Yow Keat Tham

1.9k total citations · 1 hit paper
20 papers, 1.5k citations indexed

About

Yow Keat Tham is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Physiology. According to data from OpenAlex, Yow Keat Tham has authored 20 papers receiving a total of 1.5k indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cardiology and Cardiovascular Medicine, 9 papers in Molecular Biology and 6 papers in Physiology. Recurrent topics in Yow Keat Tham's work include Cardiovascular Function and Risk Factors (9 papers), Adipose Tissue and Metabolism (6 papers) and MicroRNA in disease regulation (5 papers). Yow Keat Tham is often cited by papers focused on Cardiovascular Function and Risk Factors (9 papers), Adipose Tissue and Metabolism (6 papers) and MicroRNA in disease regulation (5 papers). Yow Keat Tham collaborates with scholars based in Australia, United States and United Kingdom. Yow Keat Tham's co-authors include Julie R. McMullen, Bianca C. Bernardo, Jenny Y. Y. Ooi, Kate L. Weeks, Helen Kiriazis, Esther J. H. Boey, Paul Gregorevic, Ruby C.Y. Lin, Catherine E. Winbanks and Susanna Obad and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and PLoS ONE.

In The Last Decade

Yow Keat Tham

18 papers receiving 1.5k citations

Hit Papers

1 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Pathophysiology of cardiac hypertrophy and heart failure: signaling pathways and novel therapeutic targets

2015 531 citations Yow Keat Tham, Bianca C. Bernardo et al. Archives of Toxicology profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Yow Keat Tham Australia	13	965	643	466	147	131	20	1.5k
Jenny Y. Y. Ooi Australia	19	1.1k 1.2×	617 1.0×	490 1.1×	170 1.2×	156 1.2×	29	1.8k
Federico Damilano United States	18	808 0.8×	454 0.7×	201 0.4×	267 1.8×	163 1.2×	26	1.4k
Yong‐Heng Fu China	20	769 0.8×	272 0.4×	484 1.0×	56 0.4×	133 1.0×	37	1.2k
Nathalie Mougenot France	26	948 1.0×	683 1.1×	154 0.3×	164 1.1×	223 1.7×	70	1.8k
Hidenori Matsusaka Japan	13	888 0.9×	934 1.5×	269 0.6×	240 1.6×	245 1.9×	19	1.7k
Xiying Shang United States	19	1.1k 1.1×	612 1.0×	214 0.5×	214 1.5×	193 1.5×	28	1.9k
Julia Ritterhoff United States	18	1.0k 1.1×	595 0.9×	118 0.3×	320 2.2×	222 1.7×	28	1.5k
Alexander R Mackie United States	19	935 1.0×	487 0.8×	257 0.6×	157 1.1×	220 1.7×	24	1.4k
Hongli Sun China	19	707 0.7×	200 0.3×	304 0.7×	65 0.4×	102 0.8×	32	1.1k
Jiening Xiao Canada	18	1.4k 1.4×	689 1.1×	830 1.8×	59 0.4×	89 0.7×	29	1.9k

Countries citing papers authored by Yow Keat Tham

Since Specialization

Citations

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

Fields of papers citing papers by Yow Keat Tham

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yow Keat Tham. 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 Yow Keat Tham. The network helps show where Yow Keat Tham may publish in the future.

Co-authorship network of co-authors of Yow Keat Tham

This figure shows the co-authorship network connecting the top 25 collaborators of Yow Keat Tham. A scholar is included among the top collaborators of Yow Keat Tham 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 Yow Keat Tham. Yow Keat Tham 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

Deo, Minh, Yow Keat Tham, Natalie A. Mellett, et al.. (2025). Influence of diet-induced obesity and voluntary exercise training on cardiac lipids and mitochondrial function in mice. Journal of sport and health science. 15. 101095–101095.

Bernardo, Bianca C., Ashton Faulkner, Tingting Wang, et al.. (2025). Lipidomic Profiling of a Preclinical Model of Streptozotocin-Induced Diabetic Cardiomyopathy Reveals Potential Plasma Biomarkers. Heart Lung and Circulation. 34(7). 739–742. 1 indexed citations

Donner, D., Anne M. Kong, Jarmon G. Lees, et al.. (2024). Acute Inhibition of Drp1 Mitigates Adverse Cardiac Remodelling following Chronic Reperfused Myocardial Infarction. Cardiovascular Drugs and Therapy. 39(5). 953–959.

Tham, Yow Keat, et al.. (2023). Lipids regulated by exercise and phosphoinositide 3-kinase: potential role as biomarkers and therapeutic targets for cardiovascular disease. Current Opinion in Physiology. 32. 100633–100633. 1 indexed citations

Tham, Yow Keat, Bianca C. Bernardo, Bethany Claridge, et al.. (2022). Estrogen receptor α deficiency in cardiac myocytes reprograms heart-derived extracellular vesicle proteome and induces obesity in female mice. Journal of Molecular and Cellular Cardiology. 173. S104–S104. 1 indexed citations

Weeks, Kate L., Yow Keat Tham, Suzan Yıldız, et al.. (2021). FoxO1 is required for physiological cardiac hypertrophy induced by exercise but not by constitutively active PI3K. American Journal of Physiology-Heart and Circulatory Physiology. 320(4). H1470–H1485. 23 indexed citations

Tham, Yow Keat, Kaushala S. Jayawardana, Zahir H. Alshehry, et al.. (2020). Novel Lipid Species for Detecting and Predicting Atrial Fibrillation in Patients With Type 2 Diabetes. Diabetes. 70(1). 255–261. 9 indexed citations

Tham, Yow Keat, Bianca C. Bernardo, Kevin Huynh, et al.. (2018). Lipidomic Profiles of the Heart and Circulation in Response to Exercise versus Cardiac Pathology: A Resource of Potential Biomarkers and Drug Targets. Cell Reports. 24(10). 2757–2772. 52 indexed citations

Bernardo, Bianca C., Kate L. Weeks, Xiao‐Ming Gao, et al.. (2018). Gene delivery of medium chain acyl-coenzyme A dehydrogenase induces physiological cardiac hypertrophy and protects against pathological remodelling. Clinical Science. 132(3). 381–397. 18 indexed citations

10.

Tham, Yow Keat, Kevin Huynh, Natalie A. Mellett, et al.. (2017). Distinct lipidomic profiles in models of physiological and pathological cardiac remodeling, and potential therapeutic strategies. Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids. 1863(3). 219–234. 28 indexed citations

11.

Bernardo, Bianca C., Xiao‐Ming Gao, Yow Keat Tham, et al.. (2016). Inhibition of miR-154 Protects Against Cardiac Dysfunction and Fibrosis in a Mouse Model of Pressure Overload. Scientific Reports. 6(1). 22442–22442. 44 indexed citations

12.

Bernardo, Bianca C., Jenny Y. Y. Ooi, Aya Matsumoto, et al.. (2016). Sex differences in response to miRNA‐34a therapy in mouse models of cardiac disease: identification of sex‐, disease‐ and treatment‐regulated miRNAs. The Journal of Physiology. 594(20). 5959–5974. 38 indexed citations

13.

Tham, Yow Keat, Bianca C. Bernardo, Jenny Y. Y. Ooi, Kate L. Weeks, & Julie R. McMullen. (2015). Pathophysiology of cardiac hypertrophy and heart failure: signaling pathways and novel therapeutic targets. Archives of Toxicology. 89(9). 1401–1438. 531 indexed citations breakdown →

14.

Bernardo, Bianca C., Xiao‐Ming Gao, Yow Keat Tham, et al.. (2014). Silencing of miR-34a Attenuates Cardiac Dysfunction in a Setting of Moderate, but Not Severe, Hypertrophic Cardiomyopathy. PLoS ONE. 9(2). e90337–e90337. 66 indexed citations

15.

Tham, Yow Keat, Nelly Cemerlang, Aya Matsumoto, et al.. (2014). The small-molecule BGP-15 protects against heart failure and atrial fibrillation in mice. Nature Communications. 5(1). 5705–5705. 86 indexed citations

16.

Bernardo, Bianca C., Catherine E. Winbanks, Xiao‐Ming Gao, et al.. (2014). Therapeutic silencing of miR‐652 restores heart function and attenuates adverse remodeling in a setting of established pathological hypertrophy. The FASEB Journal. 28(12). 5097–5110. 64 indexed citations

17.

Bernardo, Bianca C., Xiao‐Ming Gao, Yow Keat Tham, et al.. (2013). The Therapeutic Potential of microRNA-652 for the Treatment of Heart Failure. Heart Lung and Circulation. 22. S60–S60. 1 indexed citations

18.

Ritchie, Rebecca H., J. Love, Bianca C. Bernardo, et al.. (2012). Enhanced phosphoinositide 3-kinase(p110α) activity prevents diabetes-induced cardiomyopathy and superoxide generation in a mouse model of diabetes. Diabetologia. 55(12). 3369–3381. 80 indexed citations

19.

Weeks, Kate L., Xiao‐Ming Gao, Xiao‐Jun Du, et al.. (2012). Phosphoinositide 3-Kinase p110α Is a Master Regulator of Exercise-Induced Cardioprotection and PI3K Gene Therapy Rescues Cardiac Dysfunction. Circulation Heart Failure. 5(4). 523–534. 116 indexed citations

20.

Bernardo, Bianca C., Xiao-Ming Gao, Catherine E. Winbanks, et al.. (2012). Therapeutic inhibition of the miR-34 family attenuates pathological cardiac remodeling and improves heart function. Proceedings of the National Academy of Sciences. 109(43). 17615–17620. 360 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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