Chee Jian Pua

3.6k total citations
19 papers, 683 citations indexed

About

Chee Jian Pua is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Chee Jian Pua has authored 19 papers receiving a total of 683 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 4 papers in Molecular Biology and 4 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Chee Jian Pua's work include Cardiomyopathy and Myosin Studies (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Chee Jian Pua is often cited by papers focused on Cardiomyopathy and Myosin Studies (6 papers), Cardiac Imaging and Diagnostics (4 papers) and Cardiovascular Function and Risk Factors (4 papers). Chee Jian Pua collaborates with scholars based in Singapore, United Kingdom and United States. Chee Jian Pua's co-authors include Stuart A. Cook, Calvin Chin, Giuseppe D’Agostino, James S. Ware, Roddy Walsh, Shibu John, Rachel Buchan, Paul J.R. Barton, Sze Jie Loo and Lei Ye and has published in prestigious journals such as Circulation, Nature Communications and Circulation Research.

In The Last Decade

Chee Jian Pua

17 papers receiving 677 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Chee Jian Pua Singapore 11 365 314 118 82 64 19 683
Takahiko Nishiyama Japan 18 611 1.7× 465 1.5× 63 0.5× 43 0.5× 76 1.2× 62 1.1k
Daniel J. Lerner United States 19 792 2.2× 653 2.1× 154 1.3× 127 1.5× 44 0.7× 21 1.2k
Sarah E. Topol United States 9 433 1.2× 276 0.9× 135 1.1× 59 0.7× 36 0.6× 10 933
Yoko Tanimoto Japan 15 354 1.0× 319 1.0× 71 0.6× 24 0.3× 25 0.4× 47 756
Thomas R. Austin United States 14 164 0.4× 91 0.3× 55 0.5× 42 0.5× 55 0.9× 41 618
C. Landau United States 6 215 0.6× 184 0.6× 247 2.1× 16 0.2× 65 1.0× 8 598
Robert Larbig Germany 14 576 1.6× 266 0.8× 94 0.8× 109 1.3× 117 1.8× 40 759
Silvia C. Hernández United States 12 121 0.3× 197 0.6× 81 0.7× 51 0.6× 33 0.5× 15 454
Norihiro Ueda Japan 16 432 1.2× 264 0.8× 58 0.5× 23 0.3× 35 0.5× 57 869
Hans J. de Haas Netherlands 7 126 0.3× 122 0.4× 59 0.5× 28 0.3× 78 1.2× 10 405

Countries citing papers authored by Chee Jian Pua

Since Specialization
Citations

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

Fields of papers citing papers by Chee Jian Pua

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Chee Jian Pua. 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 Chee Jian Pua. The network helps show where Chee Jian Pua may publish in the future.

Co-authorship network of co-authors of Chee Jian Pua

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

All Works

19 of 19 papers shown
1.
Wong, Keng Lin, et al.. (2025). Mesenchymal Stem Cell Exosome and Fibrin Sealant Composite Enhances Rabbit Anterior Cruciate Ligament Repair. The American Journal of Sports Medicine. 53(4). 871–884. 2 indexed citations
2.
Bylstra, Yasmin, Angela S. Koh, Hak Chiaw Tang, et al.. (2024). Advancing precision medicine through the integration of clinical cardiovascular genetics - An Asian perspective. Genetics in Medicine Open. 2. 101877–101877.
3.
Ng, Benjamin, Kevin Huang, Chee Jian Pua, et al.. (2024). Interleukin-11 causes alveolar type 2 cell dysfunction and prevents alveolar regeneration. Nature Communications. 15(1). 8530–8530. 5 indexed citations
5.
Pua, Chee Jian, Germaine Loo, Jennifer Bryant, et al.. (2023). Impact of Diabetes on Myocardial Fibrosis in Patients With Hypertension: The REMODEL Study. Circulation Cardiovascular Imaging. 16(7). 545–553. 11 indexed citations
6.
Ng, Benjamin, Chen Xie, Liping Su, et al.. (2023). IL11 (Interleukin-11) Causes Emphysematous Lung Disease in a Mouse Model of Marfan Syndrome. Arteriosclerosis Thrombosis and Vascular Biology. 43(5). 739–754. 8 indexed citations
7.
Pua, Chee Jian, Jennifer Bryant, Chi‐Hang Lee, et al.. (2023). Sacubitril/valsartan versus valsartan in regressing myocardial fibrosis in hypertension: a prospective, randomized, open-label, blinded endpoint clinical trial protocol. Frontiers in Cardiovascular Medicine. 10. 9 indexed citations
8.
Lim, Wei‐Wen, Jinrui Dong, Benjamin Ng, et al.. (2022). Inhibition of IL11 Signaling Reduces Aortic Pathology in Murine Marfan Syndrome. Circulation Research. 130(5). 728–740. 32 indexed citations
9.
Le, Thu‐Thao, Jennifer Bryant, Chee Jian Pua, et al.. (2022). Markers of Focal and Diffuse Nonischemic Myocardial Fibrosis Are Associated With Adverse Cardiac Remodeling and Prognosis in Patients With Hypertension: The REMODEL Study. Hypertension. 79(8). 1804–1813. 35 indexed citations
10.
Le, Thu‐Thao, Benjamin Huang, Chee Jian Pua, et al.. (2021). Lowering the Recommended Maximal Wall Thickness Threshold Improves Diagnostic Sensitivity in Asians With Hypertrophic Cardiomyopathy. JACC Asia. 1(2). 218–226. 5 indexed citations
11.
Viswanathan, Sivakumar, Benjamin Ng, Anissa A. Widjaja, et al.. (2021). Critical Conditions for Studying Interleukin‐11 Signaling In Vitro and Avoiding Experimental Artefacts. Current Protocols. 1(9). e251–e251. 7 indexed citations
12.
Lim, Wei‐Wen, Ben Corden, Benjamin Ng, et al.. (2020). Interleukin-11 is important for vascular smooth muscle phenotypic switching and aortic inflammation, fibrosis and remodeling in mouse models. Scientific Reports. 10(1). 17853–17853. 48 indexed citations
13.
Le, Thu‐Thao, Jennifer Bryant, Chee Jian Pua, et al.. (2020). The application of exercise stress cardiovascular magnetic resonance in patients with suspected dilated cardiomyopathy. Journal of Cardiovascular Magnetic Resonance. 22(1). 10–10. 19 indexed citations
14.
Teo, Jing Xian, Sonia Dávila, Chee Jian Pua, et al.. (2019). Digital phenotyping by consumer wearables identifies sleep-associated markers of cardiovascular disease risk and biological aging. Communications Biology. 2(1). 361–361. 39 indexed citations
15.
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
16.
Lim, Weng Khong, Sonia Dávila, Jing Xian Teo, et al.. (2018). Beyond fitness tracking: The use of consumer-grade wearable data from normal volunteers in cardiovascular and lipidomics research. PLoS Biology. 16(2). e2004285–e2004285. 52 indexed citations
17.
Goh, Vera J., Thu‐Thao Le, Jennifer Bryant, et al.. (2017). Novel Index of Maladaptive Myocardial Remodeling in Hypertension. Circulation Cardiovascular Imaging. 10(9). 32 indexed citations
18.
Pua, Chee Jian, Jaydutt Bhalshankar, Kui Miao, et al.. (2016). Development of a Comprehensive Sequencing Assay for Inherited Cardiac Condition Genes. Journal of Cardiovascular Translational Research. 9(1). 3–11. 53 indexed citations
19.
Walsh, Roddy, Rachel Buchan, Alicja Wilk, et al.. (2016). Defining the genetic architecture of hypertrophic cardiomyopathy: re-evaluating the role of non-sarcomeric genes. European Heart Journal. 38(46). ehw603–ehw603. 139 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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