Catherine Z. Chen

4.0k total citations
62 papers, 2.6k citations indexed

About

Catherine Z. Chen is a scholar working on Infectious Diseases, Molecular Biology and Computational Theory and Mathematics. According to data from OpenAlex, Catherine Z. Chen has authored 62 papers receiving a total of 2.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Infectious Diseases, 21 papers in Molecular Biology and 11 papers in Computational Theory and Mathematics. Recurrent topics in Catherine Z. Chen's work include SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (12 papers) and Computational Drug Discovery Methods (11 papers). Catherine Z. Chen is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (20 papers), COVID-19 Clinical Research Studies (12 papers) and Computational Drug Discovery Methods (11 papers). Catherine Z. Chen collaborates with scholars based in United States, Canada and Poland. Catherine Z. Chen's co-authors include Wei Zheng, Ruth Collins, Paul Shinn, Peter B. Rahl, Kirill Gorshkov, Miao Xu, Noel Southall, Wei Zhu, Hui Guo and Juan Marugán and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nucleic Acids Research and Journal of Biological Chemistry.

In The Last Decade

Catherine Z. Chen

61 papers receiving 2.5k citations

Peers

Catherine Z. Chen

CTM

CMN

Ella H. Sklan Israel

Jing Pu China

Yan Wu China

Andrew J. Rennekamp United States

Alison M. Lawrie United Kingdom

Radoslaw M. Sobota Singapore

Dick H. W. Dekkers Netherlands

Mario R. Ehlers United States

Ganesh S. Anand Singapore

Yuan Huang China

Ella H. Sklan Israel

Catherine Z. Chen

994 ×0.9

354 ×0.4

197 ×0.5

CTM

246 ×0.8

148 ×0.6

CMN

Citations per year, relative to Catherine Z. Chen Catherine Z. Chen (= 1×) peers Ella H. Sklan

Countries citing papers authored by Catherine Z. Chen

Since Specialization

Citations

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

Fields of papers citing papers by Catherine Z. Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Catherine Z. Chen. 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 Catherine Z. Chen. The network helps show where Catherine Z. Chen may publish in the future.

Co-authorship network of co-authors of Catherine Z. Chen

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

All Works

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20 of 20 papers shown

Shyr, Zeenat A., Kathleen McDaniel, Yuhong Fang, et al.. (2025). Reversal gene expression assessment for drug repurposing, a case study of glioblastoma. Journal of Translational Medicine. 23(1). 25–25. 1 indexed citations

Xiang, Jinhua, Louis N. Katz, Patricia Winokur, et al.. (2024). Establishment of human post-vaccination SARS-CoV-2 standard reference sera. Journal of Immunological Methods. 530. 113698–113698.

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

Cheng, Yu‐Shan, Miao Xu, Guibin Chen, et al.. (2023). A Protocol for Culture and Characterization of Human Induced Pluripotent Stem Cells After Induction. Current Protocols. 3(8). e866–e866. 7 indexed citations

Hong, Jessica, Hyung Joon Kwon, Raúl E. Cachau, et al.. (2022). Dromedary camel nanobodies broadly neutralize SARS-CoV-2 variants. Proceedings of the National Academy of Sciences. 119(18). 27 indexed citations

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

Picache, Jaqueline A., et al.. (2022). Therapeutic Strategies For Tay-Sachs Disease. Frontiers in Pharmacology. 13. 906647–906647. 20 indexed citations

Wang, Amy Q., Elias Carvalho Padilha, Mengbi Yang, et al.. (2022). Preclinical Pharmacokinetics and In Vitro Properties of GS-441524, a Potential Oral Drug Candidate for COVID-19 Treatment. Frontiers in Pharmacology. 13. 918083–918083. 16 indexed citations

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

10.

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

11.

Hu, Xin, Jonathan H. Shrimp, Hui Guo, et al.. (2021). Discovery of TMPRSS2 Inhibitors from Virtual Screening as a Potential Treatment of COVID-19. ACS Pharmacology & Translational Science. 4(3). 1124–1135. 44 indexed citations

12.

Hu, Xin, Catherine Z. Chen, Miao Xu, et al.. (2021). Discovery of Small Molecule Entry Inhibitors Targeting the Fusion Peptide of SARS-CoV-2 Spike Protein. ACS Medicinal Chemistry Letters. 12(8). 1267–1274. 16 indexed citations

13.

Yeh, Charles D., Jeanette Beers, Chengyu Liu, et al.. (2021). Generation of an induced pluripotent stem cell line (TRNDi030-A) from a patient with Farber disease carrying a homozygous p. Y36C (c. 107 A>G) mutation in ASAH1. Stem Cell Research. 53. 102387–102387. 2 indexed citations

14.

Sun, Hongmao, Yuhong Wang, Catherine Z. Chen, et al.. (2021). Identification of SARS-CoV-2 viral entry inhibitors using machine learning and cell-based pseudotyped particle assay. Bioorganic & Medicinal Chemistry. 38. 116119–116119. 7 indexed citations

15.

Chen, Catherine Z., Paul Shinn, Zina Itkin, et al.. (2021). Drug Repurposing Screen for Compounds Inhibiting the Cytopathic Effect of SARS-CoV-2. Frontiers in Pharmacology. 11. 592737–592737. 61 indexed citations

16.

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

17.

Shyr, Zeenat A., Kirill Gorshkov, Catherine Z. Chen, & Wei Zheng. (2020). Drug Discovery Strategies for SARS-CoV-2. Journal of Pharmacology and Experimental Therapeutics. 375(1). 127–138. 72 indexed citations

18.

Gorshkov, Kirill, Catherine Z. Chen, Nino Mihatov, et al.. (2018). Advancing precision medicine with personalized drug screening. Drug Discovery Today. 24(1). 272–278. 31 indexed citations

19.

Bhattacharyya, Nisan, Xin Hu, Catherine Z. Chen, et al.. (2014). A High Throughput Screening Assay System for the Identification of Small Molecule Inhibitors of gsp. PLoS ONE. 9(3). e90766–e90766. 12 indexed citations

20.

Heidtman, Matthew, Catherine Z. Chen, Ruth Collins, & Charles Barlowe. (2005). Yos1p Is a Novel Subunit of the Yip1p–Yif1p Complex and Is Required for Transport between the Endoplasmic Reticulum and the Golgi Complex. Molecular Biology of the Cell. 16(4). 1673–1683. 44 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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