Way Cherng Chen

519 total citations
11 papers, 387 citations indexed

About

Way Cherng Chen is a scholar working on Radiology, Nuclear Medicine and Imaging, Molecular Biology and Cognitive Neuroscience. According to data from OpenAlex, Way Cherng Chen has authored 11 papers receiving a total of 387 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Radiology, Nuclear Medicine and Imaging, 4 papers in Molecular Biology and 3 papers in Cognitive Neuroscience. Recurrent topics in Way Cherng Chen's work include Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Functional Brain Connectivity Studies (2 papers). Way Cherng Chen is often cited by papers focused on Advanced MRI Techniques and Applications (4 papers), Advanced Neuroimaging Techniques and Applications (3 papers) and Functional Brain Connectivity Studies (2 papers). Way Cherng Chen collaborates with scholars based in Singapore, United Kingdom and United States. Way Cherng Chen's co-authors include Sean Foxley, Karla L. Miller, Xing Qi Teo, George K. Radda, Chern Chiuh Woo, Desiree Abdurrachim, Chee Jian Pua, Janise Lalic, Sze Jie Loo and Ru‐San Tan and has published in prestigious journals such as Circulation, NeuroImage and International Journal of Molecular Sciences.

In The Last Decade

Way Cherng Chen

10 papers receiving 384 citations

Peers

Way Cherng Chen

MB

RNMI

SURGE

CCM

EPIDE

R.H. Boerman Netherlands

Wanda B. High United States

Rosa Negro‐Vilar United States

Matthias Jung Germany

Kieron South United Kingdom

Rashida Williams United States

S. H. Chao United States

Ellen Gielen Belgium

Guangfu Wang China

J.L. Llácer Spain

R.H. Boerman Netherlands

Way Cherng Chen

114 ×0.5

MB

74 ×0.7

RNMI

65 ×0.7

SURGE

40 ×0.6

CCM

65 ×1.4

EPIDE

Citations per year, relative to Way Cherng Chen Way Cherng Chen (= 1×) peers R.H. Boerman

Countries citing papers authored by Way Cherng Chen

Since Specialization

Citations

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

Fields of papers citing papers by Way Cherng Chen

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Way Cherng Chen. 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 Way Cherng Chen. The network helps show where Way Cherng Chen may publish in the future.

Co-authorship network of co-authors of Way Cherng Chen

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

All Works

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11 of 11 papers shown

1.

Patel, Bharati Kadamb, Yee Kit Tai, Tuan Zea Tan, et al.. (2025). Fecal Microbiota Transplantation from Mice Receiving Magnetic Mitohormesis Treatment Reverses High-Fat Diet-Induced Metabolic and Osteogenic Dysfunction. International Journal of Molecular Sciences. 26(12). 5450–5450. 1 indexed citations

2.

Chen, Way Cherng, et al.. (2025). Advanced preclinical functional magnetic resonance imaging of the brain. PubMed. 3(1). 27–27.

3.

Hey, Hwee Weng Dennis, et al.. (2021). Paraspinal myopathy-induced intervertebral disc degeneration and thoracolumbar kyphosis in TSC1mKO mice model—a preliminary study. The Spine Journal. 22(3). 483–494. 10 indexed citations

4.

Park, Sung Jin, et al.. (2021). Predictive mouse model reflects distinct stages of human atheroma in a single carotid artery. Translational research. 240. 33–49. 6 indexed citations

5.

Tran, Anh, Tong San Koh, Thi Bich Uyen Le, et al.. (2020). Dynamic Contrast-Enhanced Magnetic Resonance Imaging as Imaging Biomarker for Vascular Normalization Effect of Infigratinib in High-FGFR-Expressing Hepatocellular Carcinoma Xenografts. Molecular Imaging and Biology. 23(1). 70–83. 4 indexed citations

6.

Ye, Lei, Giuseppe D’Agostino, Sze Jie Loo, et al.. (2018). Early Regenerative Capacity in the Porcine Heart. Circulation. 138(24). 2798–2808. 187 indexed citations

7.

Foxley, Sean, et al.. (2017). The effect of realistic geometries on the susceptibility‐weighted MR signal in white matter. Magnetic Resonance in Medicine. 79(1). 489–500. 34 indexed citations

8.

Woo, Chern Chiuh, et al.. (2016). Downregulating serine hydroxymethyltransferase 2 (SHMT2) suppresses tumorigenesis in human hepatocellular carcinoma. Oncotarget. 7(33). 53005–53017. 64 indexed citations

9.

Zhang, Binbin, et al.. (2015). Spatial memory training induces morphological changes detected by manganese-enhanced MRI in the hippocampal CA3 mossy fiber terminal zone. NeuroImage. 128. 227–237. 7 indexed citations

10.

Chen, Way Cherng, et al.. (2015). Robust hyperpolarized ¹³C metabolic imaging with selective non‐excitation of pyruvate (SNEP). NMR in Biomedicine. 28(8). 1021–1030. 8 indexed citations

11.

Chen, Way Cherng, Sean Foxley, & Karla L. Miller. (2012). Detecting microstructural properties of white matter based on compartmentalization of magnetic susceptibility. NeuroImage. 70. 1–9. 66 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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