Marie‐Louise Ward

738 total citations
44 papers, 565 citations indexed

About

Marie‐Louise Ward is a scholar working on Cardiology and Cardiovascular Medicine, Molecular Biology and Cellular and Molecular Neuroscience. According to data from OpenAlex, Marie‐Louise Ward has authored 44 papers receiving a total of 565 indexed citations (citations by other indexed papers that have themselves been cited), including 38 papers in Cardiology and Cardiovascular Medicine, 24 papers in Molecular Biology and 8 papers in Cellular and Molecular Neuroscience. Recurrent topics in Marie‐Louise Ward's work include Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (19 papers) and Cardiovascular Function and Risk Factors (17 papers). Marie‐Louise Ward is often cited by papers focused on Cardiac electrophysiology and arrhythmias (23 papers), Ion channel regulation and function (19 papers) and Cardiovascular Function and Risk Factors (17 papers). Marie‐Louise Ward collaborates with scholars based in New Zealand, United Kingdom and Russia. Marie‐Louise Ward's co-authors include Mark B. Cannell, Denis S. Loiselle, David J. Crossman, Iwan A. Williams, Patricia J. Cooper, David G. Allen, Yi Chu, Xin Shen, Yue‐Kun Ju and Garth J. S. Cooper and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and The Journal of Physiology.

In The Last Decade

Marie‐Louise Ward

42 papers receiving 561 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie‐Louise Ward New Zealand 15 388 264 63 54 37 44 565
Paulina Wakula Austria 15 409 1.1× 450 1.7× 55 0.9× 43 0.8× 77 2.1× 19 788
Mitch Chernin United States 6 412 1.1× 243 0.9× 28 0.4× 54 1.0× 43 1.2× 6 575
Kristina B. Kooiker United States 13 410 1.1× 357 1.4× 36 0.6× 57 1.1× 57 1.5× 20 638
Gentaro Iribe Japan 14 567 1.5× 337 1.3× 140 2.2× 62 1.1× 64 1.7× 52 793
Patrick Lugenbiel Germany 15 558 1.4× 351 1.3× 87 1.4× 30 0.6× 43 1.2× 56 761
L.M.D. Delbridge Australia 12 274 0.7× 294 1.1× 114 1.8× 68 1.3× 37 1.0× 20 540
Marit Wiersma Netherlands 13 244 0.6× 336 1.3× 47 0.7× 92 1.7× 25 0.7× 17 686
Marco Abeßer Germany 12 328 0.8× 305 1.2× 62 1.0× 62 1.1× 33 0.9× 16 593
Michèle Heimburger France 10 436 1.1× 261 1.0× 40 0.6× 42 0.8× 37 1.0× 23 646
Sophie Schobesberger United Kingdom 10 308 0.8× 352 1.3× 83 1.3× 29 0.5× 30 0.8× 16 508

Countries citing papers authored by Marie‐Louise Ward

Since Specialization
Citations

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

Fields of papers citing papers by Marie‐Louise Ward

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie‐Louise Ward. 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 Marie‐Louise Ward. The network helps show where Marie‐Louise Ward may publish in the future.

Co-authorship network of co-authors of Marie‐Louise Ward

This figure shows the co-authorship network connecting the top 25 collaborators of Marie‐Louise Ward. A scholar is included among the top collaborators of Marie‐Louise Ward 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 Marie‐Louise Ward. Marie‐Louise Ward 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.
Burns, Kathryn, et al.. (2025). Acute exposure to clozapine and sodium valproate impairs oxidative phosphorylation in human cardiac mitochondria. Toxicology Reports. 14. 101990–101990. 2 indexed citations
2.
Ward, Marie‐Louise, et al.. (2024). The Monocrotaline Rat Model of Right Heart Disease Induced by Pulmonary Artery Hypertension. Biomedicines. 12(9). 1944–1944. 4 indexed citations
3.
Han, June‐Chiew, et al.. (2024). Maximum Shortening Velocity and Power Are Reduced in a Human Cross-bridge Model of Type 2 Diabetes. Computing in cardiology. 51.
4.
Han, June‐Chiew, et al.. (2024). Analysis of metabolite and strain effects on cardiac cross-bridge dynamics using model linearisation techniques. Frontiers in Physiology. 14. 1323605–1323605. 1 indexed citations
5.
Ward, Marie‐Louise, et al.. (2024). Measurement of Intracellular Ca2+ in Muscle Isolated from Rat and Human Hearts. Methods in molecular biology. 2894. 69–87. 1 indexed citations
6.
Kang, Nicholas, et al.. (2023). Impaired calcium handling mechanisms in atrial trabeculae of diabetic patients. Physiological Reports. 11(3). e15599–e15599. 8 indexed citations
7.
8.
Han, June‐Chiew, et al.. (2023). Measuring and Modelling the Effect of Inorganic Phosphate on Cross-bridge Mechanics in Human Cardiac Muscle. PubMed. 2023. 1–4. 2 indexed citations
9.
Han, June‐Chiew, et al.. (2022). Uncovering cross-bridge properties that underlie the cardiac active complex modulus using model linearisation techniques. Mathematical Biosciences. 353. 108922–108922. 2 indexed citations
10.
Ward, Marie‐Louise, et al.. (2021). CA2+ Handling in Non-Failing Hypertrophic Cardiomyocytes Subjected to Inotropic Interventions. Biophysical Journal. 120(3). 110a–111a. 1 indexed citations
11.
Shen, Xin, et al.. (2020). Stretch modulation of cardiac contractility: importance of myocyte calcium during the slow force response. Biophysical Reviews. 12(1). 135–142. 12 indexed citations
12.
Pham, Toan, Kenneth Tran, Denis S. Loiselle, et al.. (2020). Disruption of transverse‐tubular network reduces energy efficiency in cardiac muscle contraction. Acta Physiologica. 231(2). e13545–e13545. 2 indexed citations
13.
Tran, Kenneth, Denis S. Loiselle, Poul M. F. Nielsen, et al.. (2019). The slow force response to stretch: Controversy and contradictions. Acta Physiologica. 226(1). e13250–e13250. 14 indexed citations
14.
15.
Hickey, Anthony J., et al.. (2018). Calcium mishandling impairs contraction in right ventricular hypertrophy prior to overt heart failure. Pflügers Archiv - European Journal of Physiology. 470(7). 1115–1126. 16 indexed citations
16.
McGlashan, Sue R., et al.. (2018). Evidence of primary cilia in the developing rat heart. SHILAP Revista de lepidopterología. 7(1). 4–4. 19 indexed citations
17.
Pham, Toan, Kenneth Tran, Kimberley M. Mellor, et al.. (2017). Does the intercept of the heat–stress relation provide an accurate estimate of cardiac activation heat?. The Journal of Physiology. 595(14). 4725–4733. 18 indexed citations
18.
Ward, Marie‐Louise, David J. Crossman, Denis S. Loiselle, & Mark B. Cannell. (2010). Non-steady-state calcium handling in failing hearts from the spontaneously hypertensive rat. Pflügers Archiv - European Journal of Physiology. 460(6). 991–1001. 12 indexed citations
19.
Guild, Sarah‐Jane, et al.. (2003). Extracellular Ca2+ is obligatory for ouabain‐induced potentiation of cardiac basal energy expenditure. Clinical and Experimental Pharmacology and Physiology. 30(1-2). 103–109. 3 indexed citations
20.
Ward, Marie‐Louise, Patricia J. Cooper, Peter J. Hanley, & Denis S. Loiselle. (2003). SPECIES‐INDEPENDENT METABOLIC RESPONSE TO AN INCREASE OF [Ca2+]i IN QUIESCENT CARDIAC MUSCLE. Clinical and Experimental Pharmacology and Physiology. 30(8). 586–589. 3 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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