexed citations
7.
Hsieh, Yuan-Chin, Kuo‐Hsiang Chuang, I‐Ju Chen, et al.. (2022). A universal in silico V(D)J recombination strategy for developing humanized monoclonal antibodies. Journal of Nanobiotechnology. 20(1). 58–58. 2 indexed citations
8.
Lin, Wen-Wei, Shey-Cherng Tzou, I‐Ju Chen, et al.. (2021). Fibrinogen-Like Protein 1 Serves as an Anti-Inflammatory Agent for Collagen-Induced Arthritis Therapy in Mice. Frontiers in Immunology. 12. 767868–767868. 14 indexed citations
9.
10.
Wang, Yeng‐Tseng, et al.. (2017). A fragment-based docking simulation for investigating peptide–protein bindings. Physical Chemistry Chemical Physics. 19(16). 10436–10442. 7 indexed citations
11.
Lan, Cheng‐Che E., et al.. (2017). The effect of interaction of heat and UVB on human keratinocyte: Novel insights on UVB-induced carcinogenesis of the skin. Journal of Dermatological Science. 88(2). 207–215. 5 indexed citations
12.
Wang, Yeng‐Tseng & Yang‐Hsiang Chan. (2017). Understanding the molecular basis of agonist/antagonist mechanism of human mu opioid receptor through gaussian accelerated molecular dynamics method. Scientific Reports. 7(1). 7828–7828. 26 indexed citations
13.
Su, Yu‐Lin, Ya-Hui Chang, Shiou‐Ru Tzeng, et al.. (2016). Importance of the C-terminal histidine residues of Helicobacter pylori GroES for Toll-like receptor 4 binding and interleukin-8 cytokine production. Scientific Reports. 6(1). 37367–37367. 5 indexed citations
14.
Ho, Wan‐Ting, et al.. (2016). Histone methyltransferase Suv39h1 attenuates high glucose-induced fibronectin and p21WAF1 in mesangial cells. The International Journal of Biochemistry & Cell Biology. 78. 96–105. 18 indexed citations
15.
Chuang, Kuo‐Hsiang, Yuan-Chin Hsieh, Chih-Hung Chuang, et al.. (2014). High-Throughput Sorting of the Highest Producing Cell via a Transiently Protein-Anchored System. PLoS ONE. 9(7). e102569–e102569. 8 indexed citations
16.
Wang, Yeng‐Tseng & Yu‐Ching Chen. (2014). Insights from QM/MM Modeling the 3D Structure of the 2009 H1N1 Influenza A Virus Neuraminidase and Its Binding Interactions with Antiviral Drugs. Molecular Informatics. 33(3). 240–249. 7 indexed citations
17.
Wang, Yeng‐Tseng & Lea‐Yea Chuang. (2014). Insight into the modified Ibalizumab–human CD4 receptor interactions: using a computational binding free energy approach. Journal of Computer-Aided Molecular Design. 29(1). 69–78. 1 indexed citations
18.
Wang, Yeng‐Tseng & Wen‐Jay Lee. (2012). Binding hot-spots in an antibody–ssDNA interface: a molecular dynamics study. Molecular BioSystems. 8(12). 3274–3280. 1 indexed citations
19.
Wang, Yeng‐Tseng, et al.. (2011). Computer simulation to investigate the FRET application in DNA hybridization systems. Physical Chemistry Chemical Physics. 13(21). 10364–10364. 4 indexed citations
20.
Wang, Yeng‐Tseng, Zhiyuan Su, & Cheng‐Lung Chen. (2009). Potential of mean force of the hepatitis C virus core protein–monoclonal 19D9D6 antibody interaction. Biophysical Chemistry. 145(2-3). 86–90. 5 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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