Emily M. Lee

3.7k total citations · 1 hit paper
21 papers, 1.4k citations indexed

About

Emily M. Lee is a scholar working on Public Health, Environmental and Occupational Health, Infectious Diseases and Molecular Biology. According to data from OpenAlex, Emily M. Lee has authored 21 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 11 papers in Public Health, Environmental and Occupational Health, 10 papers in Infectious Diseases and 5 papers in Molecular Biology. Recurrent topics in Emily M. Lee's work include Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (7 papers) and 3D Printing in Biomedical Research (3 papers). Emily M. Lee is often cited by papers focused on Mosquito-borne diseases and control (10 papers), Viral Infections and Vectors (7 papers) and 3D Printing in Biomedical Research (3 papers). Emily M. Lee collaborates with scholars based in United States, Canada and China. Emily M. Lee's co-authors include Hengli Tang, Guo‐li Ming, Christy Hammack, Xuyu Qian, Hongjun Song, Bing Yao, Kimberly M. Christian, Yujing Li, Zhexing Wen and Ruth Didier and has published in prestigious journals such as Nature Biotechnology, Advanced Functional Materials and Journal of Virology.

In The Last Decade

Emily M. Lee

18 papers receiving 1.4k citations

Hit Papers

Zika Virus Infects Human Cortical Neural Progenitors and ... 2016 2026 2019 2022 2016 250 500 750
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth
    2016 914 citations Hengli Tang, Christy Hammack et al. Cell stem cell profile →

Peers

Emily M. Lee
Luiza M. Higa Brazil
Feiran Zhang China
Rodrigo Delvecchio Brazil
Jason Dang United States
Victoria K. Baxter United States
Shin-Ae Lee South Korea
Yujiao Yang China
Kristeene A. Knopp United States
Edmund Ong United Kingdom
Minjun Ji China
Luiza M. Higa Brazil
Emily M. Lee
Citations per year, relative to Emily M. Lee Emily M. Lee (= 1×) peers Luiza M. Higa

Countries citing papers authored by Emily M. Lee

Since Specialization
Citations

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

Fields of papers citing papers by Emily M. Lee

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Emily M. Lee. 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 Emily M. Lee. The network helps show where Emily M. Lee may publish in the future.

Co-authorship network of co-authors of Emily M. Lee

This figure shows the co-authorship network connecting the top 25 collaborators of Emily M. Lee. A scholar is included among the top collaborators of Emily M. Lee 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 Emily M. Lee. Emily M. Lee 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
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Zhang, Jiajing, et al.. (2025). Generation of Functional Brain Region-Specific Neural Spheroids for High Throughput Screening. Methods in molecular biology. 2 indexed citations
4.
Lee, Emily M., et al.. (2024). To Open or Not to Open: Developing a COVID-19 Model Specific to Small Residential Campuses. Scholarship @ Claremont (The Claremont Colleges). 17(1). 1–36.
5.
Strong, Caroline E., Jiajing Zhang, Martin A. Carrasco, et al.. (2023). Functional brain region-specific neural spheroids for modeling neurological diseases and therapeutics screening. Communications Biology. 6(1). 1211–1211. 21 indexed citations
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Boutin, Molly E., Caroline E. Strong, Xin Hu, et al.. (2022). A multiparametric calcium signal screening platform using iPSC-derived cortical neural spheroids.. SLAS DISCOVERY. 27(4). 209–218. 11 indexed citations
8.
Li, Minghua, Max Ferretti, Baoling Ying, et al.. (2021). Pharmacological activation of STING blocks SARS-CoV-2 infection. Science Immunology. 6(59). 143 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.
Xu, Bin, Emily M. Lee, Angélica Medina, et al.. (2020). Inhibition of zika virus infection by fused tricyclic derivatives of 1,2,4,5-tetrahydroimidazo[1,5-a]quinolin-3(3aH)-one. Bioorganic Chemistry. 104. 104205–104205. 11 indexed citations
11.
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
12.
Gorshkov, Kirill, Manisha Pradhan, Miao Xu, et al.. (2020). Cell-Based No-Wash Fluorescence Assays for Compound Screens Using a Fluorescence Cytometry Plate Reader. Journal of Pharmacology and Experimental Therapeutics. 374(3). 500–511. 2 indexed citations
13.
Li, Feng, Emily M. Lee, Xia Sun, et al.. (2019). Design, synthesis and discovery of andrographolide derivatives against Zika virus infection. European Journal of Medicinal Chemistry. 187. 111925–111925. 32 indexed citations
14.
Andrea, Kori A., et al.. (2019). Iron Complexes for Cyclic Carbonate and Polycarbonate Formation: Selectivity Control from Ligand Design and Metal-Center Geometry. Inorganic Chemistry. 58(16). 11231–11240. 48 indexed citations
15.
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
16.
Gorshkov, Kirill, Ni Sima, Wei Sun, et al.. (2018). Quantitative Chemotherapeutic Profiling of Gynecologic Cancer Cell Lines Using Approved Drugs and Bioactive Compounds. Translational Oncology. 12(3). 441–452. 16 indexed citations
17.
Song, Guang, Hee-Sool Rho, Jianbo Pan, et al.. (2017). Multiplexed Biomarker Panels Discriminate Zika and Dengue Virus Infection in Humans. Molecular & Cellular Proteomics. 17(2). 349–356. 15 indexed citations
18.
Tang, Hengli, Christy Hammack, Sarah C. Ogden, et al.. (2016). Zika Virus Infects Human Cortical Neural Progenitors and Attenuates Their Growth. Cell stem cell. 18(5). 587–590. 914 indexed citations breakdown →
19.
Lee, Emily M., Xianfang Wu, Christy Hammack, et al.. (2016). Hepatitis C Virus-Induced Degradation of Cell Death-Inducing DFFA-Like Effector B Leads to Hepatic Lipid Dysregulation. Journal of Virology. 90(8). 4174–4185. 5 indexed citations
20.
Wu, Xianfang, Emily M. Lee, Christy Hammack, et al.. (2014). Cell Death-Inducing DFFA-Like Effector b Is Required for Hepatitis C Virus Entry into Hepatocytes. Journal of Virology. 88(15). 8433–8444. 31 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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