Wah Y. Wong

736 total citations
22 papers, 517 citations indexed

About

Wah Y. Wong is a scholar working on Molecular Biology, Radiology, Nuclear Medicine and Imaging and Genetics. According to data from OpenAlex, Wah Y. Wong has authored 22 papers receiving a total of 517 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Molecular Biology, 8 papers in Radiology, Nuclear Medicine and Imaging and 7 papers in Genetics. Recurrent topics in Wah Y. Wong's work include Biochemical and Structural Characterization (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Wah Y. Wong is often cited by papers focused on Biochemical and Structural Characterization (9 papers), Glycosylation and Glycoproteins Research (8 papers) and Monoclonal and Polyclonal Antibodies Research (8 papers). Wah Y. Wong collaborates with scholars based in Canada and United States. Wah Y. Wong's co-authors include Randall T. Irvin, Robert S. Hodges, W Paranchych, Hasmukh B. Sheth, Ole Hindsgaul, Brian D. Sykes, Clifford A. Lingwood, Richard Sherburne, H C Krivan and Geeta Srivastava and has published in prestigious journals such as Science, Journal of Molecular Biology and Biochemistry.

In The Last Decade

Wah Y. Wong

21 papers receiving 499 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Wah Y. Wong Canada 12 379 127 83 76 75 22 517
Emilie Lameignère Canada 16 452 1.2× 132 1.0× 106 1.3× 65 0.9× 32 0.4× 18 762
H Furukawa Japan 11 220 0.6× 144 1.1× 200 2.4× 49 0.6× 33 0.4× 30 475
Anthony Zaleski United States 8 255 0.7× 71 0.6× 47 0.6× 24 0.3× 224 3.0× 10 535
S Sawada Japan 12 213 0.6× 67 0.5× 55 0.7× 90 1.2× 29 0.4× 16 479
Marco Biancucci United States 15 280 0.7× 97 0.8× 41 0.5× 51 0.7× 49 0.7× 20 547
Birte Hernandez Alvarez Germany 17 553 1.5× 105 0.8× 115 1.4× 27 0.4× 31 0.4× 31 720
Simon Devos Belgium 8 251 0.7× 31 0.2× 31 0.4× 72 0.9× 106 1.4× 20 468
Adam J. Pelzek United States 13 389 1.0× 85 0.7× 335 4.0× 86 1.1× 135 1.8× 17 783
Richard Fish United States 5 265 0.7× 87 0.7× 50 0.6× 41 0.5× 37 0.5× 7 456
L.M. Loomes United Kingdom 11 291 0.8× 21 0.2× 35 0.4× 124 1.6× 111 1.5× 14 573

Countries citing papers authored by Wah Y. Wong

Since Specialization
Citations

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

Fields of papers citing papers by Wah Y. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Wah Y. 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 Wah Y. Wong. The network helps show where Wah Y. Wong may publish in the future.

Co-authorship network of co-authors of Wah Y. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Wah Y. Wong. A scholar is included among the top collaborators of Wah Y. 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 Wah Y. Wong. Wah Y. Wong 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
1.
2.
Wong, Wah Y., Jamshid Tanha, Lakshmi Krishnan, et al.. (2017). Abstract A74: CAR-T cells harboring camelid single domain antibody as targeting agent to CEACAM6 antigen in pancreatic cancer. Cancer Immunology Research. 5(3_Supplement). A74–A74. 2 indexed citations
3.
Wong, Wah Y., et al.. (2016). Abstract A144: Urease-mediated alkalization of tumor microenvironment and its effects on T cell proliferation, cytokine release, and PD-1/PD-L1 interactions. Cancer Immunology Research. 4(11_Supplement). A144–A144. 3 indexed citations
4.
Zeng, Guisheng, Wah Y. Wong, Lakshman P. Samaranayake, et al.. (2015). New "haploid biofilm model" unravels IRA2 as a novel regulator of Candida albicans biofilm. 1 indexed citations
5.
Tian, Baomin, et al.. (2015). Production and Characterization of a Camelid Single Domain Antibody–Urease Enzyme Conjugate for the Treatment of Cancer. Bioconjugate Chemistry. 26(6). 1144–1155. 31 indexed citations
6.
Wong, Wah Y.. (2014). Copper for breast cancer metastasis. Science. 344(6189). 1238–1238. 1 indexed citations
7.
Wong, Wah Y., C.I. Deluca, Baomin Tian, et al.. (2005). Urease-induced alkalinization of extracellular pH and its antitumor activity in human breast and lung cancers.. PubMed. 5(2). 93–9. 12 indexed citations
8.
Campbell, A. Patricia, Wah Y. Wong, Randall T. Irvin, & Brian D. Sykes. (2000). Interaction of a Bacterially Expressed Peptide from the Receptor Binding Domain of Pseudomonas aeruginosa Pili Strain PAK with a Cross-Reactive Antibody:  Conformation of the Bound Peptide. Biochemistry. 39(48). 14847–14864. 10 indexed citations
9.
Cachia, Paul J., et al.. (1998). The use of synthetic peptides in the design of a consensus sequence vaccine for Pseudomonas aeruginosa. Journal of Peptide Research. 52(4). 289–299. 26 indexed citations
10.
Schweizer, Frank, Hailong Jiao, Ole Hindsgaul, Wah Y. Wong, & Randall T. Irvin. (1998). Interaction between the pili of <i>Pseudomonas aeruginosa </i>PAK and its carbohydrate receptor β-D-GalNAc(1->4) β-D-Gal analogs. Canadian Journal of Microbiology. 44(3). 307–311. 8 indexed citations
11.
Schweizer, Frank, Hailong Jiao, Ole Hindsgaul, Wah Y. Wong, & Randall T. Irvin. (1998). Interaction between the pili of Pseudomonas aeruginosa PAK and its carbohydrate receptor beta-D-GalNAc(1-->4)beta-D-Gal analogs.. PubMed. 44(3). 307–11. 26 indexed citations
12.
Schweizer, Frank, et al.. (1998). Interaction between the pili of Pseudomonas aeruginosa PAK and its carbohydrate receptor β-D-GalNAc(1->4) β-D-Gal analogs. Canadian Journal of Microbiology. 44(3). 307–311. 4 indexed citations
13.
Campbell, A. Patricia, Wah Y. Wong, Mike Houston, et al.. (1997). Interaction of the receptor binding domains of Pseudomonas aeruginosa pili strains PAK, PAO, KB7 and P1 to a cross-reactive antibody and receptor analog: implications for synthetic vaccine design. Journal of Molecular Biology. 267(2). 382–402. 33 indexed citations
14.
Wong, Wah Y., et al.. (1995). [11] Use of synthetic peptides in characterization of microbial adhesins. Methods in enzymology on CD-ROM/Methods in enzymology. 253. 115–131. 13 indexed citations
15.
Wong, Wah Y., Campbell McInnes, Brian D. Sykes, et al.. (1995). Structure-Function Analysis of the Adherence-Binding Domain on the Pilin of Pseudomonas aeruginosa Strains PAK and KB7. Biochemistry. 34(40). 12963–12972. 50 indexed citations
16.
Sheth, Hasmukh B., Wah Y. Wong, Richard Sherburne, et al.. (1994). The binding of Pseudomonas aeruginosa pili to glycosphingolipids is a tip‐associated event involving the C‐terminal region of the structural pilin subunit. Molecular Microbiology. 11(4). 705–713. 129 indexed citations
17.
Sheth, Hasmukh B., Wah Y. Wong, Geeta Srivastava, et al.. (1994). The pili of Pseudomonas aeruginosa strains PAK and PAO bind specifically to the carbohydrate sequence βGalNAc(1–4)βGal found in glycosphingolipids asialo‐GM1 and asialo‐GM2. Molecular Microbiology. 11(4). 715–723. 100 indexed citations
18.
Wong, Wah Y., Hasmukh B. Sheth, Arne Holm, Robert S. Hodges, & Randall T. Irvin. (1994). Representative Combinatorial Peptide Libraries: An Approach to Reduce both Synthesis and Screening Efforts. Methods. 6(4). 404–410. 5 indexed citations
19.
20.
Wong, Wah Y.. (1988). UNICEF in Asia : a historical perspective.

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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