Alan H. M. Wong

1.2k total citations · 1 hit paper
9 papers, 826 citations indexed

About

Alan H. M. Wong is a scholar working on Infectious Diseases, Molecular Biology and Animal Science and Zoology. According to data from OpenAlex, Alan H. M. Wong has authored 9 papers receiving a total of 826 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Infectious Diseases, 3 papers in Molecular Biology and 3 papers in Animal Science and Zoology. Recurrent topics in Alan H. M. Wong's work include SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (3 papers) and Reproductive System and Pregnancy (2 papers). Alan H. M. Wong is often cited by papers focused on SARS-CoV-2 and COVID-19 Research (3 papers), Animal Virus Infections Studies (3 papers) and Reproductive System and Pregnancy (2 papers). Alan H. M. Wong collaborates with scholars based in Canada and United States. Alan H. M. Wong's co-authors include James M. Rini, Pierre J. Talbot, Marc Desforges, Dongxia Zhou, Alain Le Coupanec, Mathieu Dubé, Grant C. Hughes, Aidan C.A. Tomlinson, Edward A. Clark and John L. Rubinstein and has published in prestigious journals such as Journal of Biological Chemistry, Nature Communications and Journal of Virology.

In The Last Decade

Alan H. M. Wong

9 papers receiving 805 citations

Hit Papers

Axonal Transport Enables Neuron-to-Neuron Propagation of ... 2018 2026 2020 2023 2018 100 200 300

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Alan H. M. Wong Canada 8 384 289 132 106 102 9 826
Man Chun Cheung Hong Kong 7 721 1.9× 199 0.7× 185 1.4× 79 0.7× 42 0.4× 10 1.1k
Érica T. Prates United States 13 226 0.6× 83 0.3× 255 1.9× 21 0.2× 19 0.2× 29 723
Carolina Kymie Vasques Nonaka Brazil 17 261 0.7× 36 0.1× 268 2.0× 40 0.4× 21 0.2× 49 945
Qianqian Zhang China 13 248 0.6× 63 0.2× 144 1.1× 38 0.4× 15 0.1× 45 666
Hélène Salvator France 16 124 0.3× 47 0.2× 145 1.1× 32 0.3× 5 0.0× 43 793
I. V. Kudryavtsev Russia 14 139 0.4× 65 0.2× 207 1.6× 69 0.7× 4 0.0× 129 765
David R. Strayer United States 19 93 0.2× 58 0.2× 210 1.6× 120 1.1× 10 0.1× 52 1.1k
Maria E. Ariza United States 19 77 0.2× 127 0.4× 306 2.3× 151 1.4× 3 0.0× 37 869
Erwan Sallard Germany 9 376 1.0× 142 0.5× 138 1.0× 41 0.4× 19 0.2× 19 609
Kaiyu Wang China 17 62 0.2× 49 0.2× 131 1.0× 52 0.5× 37 0.4× 98 843

Countries citing papers authored by Alan H. M. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Alan H. M. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Alan H. M. Wong. 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 Alan H. M. Wong. The network helps show where Alan H. M. Wong may publish in the future.

Co-authorship network of co-authors of Alan H. M. Wong

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

All Works

9 of 9 papers shown
1.
Jin, Min, Zhijie Li, Alan H. M. Wong, et al.. (2025). Human coronavirus HKU1 spike structures reveal the basis for sialoglycan specificity and carbohydrate-promoted conformational changes. Nature Communications. 16(1). 4158–4158. 3 indexed citations
2.
Li, Zhijie, Aidan C.A. Tomlinson, Alan H. M. Wong, et al.. (2019). The human coronavirus HCoV-229E S-protein structure and receptor binding. eLife. 8. 145 indexed citations
3.
Dubé, Mathieu, Alain Le Coupanec, Alan H. M. Wong, et al.. (2018). Axonal Transport Enables Neuron-to-Neuron Propagation of Human Coronavirus OC43. Journal of Virology. 92(17). 342 indexed citations breakdown →
4.
Wong, Alan H. M., Aidan C.A. Tomlinson, Dongxia Zhou, et al.. (2017). Receptor-binding loops in alphacoronavirus adaptation and evolution. Nature Communications. 8(1). 1735–1735. 70 indexed citations
5.
Youngblut, Matthew D., Chi-Lin Tsai, Iain C. Clark, et al.. (2016). Perchlorate Reductase Is Distinguished by Active Site Aromatic Gate Residues. Journal of Biological Chemistry. 291(17). 9190–9202. 61 indexed citations
6.
Wong, Alan H. M., et al.. (2015). Altered IgG autoantibody levels and CD4+T cell subsets in lupus-proneNba2mice lacking the nuclear progesterone receptor. Autoimmunity. 48(6). 389–401. 12 indexed citations
7.
Hughes, Grant C., Edward A. Clark, & Alan H. M. Wong. (2013). The intracellular progesterone receptor regulates CD4+ T cells and T cell-dependent antibody responses. Journal of Leukocyte Biology. 93(3). 369–375. 63 indexed citations
8.
Wong, Alan H. M., Dongxia Zhou, & James M. Rini. (2012). The X-ray Crystal Structure of Human Aminopeptidase N Reveals a Novel Dimer and the Basis for Peptide Processing. Journal of Biological Chemistry. 287(44). 36804–36813. 122 indexed citations
9.
Colburn, Keith K., et al.. (1990). B-adrenergic receptor stimulation increases anti-DNA antibody production in MRL/1 pr mice.. PubMed. 17(2). 138–41. 8 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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