Miao Xu

3.3k total citations
38 papers, 1.4k citations indexed

About

Miao Xu is a scholar working on Infectious Diseases, Molecular Biology and Physiology. According to data from OpenAlex, Miao Xu has authored 38 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Infectious Diseases, 12 papers in Molecular Biology and 10 papers in Physiology. Recurrent topics in Miao Xu's work include SARS-CoV-2 and COVID-19 Research (10 papers), Lysosomal Storage Disorders Research (10 papers) and Computational Drug Discovery Methods (6 papers). Miao Xu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (10 papers), Lysosomal Storage Disorders Research (10 papers) and Computational Drug Discovery Methods (6 papers). Miao Xu collaborates with scholars based in United States, China and Canada. Miao Xu's co-authors include Wei Zheng, Catherine Z. Chen, Manisha Pradhan, Min Shen, Paul Shinn, Manju Swaroop, Guo‐li Ming, Hongjun Song, Samuel Zheng Hao Wong and Daniel Y. Zhang and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Nature Biotechnology.

In The Last Decade

Miao Xu

36 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
Miao Xu United States 16 571 503 208 189 165 38 1.4k
Kirill Gorshkov United States 20 1.1k 1.8× 329 0.7× 128 0.6× 136 0.7× 125 0.8× 43 1.7k
Catherine Z. Chen United States 28 1.1k 1.9× 875 1.7× 406 2.0× 60 0.3× 225 1.4× 62 2.6k
Ella H. Sklan Israel 28 994 1.7× 354 0.7× 197 0.9× 130 0.7× 429 2.6× 61 2.4k
Lei Tan China 15 494 0.9× 545 1.1× 146 0.7× 31 0.2× 121 0.7× 26 1.3k
Xuemei Li China 19 426 0.7× 449 0.9× 33 0.2× 116 0.6× 76 0.5× 79 1.3k
Liang Ye China 24 647 1.1× 230 0.5× 108 0.5× 479 2.5× 303 1.8× 77 2.4k
Zai Wang China 21 410 0.7× 387 0.8× 27 0.1× 62 0.3× 144 0.9× 56 1.3k
Milan Surjit India 23 509 0.9× 1.1k 2.1× 51 0.2× 102 0.5× 238 1.4× 43 2.1k
Anil K. Madugundu India 21 729 1.3× 193 0.4× 33 0.2× 100 0.5× 131 0.8× 58 1.3k
Susarla Krishna Shankar India 22 646 1.1× 326 0.6× 39 0.2× 381 2.0× 234 1.4× 52 1.8k

Countries citing papers authored by Miao Xu

Since Specialization
Citations

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

Fields of papers citing papers by Miao Xu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Miao Xu

This figure shows the co-authorship network connecting the top 25 collaborators of Miao Xu. A scholar is included among the top collaborators of Miao Xu 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 Miao Xu. Miao Xu 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.
2.
Zhang, Qi, Weichun Tang, Zulfeqhar A. Syed, et al.. (2023). Host heparan sulfate promotes ACE2 super-cluster assembly and enhances SARS-CoV-2-associated syncytium formation. Nature Communications. 14(1). 5777–5777. 10 indexed citations
3.
Tambe, Mitali A., et al.. (2023). In depth characterization of midbrain organoids derived from wild type iPSC lines. PLoS ONE. 18(10). e0292926–e0292926. 5 indexed citations
4.
Tambe, Mitali A., Ha Nam Nguyen, Miao Xu, et al.. (2023). Generation and characterization of NGLY1 patient-derived midbrain organoids. Frontiers in Cell and Developmental Biology. 11. 1039182–1039182. 12 indexed citations
5.
Zhang, Qi, Peter Radvák, Juhyung Lee, et al.. (2022). Mitoxantrone modulates a heparan sulfate-spike complex to inhibit SARS-CoV-2 infection. Scientific Reports. 12(1). 6294–6294. 11 indexed citations
6.
Shrimp, Jonathan H., John Janiszewski, Catherine Z. Chen, et al.. (2022). Suite of TMPRSS2 Assays for Screening Drug Repurposing Candidates as Potential Treatments of COVID-19. ACS Infectious Diseases. 8(6). 1191–1203. 6 indexed citations
7.
Hu, Zongyi, Xin Hu, Qiru Zeng, et al.. (2022). Targeting the Fusion Process of SARS-CoV-2 Infection by Small Molecule Inhibitors. mBio. 13(1). e0323821–e0323821. 10 indexed citations
8.
Jain, Sankalp, Bolormaa Baljinnyam, Quinlin Hanson, et al.. (2021). Hybrid In Silico Approach Reveals Novel Inhibitors of Multiple SARS-CoV-2 Variants. ACS Pharmacology & Translational Science. 4(5). 1675–1688. 10 indexed citations
9.
Huang, Ruili, Miao Xu, Hu Zhu, et al.. (2021). Biological activity-based modeling identifies antiviral leads against SARS-CoV-2. Nature Biotechnology. 39(6). 747–753. 34 indexed citations
10.
11.
Zhu, Wei, Miao Xu, Catherine Z. Chen, et al.. (2020). Identification of SARS-CoV-2 3CL Protease Inhibitors by a Quantitative High-Throughput Screening. ACS Pharmacology & Translational Science. 3(5). 1008–1016. 152 indexed citations
12.
Yang, Shu, Kirill Gorshkov, Emily M. Lee, et al.. (2020). Zika Virus-Induced Neuronal Apoptosis via Increased Mitochondrial Fragmentation. Frontiers in Microbiology. 11. 598203–598203. 45 indexed citations
13.
Jacob, Fadi, Sarshan R. Pather, Wei‐Kai Huang, et al.. (2020). Human Pluripotent Stem Cell-Derived Neural Cells and Brain Organoids Reveal SARS-CoV-2 Neurotropism Predominates in Choroid Plexus Epithelium. Cell stem cell. 27(6). 937–950.e9. 317 indexed citations
14.
Lee, Emily M., Steven A. Titus, Miao Xu, Hengli Tang, & Wei Zheng. (2019). High-Throughput Zika Viral Titer Assay for Rapid Screening of Antiviral Drugs. Assay and Drug Development Technologies. 17(3). 128–139. 10 indexed citations
15.
Li, Rong, Manisha Pradhan, Miao Xu, et al.. (2018). Generation of an induced pluripotent stem cell line (TRNDi002-B) from a patient carrying compound heterozygous p.Q208X and p.G310G mutations in the NGLY1 gene. Stem Cell Research. 34. 101362–101362. 6 indexed citations
16.
Li, Rong, Hideji Fujiwara, Miao Xu, et al.. (2017). Analytical Characterization of Methyl-β-Cyclodextrin for Pharmacological Activity to Reduce Lysosomal Cholesterol Accumulation in Niemann-Pick Disease Type C1 Cells. Assay and Drug Development Technologies. 15(4). 154–166. 17 indexed citations
17.
Sun, Wei, Shihua He, Carles Martínez‐Romero, et al.. (2016). Synergistic drug combination effectively blocks Ebola virus infection. Antiviral Research. 137. 165–172. 68 indexed citations
18.
Xu, Miao, Omid Motabar, Marc Ferrer, et al.. (2016). Disease models for the development of therapies for lysosomal storage diseases. Annals of the New York Academy of Sciences. 1371(1). 15–29. 30 indexed citations
19.
Xu, Miao, Ke Liu, Manju Swaroop, et al.. (2013). A Phenotypic Compound Screening Assay for Lysosomal Storage Diseases. SLAS DISCOVERY. 19(1). 168–175. 45 indexed citations
20.
Xu, Miao, Ke Liu, Noel Southall, et al.. (2012). A high-throughput sphingomyelinase assay using natural substrate. Analytical and Bioanalytical Chemistry. 404(2). 407–414. 6 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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