Sing Wan Wong

700 total citations
20 papers, 575 citations indexed

About

Sing Wan Wong is a scholar working on Molecular Biology, Cell Biology and Surgery. According to data from OpenAlex, Sing Wan Wong has authored 20 papers receiving a total of 575 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Molecular Biology, 6 papers in Cell Biology and 5 papers in Surgery. Recurrent topics in Sing Wan Wong's work include Cellular Mechanics and Interactions (6 papers), Mesenchymal stem cell research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Sing Wan Wong is often cited by papers focused on Cellular Mechanics and Interactions (6 papers), Mesenchymal stem cell research (5 papers) and Tissue Engineering and Regenerative Medicine (4 papers). Sing Wan Wong collaborates with scholars based in United States, Hong Kong and Switzerland. Sing Wan Wong's co-authors include Jae‐Won Shin, Stephen Lenzini, David Mooney, Madeline H. Cooper, Liyuan Zhang, Christina M. Tringides, Kyle H. Vining, Angelo S. Mao, Nisarg J. Shah and David A. Weitz and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Advanced Materials and ACS Nano.

In The Last Decade

Sing Wan Wong

19 papers receiving 571 citations

Peers

Sing Wan Wong

SURGE

GENET

Isabella Pallotta United States

Lenie J. van den Broek Netherlands

Cierra J. Walker United States

Katja Franke Germany

Marina Prewitz Germany

Ekaterina Kniazeva United States

Stefania Croce Italy

Yulia Shamis United States

Wen Xu China

Ross Fitzsimmons Canada

Isabella Pallotta United States

Sing Wan Wong

107 ×0.5

171 ×0.9

122 ×0.9

SURGE

127 ×1.0

GENET

62 ×0.6

Citations per year, relative to Sing Wan Wong Sing Wan Wong (= 1×) peers Isabella Pallotta

Countries citing papers authored by Sing Wan Wong

Since Specialization

Citations

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

Fields of papers citing papers by Sing Wan Wong

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sing Wan Wong

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

All Works

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20 of 20 papers shown

Cho, Ik Sung, Akshay Joshi, Prerak Gupta, et al.. (2025). Innate Immune‐Cloaked Microgel‐Coated Mesenchymal Stromal Cells Reverse Persistent Pulmonary Fibrosis via Reparative Macrophages. Advanced Materials. 38(1). e04590–e04590.

Rocha, André Monteiro da, Isabel G. Newton, Anna Shcherbina, et al.. (2025). Manipulation of the nucleoscaffold potentiates cellular reprogramming kinetics. PNAS Nexus. 4(10). pgaf307–pgaf307. 1 indexed citations

Wong, Sing Wan, et al.. (2023). Development of a programmable magnetic agitation device to maintain colloidal suspension of cells during microfluidic syringe pump perfusion. PLoS ONE. 18(3). e0282563–e0282563. 5 indexed citations

Singh, Abhalaxmi, Sreeparna Chakraborty, Sing Wan Wong, et al.. (2022). Nanoparticle targeting of de novo profibrotic macrophages mitigates lung fibrosis. Proceedings of the National Academy of Sciences. 119(15). e2121098119–e2121098119. 71 indexed citations

Cho, Ik Sung, Prerak Gupta, Sing Wan Wong, et al.. (2022). Deterministic Single Cell Encapsulation in Asymmetric Microenvironments to Direct Cell Polarity. Advanced Science. 10(3). e2206014–e2206014. 14 indexed citations

Wong, Sing Wan, et al.. (2021). Matrix biophysical cues direct mesenchymal stromal cell functions in immunity. Acta Biomaterialia. 133. 126–138. 21 indexed citations

Wong, Sing Wan, Ik Sung Cho, Péter T. Tóth, et al.. (2021). Inhibition of aberrant tissue remodelling by mesenchymal stromal cells singly coated with soft gels presenting defined chemomechanical cues. Nature Biomedical Engineering. 6(1). 54–66. 36 indexed citations

Lenzini, Stephen, Koushik Debnath, Jagdish Chandra Joshi, et al.. (2021). Cell–Matrix Interactions Regulate Functional Extracellular Vesicle Secretion from Mesenchymal Stromal Cells. ACS Nano. 15(11). 17439–17452. 39 indexed citations

Wong, Sing Wan, et al.. (2020). Hydrogel Micropost Arrays with Single Post Tunability to Study Cell Volume and Mechanotransduction. Advanced Biosystems. 4(11). e2000012–e2000012. 13 indexed citations

10.

Wong, Sing Wan, Stephen Lenzini, Madeline H. Cooper, David Mooney, & Jae‐Won Shin. (2020). Soft extracellular matrix enhances inflammatory activation of mesenchymal stromal cells to induce monocyte production and trafficking. Science Advances. 6(15). eaaw0158–eaaw0158. 96 indexed citations

11.

Wong, Sing Wan, Stephen Lenzini, Zhe Feng, et al.. (2020). Controlled Deposition of 3D Matrices to Direct Single Cell Functions. Advanced Science. 7(20). 2001066–2001066. 22 indexed citations

12.

Mao, Angelo S., Berna Özkale, Nisarg J. Shah, et al.. (2019). Programmable microencapsulation for enhanced mesenchymal stem cell persistence and immunomodulation. Proceedings of the National Academy of Sciences. 116(31). 15392–15397. 150 indexed citations

13.

Wong, Sing Wan, Stephen Lenzini, & Jae‐Won Shin. (2018). Perspective: Biophysical regulation of cancerous and normal blood cell lineages in hematopoietic malignancies. APL Bioengineering. 2(3). 31802–31802. 11 indexed citations

14.

Wong, Sing Wan, et al.. (2017). Intermittent vibration protects aged muscle from mechanical and oxidative damage under prolonged compression. Journal of Biomechanics. 55. 113–120. 8 indexed citations

15.

Ye, Hong, Yifei Yao, Sing Wan Wong, Liming Bian, & Arthur F.T. Mak. (2016). Change in viability of C2C12 myoblasts under compression, shear and oxidative challenges. Journal of Biomechanics. 49(8). 1305–1310. 9 indexed citations

16.

Wong, Sing Wan, Yifei Yao, Hong Ye, et al.. (2016). Preventive Effects of Poloxamer 188 on Muscle Cell Damage Mechanics Under Oxidative Stress. Annals of Biomedical Engineering. 45(4). 1083–1092. 9 indexed citations

17.

Yao, Yifei, Sing Wan Wong, Yu‐Chun Hsu, et al.. (2015). The Effects of Oxidative Stress on the Compressive Damage Thresholds of C2C12 Mouse Myoblasts: Implications for Deep Tissue Injury. Annals of Biomedical Engineering. 43(2). 287–296. 14 indexed citations

18.

Sun, Shan, et al.. (2014). Impact of oxidative stress on cellular biomechanics and rho signaling in C2C12 myoblasts. Journal of Biomechanics. 47(15). 3650–3656. 23 indexed citations

19.

Wong, Sing Wan, Shan Sun, Michael Cho, KK Lee, & Arthur F.T. Mak. (2014). H2O2 Exposure Affects Myotube Stiffness and Actin Filament Polymerization. Annals of Biomedical Engineering. 43(5). 1178–1188. 16 indexed citations

20.

Tang, Florence, John Y.H. Chan, Sing Wan Wong, et al.. (2013). Promyelocytic Leukemia (PML) Protein Plays Important Roles in Regulating Cell Adhesion, Morphology, Proliferation and Migration. PLoS ONE. 8(3). e59477–e59477. 17 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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