Sandy M. Wong

2.0k total citations
38 papers, 1.6k citations indexed

About

Sandy M. Wong is a scholar working on Molecular Biology, Microbiology and Epidemiology. According to data from OpenAlex, Sandy M. Wong has authored 38 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 13 papers in Microbiology and 11 papers in Epidemiology. Recurrent topics in Sandy M. Wong's work include Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (10 papers) and RNA and protein synthesis mechanisms (7 papers). Sandy M. Wong is often cited by papers focused on Bacterial Infections and Vaccines (13 papers), Pneumonia and Respiratory Infections (10 papers) and RNA and protein synthesis mechanisms (7 papers). Sandy M. Wong collaborates with scholars based in United States, Australia and Sweden. Sandy M. Wong's co-authors include Brian J. Akerley, John J. Mekalanos, Jeffrey D. Gawronski, Doyle V. Ward, Georgia Giannoukos, Laurence G. Rahme, Stephen B. Calderwood, Frederick M. Ausubel, Martina H. Stenzel and Man‐Wah Tan and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Journal of the American Chemical Society and Journal of Biological Chemistry.

In The Last Decade

Sandy M. Wong

38 papers receiving 1.5k citations

Peers

Sandy M. Wong
Lloyd S. Robinson United States
Sumita Jain United States
Khoosheh K. Gosink United States
Chase Watters United States
Brian D. Corbin United States
Lloyd S. Robinson United States
Sandy M. Wong
Citations per year, relative to Sandy M. Wong Sandy M. Wong (= 1×) peers Lloyd S. Robinson

Countries citing papers authored by Sandy M. Wong

Since Specialization
Citations

This map shows the geographic impact of Sandy 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 Sandy 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 Sandy M. Wong more than expected).

Fields of papers citing papers by Sandy M. Wong

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sandy M. Wong

This figure shows the co-authorship network connecting the top 25 collaborators of Sandy M. Wong. A scholar is included among the top collaborators of Sandy 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 Sandy M. Wong. Sandy M. 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.
Wong, Sandy M., Jeffrey D. Gawronski, & Brian J. Akerley. (2023). Copper Efflux System Required in Murine Lung Infection by Haemophilus influenzae Composed of a Canonical ATPase Gene and Tandem Chaperone Gene Copies. Infection and Immunity. 91(5). e0009123–e0009123. 5 indexed citations
2.
Wee, Caroline Lei, Erin Song, Maxim Nikitchenko, et al.. (2022). Social isolation modulates appetite and avoidance behavior via a common oxytocinergic circuit in larval zebrafish. Nature Communications. 13(1). 2573–2573. 27 indexed citations
3.
Cao, Cheng, Lin Zhang, Ben Kent, et al.. (2021). The Protein Corona Leads to Deformation of Spherical Micelles. Angewandte Chemie. 133(18). 10430–10437. 2 indexed citations
4.
Wong, Sandy M., et al.. (2021). Sialic Acid Protects Nontypeable Haemophilus influenzae from Natural IgM and Promotes Survival in Murine Respiratory Tract. Infection and Immunity. 89(6). 6 indexed citations
5.
Wong, Sandy M., Jiacheng Zhao, Cheng Cao, et al.. (2019). Just add sugar for carbohydrate induced self-assembly of curcumin. Nature Communications. 10(1). 582–582. 73 indexed citations
6.
Wong, Sandy M., et al.. (2019). Suppression of Alternative Lipooligosaccharide Glycosyltransferase Activity by UDP-Galactose Epimerase Enhances Murine Lung Infection and Evasion of Serum IgM. Frontiers in Cellular and Infection Microbiology. 9. 160–160. 10 indexed citations
7.
Wong, Sandy M., Jutamas Shaughnessy, Sanjay Ram, & Brian J. Akerley. (2016). Defining the Binding Region in Factor H to Develop a Therapeutic Factor H-Fc Fusion Protein against Non-Typeable Haemophilus influenzae. Frontiers in Cellular and Infection Microbiology. 6. 40–40. 27 indexed citations
8.
Goebl, James, Yiding Liu, Sandy M. Wong, Serkan Zorba, & Yadong Yin. (2015). Magnetically tunable colloidal micromirrors. Nanoscale Horizons. 1(1). 64–68. 20 indexed citations
9.
Wong, Sandy M., et al.. (2013). Genome-wide fitness profiling reveals adaptations required by Haemophilus in coinfection with influenza A virus in the murine lung. Proceedings of the National Academy of Sciences. 110(38). 15413–15418. 45 indexed citations
10.
Wong, Sandy M. & Brian J. Akerley. (2012). Genome-Scale Approaches to Identify Genes Essential for Haemophilus influenzae Pathogenesis. Frontiers in Cellular and Infection Microbiology. 2. 23–23. 20 indexed citations
11.
Wong, Sandy M., Jeffrey D. Gawronski, David Lapointe, & Brian J. Akerley. (2011). High-Throughput Insertion Tracking by Deep Sequencing for the Analysis of Bacterial Pathogens. Methods in molecular biology. 733. 209–222. 8 indexed citations
12.
Yung, Eric, Sanja Sekulovic, Bob Argiropoulos, et al.. (2010). Delineating domains and functions of NUP98 contributing to the leukemogenic activity of NUP98-HOX fusions. Leukemia Research. 35(4). 545–550. 12 indexed citations
13.
Wong, Sandy M. & Brian J. Akerley. (2008). Identification and Analysis of Essential Genes in Haemophilus influenzae. Methods in molecular biology. 416. 27–44. 13 indexed citations
14.
Rosadini, Charles V., Sandy M. Wong, & Brian J. Akerley. (2008). The Periplasmic Disulfide Oxidoreductase DsbA Contributes to Haemophilus influenzae Pathogenesis. Infection and Immunity. 76(4). 1498–1508. 25 indexed citations
15.
Wong, Sandy M., Kishore R. Alugupalli, Sanjay Ram, & Brian J. Akerley. (2007). The ArcA regulon and oxidative stress resistance in Haemophilus influenzae. Molecular Microbiology. 64(5). 1375–1390. 66 indexed citations
16.
Wong, Sandy M. & Brian J. Akerley. (2004). Environmental and genetic regulation of the phosphorylcholine epitope of Haemophilus influenzae lipooligosaccharide. Molecular Microbiology. 55(3). 724–738. 18 indexed citations
17.
Wong, Sandy M. & Brian J. Akerley. (2003). Inducible expression system and marker-linked mutagenesis approach for functional genomics of Haemophilus influenzae. Gene. 316. 177–186. 19 indexed citations
18.
Wong, Sandy M. & John J. Mekalanos. (2000). Genetic footprinting with mariner -based transposition in Pseudomonas aeruginosa. Proceedings of the National Academy of Sciences. 97(18). 10191–10196. 130 indexed citations
19.
Wong, Sandy M., P. Carroll, Laurence G. Rahme, Frederick M. Ausubel, & Stephen B. Calderwood. (1998). Modulation of Expression of the ToxR Regulon in Vibrio cholerae by a Member of the Two-Component Family of Response Regulators. Infection and Immunity. 66(12). 5854–5861. 67 indexed citations
20.
Braun, Joerg E., B A Fritz, Sandy M. Wong, & Anson W. Lowe. (1994). Identification of a vesicle-associated membrane protein (VAMP)-like membrane protein in zymogen granules of the rat exocrine pancreas.. Journal of Biological Chemistry. 269(7). 5328–5335. 64 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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