Jimmy Lu

434 total citations
8 papers, 204 citations indexed

About

Jimmy Lu is a scholar working on Infectious Diseases, Molecular Biology and Oncology. According to data from OpenAlex, Jimmy Lu has authored 8 papers receiving a total of 204 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Infectious Diseases, 2 papers in Molecular Biology and 2 papers in Oncology. Recurrent topics in Jimmy Lu's work include SARS-CoV-2 and COVID-19 Research (5 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jimmy Lu is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Computational Drug Discovery Methods (2 papers) and COVID-19 Clinical Research Studies (2 papers). Jimmy Lu collaborates with scholars based in Canada, United States and Poland. Jimmy Lu's co-authors include Muhammad Bashir Khan, Howard S. Young, John C. Vederas, M. Joanne Lemieux, Tess Lamer, Elena Arutyunova, Wayne Vuong, Conrad Fischer, D. Lorne Tyrrell and James A. Nieman and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Molecular Biology and Scientific Reports.

In The Last Decade

Jimmy Lu

8 papers receiving 200 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jimmy Lu Canada 6 141 125 63 45 17 8 204
Lian Jacobs United States 4 148 1.0× 72 0.6× 69 1.1× 32 0.7× 16 0.9× 6 217
Yuxian Xiong China 5 170 1.2× 112 0.9× 112 1.8× 22 0.5× 18 1.1× 6 284
Ryan T. Morgan United States 4 155 1.1× 70 0.6× 67 1.1× 20 0.4× 11 0.6× 4 205
Francesco Costacurta Austria 5 153 1.1× 81 0.6× 62 1.0× 17 0.4× 11 0.6× 8 198
Xiaolin Xie China 7 160 1.1× 110 0.9× 91 1.4× 57 1.3× 25 1.5× 11 312
Dan Cao China 6 179 1.3× 112 0.9× 124 2.0× 22 0.5× 18 1.1× 12 323
Maria I. Luck United States 3 230 1.6× 101 0.8× 89 1.4× 20 0.4× 14 0.8× 4 300
Karen Anbro Gammeltoft Denmark 6 186 1.3× 97 0.8× 69 1.1× 27 0.6× 10 0.6× 9 281
Mackenzie E. Chapman United States 3 141 1.0× 131 1.0× 75 1.2× 55 1.2× 25 1.5× 4 264
Emmanuel Heilmann Austria 8 168 1.2× 84 0.7× 77 1.2× 18 0.4× 13 0.8× 11 237

Countries citing papers authored by Jimmy Lu

Since Specialization
Citations

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

Fields of papers citing papers by Jimmy Lu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jimmy Lu

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

All Works

8 of 8 papers shown
1.
Lu, Jimmy, Justin Lu, Stephen Wang, et al.. (2025). Long term outcomes of patients with chronic kidney disease after COVID-19 in an urban population in the Bronx. Scientific Reports. 15(1). 6119–6119. 8 indexed citations
2.
Lu, Jimmy, et al.. (2024). New-onset cardiovascular diseases post SARS-CoV-2 infection in an urban population in the Bronx. Scientific Reports. 14(1). 31451–31451. 2 indexed citations
3.
Arutyunova, Elena, Jimmy Lu, Muhammad Bashir Khan, et al.. (2023). SARS-CoV-2 Mpro Protease Variants of Concern Display Altered Viral Substrate and Cell Host Target Galectin-8 Processing but Retain Sensitivity toward Antivirals. ACS Central Science. 9(4). 696–708. 31 indexed citations
4.
Arutyunova, Elena, Pu Chen, Muhammad Bashir Khan, et al.. (2023). The Effect of Deuteration and Homologation of the Lactam Ring of Nirmatrelvir on Its Biochemical Properties and Oxidative Metabolism. SHILAP Revista de lepidopterología. 3(6). 528–541. 3 indexed citations
5.
Lu, Jimmy, Muhammad Bashir Khan, Elena Arutyunova, et al.. (2022). Crystallization of Feline Coronavirus Mpro With GC376 Reveals Mechanism of Inhibition. Frontiers in Chemistry. 10. 852210–852210. 25 indexed citations
6.
Arutyunova, Elena, Muhammad Bashir Khan, Conrad Fischer, et al.. (2021). N-Terminal Finger Stabilizes the S1 Pocket for the Reversible Feline Drug GC376 in the SARS-CoV-2 Mpro Dimer. Journal of Molecular Biology. 433(13). 167003–167003. 33 indexed citations
7.
Vuong, Wayne, Conrad Fischer, Muhammad Bashir Khan, et al.. (2021). Improved SARS-CoV-2 Mpro inhibitors based on feline antiviral drug GC376: Structural enhancements, increased solubility, and micellar studies. European Journal of Medicinal Chemistry. 222. 113584–113584. 65 indexed citations
8.
Bai, Bing, Elena Arutyunova, Muhammad Bashir Khan, et al.. (2021). Peptidomimetic nitrile warheads as SARS-CoV-2 3CL protease inhibitors. RSC Medicinal Chemistry. 12(10). 1722–1730. 37 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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