Stuart A. Cook

34.6k total citations · 6 hit papers
208 papers, 11.3k citations indexed

About

Stuart A. Cook is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stuart A. Cook has authored 208 papers receiving a total of 11.3k indexed citations (citations by other indexed papers that have themselves been cited), including 116 papers in Cardiology and Cardiovascular Medicine, 73 papers in Molecular Biology and 42 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stuart A. Cook's work include Cardiomyopathy and Myosin Studies (45 papers), Cardiovascular Function and Risk Factors (38 papers) and Cardiac Imaging and Diagnostics (35 papers). Stuart A. Cook is often cited by papers focused on Cardiomyopathy and Myosin Studies (45 papers), Cardiovascular Function and Risk Factors (38 papers) and Cardiac Imaging and Diagnostics (35 papers). Stuart A. Cook collaborates with scholars based in United Kingdom, Singapore and United States. Stuart A. Cook's co-authors include Sebastian Schäfer, Anthony Rosenzweig, James S. Ware, Angela Clerk, Peter H. Sugden, Sanjay Prasad, Declan P. O’Regan, Rachel Buchan, Takashi Matsui and Antonio de Marvao and has published in prestigious journals such as Nature, Science and The Lancet.

In The Last Decade

Stuart A. Cook

201 papers receiving 11.1k citations

Hit Papers

Oxidative damage to DNA in diabetes mellitus 1996 2026 2006 2016 1996 2016 2017 2015 2016 200 400 600

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stuart A. Cook United Kingdom 53 4.8k 4.6k 1.2k 1.2k 1.1k 208 11.3k
Norbert Frey Germany 49 6.4k 1.3× 5.2k 1.1× 596 0.5× 1.4k 1.2× 607 0.6× 500 11.9k
Akira Sato Japan 54 2.9k 0.6× 2.8k 0.6× 847 0.7× 1.6k 1.4× 630 0.6× 502 10.2k
Michael Marber United Kingdom 58 4.1k 0.9× 3.8k 0.8× 1.6k 1.3× 1.6k 1.4× 312 0.3× 248 10.5k
Hugh Watkins United Kingdom 70 6.6k 1.4× 12.7k 2.8× 1.2k 1.0× 2.0k 1.7× 1.3k 1.2× 294 17.9k
Masaaki Ito Japan 54 9.7k 2.0× 3.9k 0.9× 672 0.6× 1.4k 1.2× 590 0.5× 365 16.5k
Christoph Bode Germany 53 3.2k 0.7× 2.5k 0.5× 785 0.7× 1.7k 1.5× 310 0.3× 270 9.1k
Calum A. MacRae United States 63 8.4k 1.7× 7.1k 1.5× 306 0.3× 1.2k 1.0× 1.1k 1.0× 260 15.6k
Joseph M. Smith United States 46 5.7k 1.2× 3.0k 0.7× 408 0.3× 1.2k 1.1× 1.4k 1.3× 141 12.9k
Rahul C. Deo United States 30 2.2k 0.5× 2.2k 0.5× 1.1k 0.9× 839 0.7× 401 0.4× 61 7.3k
Paul C. Evans United Kingdom 51 3.3k 0.7× 1.4k 0.3× 453 0.4× 1.6k 1.4× 542 0.5× 152 8.6k

Countries citing papers authored by Stuart A. Cook

Since Specialization
Citations

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

Fields of papers citing papers by Stuart A. Cook

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Stuart A. Cook. 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 Stuart A. Cook. The network helps show where Stuart A. Cook may publish in the future.

Co-authorship network of co-authors of Stuart A. Cook

This figure shows the co-authorship network connecting the top 25 collaborators of Stuart A. Cook. A scholar is included among the top collaborators of Stuart A. Cook 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 Stuart A. Cook. Stuart A. Cook 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.
Sweeney, Mark, Michael S. Lee, Henrike Maatz, et al.. (2024). Interleukin 11 therapy causes acute left ventricular dysfunction. Cardiovascular Research. 120(17). 2220–2235. 1 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.
Cook, Stuart A.. (2023). Understanding interleukin 11 as a disease gene and therapeutic target. Biochemical Journal. 480(23). 1987–2008. 30 indexed citations
4.
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
5.
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
6.
Ng, Benjamin, Sivakumar Viswanathan, Anissa A. Widjaja, et al.. (2022). IL11 Activates Pancreatic Stellate Cells and Causes Pancreatic Inflammation, Fibrosis and Atrophy in a Mouse Model of Pancreatitis. International Journal of Molecular Sciences. 23(7). 3549–3549. 19 indexed citations
7.
Dong, Jinrui, Wei‐Wen Lim, Shamini G. Shekeran, et al.. (2022). Hepatocyte Specific gp130 Signalling Underlies APAP Induced Liver Injury. International Journal of Molecular Sciences. 23(13). 7089–7089. 5 indexed citations
8.
Zhou, Jin, Madhulika Tripathi, Jia Pei Ho, et al.. (2022). Spermidine-mediated hypusination of translation factor EIF5A improves mitochondrial fatty acid oxidation and prevents non-alcoholic steatohepatitis progression. Nature Communications. 13(1). 5202–5202. 55 indexed citations
9.
Widjaja, Anissa A., Sivakumar Viswanathan, Shamini G. Shekeran, et al.. (2022). Targeting endogenous kidney regeneration using anti-IL11 therapy in acute and chronic models of kidney disease. Nature Communications. 13(1). 7497–7497. 41 indexed citations
10.
Lim, Wei‐Wen, Ben Corden, Lei Ye, et al.. (2021). Antibody‐mediated neutralization of IL11 signalling reduces ERK activation and cardiac fibrosis in a mouse model of severe pressure overload. Clinical and Experimental Pharmacology and Physiology. 48(4). 605–613. 11 indexed citations
11.
Patel, Parth, Kaoru Ito, Jon A. L. Willcox, et al.. (2021). Contribution of Noncanonical Splice Variants to TTN Truncating Variant Cardiomyopathy. Circulation Genomic and Precision Medicine. 14(5). e003389–e003389. 15 indexed citations
12.
Dong, Jinrui, Sivakumar Viswanathan, Eleonora Adami, et al.. (2021). The pro-regenerative effects of hyperIL6 in drug-induced liver injury are unexpectedly due to competitive inhibition of IL11 signaling. eLife. 10. 10 indexed citations
13.
Adami, Eleonora, Sivakumar Viswanathan, Anissa A. Widjaja, et al.. (2021). IL11 is elevated in systemic sclerosis and IL11-dependent ERK signalling underlies TGFβ-mediated activation of dermal fibroblasts. Lara D. Veeken. 60(12). 5820–5826. 42 indexed citations
14.
Widjaja, Anissa A., Sonia Chothani, & Stuart A. Cook. (2020). Different roles of interleukin 6 and interleukin 11 in the liver: implications for therapy. Human Vaccines & Immunotherapeutics. 16(10). 2357–2362. 33 indexed citations
15.
Meyer, Hannah V., Timothy J. W. Dawes, Marta Serrani, et al.. (2020). Genetic and functional insights into the fractal structure of the heart. Nature. 584(7822). 589–594. 78 indexed citations
16.
Lim, Wei‐Wen, Benjamin Ng, Anissa A. Widjaja, et al.. (2020). Transgenic interleukin 11 expression causes cross-tissue fibro-inflammation and an inflammatory bowel phenotype in mice. PLoS ONE. 15(1). e0227505–e0227505. 53 indexed citations
17.
Bylstra, Yasmin, Sonia Dávila, Weng Khong Lim, et al.. (2019). Implementation of genomics in medical practice to deliver precision medicine for an Asian population. npj Genomic Medicine. 4(1). 12–12. 12 indexed citations
18.
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
19.
Lota, Amrit, Brian P. Halliday, Upasana Tayal, et al.. (2019). Abstract 11463: Epidemiological Trends and Outcomes of Acute Myocarditis in the National Health Service of England. Circulation. 2 indexed citations
20.
Oktay, Ozan, Enzo Ferrante, Konstantinos Kamnitsas, et al.. (2017). Anatomically Constrained Neural Networks (ACNNs): Application to Cardiac Image Enhancement and Segmentation. IEEE Transactions on Medical Imaging. 37(2). 384–395. 438 indexed citations breakdown →

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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