Helen Maddock

1.1k total citations
53 papers, 790 citations indexed

About

Helen Maddock is a scholar working on Cardiology and Cardiovascular Medicine, Pathology and Forensic Medicine and Molecular Biology. According to data from OpenAlex, Helen Maddock has authored 53 papers receiving a total of 790 indexed citations (citations by other indexed papers that have themselves been cited), including 30 papers in Cardiology and Cardiovascular Medicine, 18 papers in Pathology and Forensic Medicine and 14 papers in Molecular Biology. Recurrent topics in Helen Maddock's work include Cardiac Ischemia and Reperfusion (17 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Chemotherapy-induced cardiotoxicity and mitigation (11 papers). Helen Maddock is often cited by papers focused on Cardiac Ischemia and Reperfusion (17 papers), Cardiac electrophysiology and arrhythmias (12 papers) and Chemotherapy-induced cardiotoxicity and mitigation (11 papers). Helen Maddock collaborates with scholars based in United Kingdom, France and South Africa. Helen Maddock's co-authors include Derek M. Yellon, Afthab Hussain, Mihaela Mocanu, Omar Janneh, Kenneth J. Broadley, Gary F. Baxter, Nicholas B. Standen, Nassirah Khandoudi, Antoine Bril and Rob Wallis and has published in prestigious journals such as Circulation, PLoS ONE and Scientific Reports.

In The Last Decade

Helen Maddock

47 papers receiving 775 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Helen Maddock United Kingdom 15 291 287 252 121 115 53 790
Masakatsu Wakeno Japan 13 409 1.4× 436 1.5× 219 0.9× 77 0.6× 101 0.9× 13 1.0k
Sophie Tamareille France 15 220 0.8× 302 1.1× 310 1.2× 31 0.3× 120 1.0× 20 694
Glenn J. Smits United States 15 213 0.7× 192 0.7× 143 0.6× 194 1.6× 87 0.8× 25 725
Andre Terzic United States 10 251 0.9× 270 0.9× 255 1.0× 29 0.2× 98 0.9× 12 754
W. Keith Jones United States 15 396 1.4× 622 2.2× 291 1.2× 48 0.4× 114 1.0× 21 1.1k
Carmen Methner United Kingdom 15 232 0.8× 573 2.0× 280 1.1× 37 0.3× 109 0.9× 28 1.1k
Stephen Ely United States 16 421 1.4× 150 0.5× 376 1.5× 156 1.3× 182 1.6× 29 925
J. Craig Hartman United States 15 364 1.3× 146 0.5× 323 1.3× 41 0.3× 170 1.5× 30 899
Natsuya Keira Japan 15 394 1.4× 288 1.0× 233 0.9× 17 0.1× 76 0.7× 66 917
Vishnu Undyala United States 11 113 0.4× 245 0.9× 216 0.9× 46 0.4× 75 0.7× 15 669

Countries citing papers authored by Helen Maddock

Since Specialization
Citations

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

Fields of papers citing papers by Helen Maddock

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Helen Maddock. 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 Helen Maddock. The network helps show where Helen Maddock may publish in the future.

Co-authorship network of co-authors of Helen Maddock

This figure shows the co-authorship network connecting the top 25 collaborators of Helen Maddock. A scholar is included among the top collaborators of Helen Maddock 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 Helen Maddock. Helen Maddock 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.
Okwose, Nduka C., et al.. (2024). Relationship between heart rate variability and echocardiography indices of cardiac function in healthy individuals. Clinical Physiology and Functional Imaging. 45(1). e12910–e12910.
2.
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Okwose, Nduka C., et al.. (2024). COVID‐19 is associated with cardiac structural and functional remodelling in healthy middle‐aged and older individuals. Clinical Physiology and Functional Imaging. 45(1). e12909–e12909.
4.
5.
Turner, Mark C., et al.. (2023). Development of a novel low-order model for atrial function and a study of atrial mechano-electric feedback. Computers in Biology and Medicine. 159. 106697–106697. 1 indexed citations
6.
Maddock, Helen, et al.. (2021). Understanding the future research needs in Postural Orthostatic Tachycardia Syndrome (POTS): Evidence mapping the POTS adult literature. Autonomic Neuroscience. 233. 102808–102808. 8 indexed citations
7.
Maddock, Helen, et al.. (2021). Anti-cancer Therapy Leads to Increased Cardiovascular Susceptibility to COVID-19. Frontiers in Cardiovascular Medicine. 8. 634291–634291. 5 indexed citations
8.
Maddock, Helen, et al.. (2020). The cardiac work-loop technique: An in vitro model for identifying and profiling drug-induced changes in inotropy using rat papillary muscles. Scientific Reports. 10(1). 5258–5258. 7 indexed citations
9.
10.
Davidson, Sean M., Sapna Arjun, Marina Basalay, et al.. (2018). The 10th Biennial Hatter Cardiovascular Institute workshop: cellular protection—evaluating new directions in the setting of myocardial infarction, ischaemic stroke, and cardio-oncology. Basic Research in Cardiology. 113(6). 43–43. 72 indexed citations
11.
Hussain, Afthab, et al.. (2017). Involvement of mitogen activated kinase kinase 7 intracellular signalling pathway in Sunitinib-induced cardiotoxicity. Toxicology. 394. 72–83. 15 indexed citations
12.
Hussain, Afthab, et al.. (2017). Attenuation of Sunitinib-induced cardiotoxicity through the A3 adenosine receptor activation. European Journal of Pharmacology. 814. 95–105. 20 indexed citations
13.
Wallis, Rob, et al.. (2015). Predictivity of in vitro non-clinical cardiac contractility assays for inotropic effects in humans — A literature search. Journal of Pharmacological and Toxicological Methods. 75. 62–69. 18 indexed citations
14.
Hussain, Afthab, et al.. (2013). Caspase Inhibition Via A3 Adenosine Receptors: A New Cardioprotective Mechanism Against Myocardial Infarction. Cardiovascular Drugs and Therapy. 28(1). 19–32. 26 indexed citations
15.
Hussain, Afthab, et al.. (2012). Doxorubicin induced myocardial injury is exacerbated following ischaemic stress via opening of the mitochondrial permeability transition pore. Toxicology and Applied Pharmacology. 268(2). 149–156. 49 indexed citations
16.
Hussain, Afthab, et al.. (2009). The role of nitric oxide in A3 adenosine receptor‐mediated cardioprotection. Autonomic and Autacoid Pharmacology. 29(3). 97–104. 5 indexed citations
17.
Hussain, Afthab, et al.. (2006). Abstract 78: Activation of A3 Adenosine Receptors Protects the Ischemic Reperfused Myocardium Via Recruitment of PI3K-AKT- iNOS Cell Survival Pathway. Circulation. 114. 3 indexed citations
18.
Maddock, Helen, et al.. (2004). Myocardial Protection from Either Ischaemic Preconditioning or Nicorandil Is Not Blocked by Gliclazide. Cardiovascular Drugs and Therapy. 18(2). 113–119. 36 indexed citations
19.
Broadley, Kenneth J. & Helen Maddock. (1996). P1‐purinoceptor‐mediated vasodilatation and vasoconstriction in hypoxia. Journal of Autonomic Pharmacology. 16(6). 363–366. 18 indexed citations
20.
Jenkins, Brendan J., et al.. (1995). Non-invasive estimation of venous admixture: validation of a new formula. British Journal of Anaesthesia. 74(5). 538–543. 13 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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