Weixuan Yu

615 total citations
17 papers, 386 citations indexed

About

Weixuan Yu is a scholar working on Molecular Biology, Organic Chemistry and Epidemiology. According to data from OpenAlex, Weixuan Yu has authored 17 papers receiving a total of 386 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 5 papers in Organic Chemistry and 5 papers in Epidemiology. Recurrent topics in Weixuan Yu's work include Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (3 papers) and Antimicrobial agents and applications (3 papers). Weixuan Yu is often cited by papers focused on Computational Drug Discovery Methods (4 papers), Click Chemistry and Applications (3 papers) and Antimicrobial agents and applications (3 papers). Weixuan Yu collaborates with scholars based in United States, China and Germany. Weixuan Yu's co-authors include Peter J. Tonge, Gopal R. Bommineni, Caroline Kisker, Andrew Chang, Christoph Sotriffer, Miguel Garcı́a-Dı́az, J. Schiebel, Carlos Simmerling, Cheng‐Tsung Lai and Chuanzhao Zhang and has published in prestigious journals such as Journal of the American Chemical Society, Journal of Biological Chemistry and Biochemistry.

In The Last Decade

Weixuan Yu

16 papers receiving 378 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Weixuan Yu United States 10 214 112 105 103 53 17 386
Catherine Piveteau France 12 220 1.0× 94 0.8× 136 1.3× 44 0.4× 37 0.7× 25 496
Yanlin Jian China 12 253 1.2× 110 1.0× 95 0.9× 79 0.8× 13 0.2× 25 443
Krupa Naran South Africa 12 158 0.7× 161 1.4× 117 1.1× 30 0.3× 27 0.5× 24 470
Bolin Geng United States 11 217 1.0× 254 2.3× 53 0.5× 29 0.3× 101 1.9× 12 457
Shuaishuai Ni China 12 194 0.9× 79 0.7× 28 0.3× 38 0.4× 13 0.2× 22 336
Matteo Santucci Italy 14 241 1.1× 83 0.7× 65 0.6× 28 0.3× 78 1.5× 26 540
Sachin Surade United Kingdom 14 485 2.3× 87 0.8× 185 1.8× 126 1.2× 22 0.4× 18 672
Sean Trapp United States 5 149 0.7× 207 1.8× 75 0.7× 15 0.1× 38 0.7× 5 403
Dale F. Kreitler United States 14 395 1.8× 137 1.2× 47 0.4× 30 0.3× 11 0.2× 29 520
Matthieu Desroses Sweden 15 423 2.0× 222 2.0× 185 1.8× 46 0.4× 31 0.6× 24 692

Countries citing papers authored by Weixuan Yu

Since Specialization
Citations

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

Fields of papers citing papers by Weixuan Yu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Weixuan Yu. 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 Weixuan Yu. The network helps show where Weixuan Yu may publish in the future.

Co-authorship network of co-authors of Weixuan Yu

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

All Works

17 of 17 papers shown
1.
Zhang, Yunda, et al.. (2025). Dietary factors and the risk of gastric and colorectal cancers: A Mendelian randomization study. Medicine. 104(7). e41610–e41610.
2.
Yu, Weixuan, et al.. (2024). Identification of 10 differentially expressed and cuproptosis-related genes inimmune infiltration and prognosis of thyroid carcinoma. Cellular and Molecular Biology. 70(3). 89–94. 3 indexed citations
3.
Zhuang, Hongkai, Zixuan Zhou, Zuyi Ma, et al.. (2020). Prognostic Stratification Based on a Novel Nomogram for Solitary Large Hepatocellular Carcinoma After Curative Resection. Frontiers in Oncology. 10. 556489–556489. 6 indexed citations
4.
Yu, Weixuan, Wen Deng, Qiang Zhao, et al.. (2019). miR-501 acts as an independent prognostic factor that promotes the epithelial–mesenchymal transition through targeting JDP2 in hepatocellular carcinoma. Human Cell. 32(3). 343–351. 12 indexed citations
5.
Yu, Weixuan, Dongwei Li, Yunda Zhang, et al.. (2019). MiR-142-5p Acts as a Significant Regulator Through Promoting Proliferation, Invasion, and Migration in Breast Cancer Modulated by Targeting SORBS1. Technology in Cancer Research & Treatment. 18. 1078159912–1078159912. 31 indexed citations
6.
Yu, Weixuan, Ming Liu, Hong Li, et al.. (2019). An integrated bioinformatics analysis of potential therapeutic targets among matrix metalloproteinases in breast cancer. Oncology Letters. 18(3). 2985–2994. 2 indexed citations
7.
Cummings, Jason E., Fereidoon Daryaee, Gopal R. Bommineni, et al.. (2017). Rationalizing the Binding Kinetics for the Inhibition of the Burkholderia pseudomallei FabI1 Enoyl-ACP Reductase. Biochemistry. 56(13). 1865–1878. 5 indexed citations
8.
Yu, Weixuan, Fereidoon Daryaee, Susan E. Knudson, et al.. (2017). Evaluating the Contribution of Transition-State Destabilization to Changes in the Residence Time of Triazole-Based InhA Inhibitors. Journal of the American Chemical Society. 139(9). 3417–3429. 46 indexed citations
9.
Yu, Weixuan, Andrew Chang, Gopal R. Bommineni, et al.. (2015). A [32P]NAD+-based method to identify and quantitate long residence time enoyl-acyl carrier protein reductase inhibitors. Analytical Biochemistry. 474. 40–49. 7 indexed citations
10.
Lai, Cheng‐Tsung, Weixuan Yu, Gopal R. Bommineni, et al.. (2015). Rational Modulation of the Induced-Fit Conformational Change for Slow-Onset Inhibition in Mycobacterium tuberculosis InhA. Biochemistry. 54(30). 4683–4691. 33 indexed citations
11.
Perryman, Alexander L., Weixuan Yu, Xin Wang, et al.. (2015). A Virtual Screen Discovers Novel, Fragment-Sized Inhibitors ofMycobacterium tuberculosisInhA. Journal of Chemical Information and Modeling. 55(3). 645–659. 29 indexed citations
12.
Schiebel, J., Andrew Chang, Benjamin Merget, et al.. (2015). An Ordered Water Channel in Staphylococcus aureus FabI: Unraveling the Mechanism of Substrate Recognition and Reduction. Biochemistry. 54(10). 1943–1955. 27 indexed citations
13.
Schiebel, J., Andrew Chang, Li Liu, et al.. (2014). Rational Design of Broad Spectrum Antibacterial Activity Based on a Clinically Relevant Enoyl-Acyl Carrier Protein (ACP) Reductase Inhibitor. Journal of Biological Chemistry. 289(23). 15987–16005. 53 indexed citations
14.
Lai, Cheng‐Tsung, Pan Pan, Weixuan Yu, et al.. (2014). A Structural and Energetic Model for the Slow-Onset Inhibition of the Mycobacterium tuberculosis Enoyl-ACP Reductase InhA. ACS Chemical Biology. 9(4). 986–993. 60 indexed citations
15.
Chang, Andrew, J. Schiebel, Weixuan Yu, et al.. (2013). Rational Optimization of Drug-Target Residence Time: Insights from Inhibitor Binding to the Staphylococcus aureus FabI Enzyme–Product Complex. Biochemistry. 52(24). 4217–4228. 51 indexed citations
16.
Cummings, Jason E., Susan E. Knudson, Weixuan Yu, et al.. (2013). Substituted Diphenyl Ethers as a Novel Chemotherapeutic Platform against Burkholderia pseudomallei. Antimicrobial Agents and Chemotherapy. 58(3). 1646–1651. 13 indexed citations
17.
Bermúdez, Hernán, et al.. (2010). Correlation Between Histophatological, Bacteriological and PCR Diagnosis of Bovine Tuberculosis. Journal of Animal and Veterinary Advances. 9(15). 2082–2084. 8 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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