Wayne Vuong

932 total citations
8 papers, 521 citations indexed

About

Wayne Vuong is a scholar working on Infectious Diseases, Computational Theory and Mathematics and Molecular Biology. According to data from OpenAlex, Wayne Vuong has authored 8 papers receiving a total of 521 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Infectious Diseases, 3 papers in Computational Theory and Mathematics and 2 papers in Molecular Biology. Recurrent topics in Wayne Vuong's work include SARS-CoV-2 and COVID-19 Research (5 papers), Computational Drug Discovery Methods (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Wayne Vuong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (5 papers), Computational Drug Discovery Methods (3 papers) and Tuberculosis Research and Epidemiology (2 papers). Wayne Vuong collaborates with scholars based in Canada and United States. Wayne Vuong's co-authors include John C. Vederas, M. Joanne Lemieux, Muhammad Bashir Khan, Howard S. Young, Tess Lamer, Elena Arutyunova, Conrad Fischer, D. Lorne Tyrrell, Marco J. van Belkum and Holly A. Saffran and has published in prestigious journals such as Nature Communications, Journal of Molecular Biology and The Journal of Organic Chemistry.

In The Last Decade

Wayne Vuong

8 papers receiving 514 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Wayne Vuong Canada	7	327	320	174	118	35	8	521
Tess Lamer Canada	9	353 1.1×	339 1.1×	212 1.2×	116 1.0×	38 1.1×	18	624
Athri D. Rathnayake United States	11	359 1.1×	263 0.8×	144 0.8×	109 0.9×	69 2.0×	16	539
M.M. Kashipathy United States	10	282 0.9×	232 0.7×	184 1.1×	84 0.7×	27 0.8×	23	503
Haozhou Tan United States	13	427 1.3×	339 1.1×	229 1.3×	142 1.2×	16 0.5×	27	700
Yinkai Duan China	5	318 1.0×	202 0.6×	155 0.9×	58 0.5×	17 0.5×	7	459
Krishani Dinali Perera United States	9	275 0.8×	192 0.6×	94 0.5×	65 0.6×	52 1.5×	11	385
Maura V. Gongora United States	4	299 0.9×	222 0.7×	135 0.8×	78 0.7×	11 0.3×	4	435
Mikołaj Żmudziński Poland	8	394 1.2×	325 1.0×	282 1.6×	115 1.0×	18 0.5×	9	699
Changkang Huang China	10	518 1.6×	429 1.3×	378 2.2×	182 1.5×	62 1.8×	12	865
Hui-Chuan Chang Taiwan	9	275 0.8×	200 0.6×	254 1.5×	45 0.4×	37 1.1×	16	499

Countries citing papers authored by Wayne Vuong

Since Specialization

Citations

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

Fields of papers citing papers by Wayne Vuong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Wayne Vuong

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

All Works

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8 of 8 papers shown

Reiz, Béla, Wayne Vuong, M. Joanne Lemieux, et al.. (2023). Deuteration for Metabolic Stabilization of SARS-CoV-2 Inhibitors GC373 and Nirmatrelvir. Organic Letters. 25(31). 5885–5889. 6 indexed citations

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

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

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

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

Vuong, Wayne & John C. Vederas. (2021). Improved Synthesis of a Cyclic Glutamine Analogue Used in Antiviral Agents Targeting 3C and 3CL Proteases Including SARS-CoV-2 M^pro. The Journal of Organic Chemistry. 86(18). 13104–13110. 5 indexed citations

Vuong, Wayne, Muhammad Bashir Khan, Conrad Fischer, et al.. (2020). Feline coronavirus drug inhibits the main protease of SARS-CoV-2 and blocks virus replication. Nature Communications. 11(1). 4282–4282. 340 indexed citations

Vuong, Wayne, et al.. (2019). Synthesis of Chiral Spin-Labeled Amino Acids. Organic Letters. 21(24). 10149–10153. 10 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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