Gemma A. Figtree

14.0k total citations · 5 hit papers
282 papers, 7.6k citations indexed

About

Gemma A. Figtree is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Molecular Biology. According to data from OpenAlex, Gemma A. Figtree has authored 282 papers receiving a total of 7.6k indexed citations (citations by other indexed papers that have themselves been cited), including 160 papers in Cardiology and Cardiovascular Medicine, 73 papers in Surgery and 61 papers in Molecular Biology. Recurrent topics in Gemma A. Figtree's work include Cardiac Imaging and Diagnostics (51 papers), Acute Myocardial Infarction Research (40 papers) and Nitric Oxide and Endothelin Effects (31 papers). Gemma A. Figtree is often cited by papers focused on Cardiac Imaging and Diagnostics (51 papers), Acute Myocardial Infarction Research (40 papers) and Nitric Oxide and Endothelin Effects (31 papers). Gemma A. Figtree collaborates with scholars based in Australia, United States and United Kingdom. Gemma A. Figtree's co-authors include Chia‐Chi Liu, Keyvan Karimi Galougahi, Edwin Ho, Stephen T. Vernon, Stuart M. Grieve, H Rasmussen, Elisha J. Hamilton, Alvaro Garcia, Ravinay Bhindi and Carolyn Webb and has published in prestigious journals such as The Lancet, Journal of Biological Chemistry and Circulation.

In The Last Decade

Gemma A. Figtree

263 papers receiving 7.5k citations

Hit Papers

The Lancet women and card... 2013 2026 2017 2021 2021 2015 2013 2018 2021 250 500 750
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.

  1. The Lancet women and cardiovascular disease Commission: reducing the global burden by 2030
    2021 762 citations Birgit Vogel, Gemma A. Figtree et al. profile →
  2. Current State of knowledge on Takotsubo Syndrome: A Position Statement from the Taskforce on Takotsubo Syndrome of the Heart Failure Association of the European Society of Cardiology
    2015 723 citations Gemma A. Figtree et al. European Journal of Heart Failure profile →
  3. Biological markers of oxidative stress: Applications to cardiovascular research and practice
    2013 624 citations Keyvan Karimi Galougahi, Gemma A. Figtree et al. profile →
  4. Canagliflozin and Heart Failure in Type 2 Diabetes Mellitus
    2018 368 citations Gemma A. Figtree et al. profile →
  5. Mortality in STEMI patients without standard modifiable risk factors: a sex-disaggregated analysis of SWEDEHEART registry data
    2021 179 citations Gemma A. Figtree, Stephen T. Vernon et al. profile →

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Gemma A. Figtree 3.3k 1.8k 1.5k 1.1k 1.0k 282 7.6k
Christian Delles 3.1k 0.9× 2.0k 1.1× 1.1k 0.7× 1.4k 1.2× 416 0.4× 283 8.5k
Tanja Zeller 4.0k 1.2× 2.7k 1.5× 1.4k 0.9× 707 0.6× 1.2k 1.1× 351 9.8k
Satoshi Miyata 2.3k 0.7× 1.8k 1.0× 1.4k 0.9× 1.0k 0.9× 870 0.8× 255 8.9k
Sungha Park 4.0k 1.2× 1.1k 0.6× 1.8k 1.1× 1.1k 1.0× 658 0.6× 451 9.3k
Gerasimos Siasos 3.0k 0.9× 1.9k 1.1× 1.6k 1.0× 925 0.8× 621 0.6× 414 8.1k
Gary Tse 5.4k 1.6× 2.5k 1.4× 1.3k 0.9× 1.2k 1.1× 640 0.6× 573 10.4k
Tong Liu 5.9k 1.8× 3.1k 1.7× 1.8k 1.2× 1.3k 1.1× 1.4k 1.3× 722 14.0k
Jaw‐Wen Chen 2.8k 0.9× 3.1k 1.7× 1.6k 1.1× 993 0.9× 469 0.5× 291 9.4k
Yves Cottin 4.3k 1.3× 1.7k 1.0× 1.5k 1.0× 718 0.6× 1.7k 1.6× 388 9.9k
Markus van der Giet 2.4k 0.7× 2.3k 1.3× 1.8k 1.2× 1.3k 1.2× 368 0.4× 253 9.6k

Countries citing papers authored by Gemma A. Figtree

Since Specialization
Citations

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

Fields of papers citing papers by Gemma A. Figtree

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Gemma A. Figtree

This figure shows the co-authorship network connecting the top 25 collaborators of Gemma A. Figtree. A scholar is included among the top collaborators of Gemma A. Figtree 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 Gemma A. Figtree. Gemma A. Figtree 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
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Playford, E. Geoffrey, Simon Stewart, Gerard F. Hoyne, et al.. (2024). Comparing predictive risk to actual presence of coronary atherosclerosis on coronary computed tomography angiography. SHILAP Revista de lepidopterología. 49. 100493–100493.
3.
Figtree, Gemma A., et al.. (2024). The national Cardiovascular Health Leadership Research Forum: a new data‐driven model placing research at the centre of improving patient outcomes. The Medical Journal of Australia. 221(9). 452–456. 1 indexed citations
4.
Dakic, Aleksandar, Jing Wu, Tingting Wang, et al.. (2024). Imputation of plasma lipid species to facilitate integration of lipidomic datasets. Nature Communications. 15(1). 1540–1540. 1 indexed citations
5.
Lu, Juan, Arnaud Bisson, Mohammed Bennamoun, et al.. (2024). Predicting multifaceted risks using machine learning in atrial fibrillation: insights from GLORIA-AF study. European Heart Journal - Digital Health. 5(3). 235–246. 6 indexed citations
6.
Gray, Michael P., Birgit Vogel, Roxana Mehran, Jane A. Leopold, & Gemma A. Figtree. (2024). Primary prevention of cardiovascular disease in women. Climacteric. 27(1). 104–112. 1 indexed citations
7.
Figtree, Gemma A., Michael P. Feneley, Stuart M. Grieve, et al.. (2024). Correlation of Noninvasive Cardiac MRI Measures of Left Ventricular Myocardial Function and Invasive Pressure-Volume Parameters in a Porcine Ischemia-Reperfusion Model. Radiology Cardiothoracic Imaging. 6(3). e230252–e230252. 1 indexed citations
8.
Kavurma, Mary M., Carina Cutmore, Freda Passam, et al.. (2023). A hidden problem: peripheral artery disease in women. European Heart Journal - Quality of Care and Clinical Outcomes. 9(4). 342–350. 22 indexed citations
9.
Kovoor, Joshua G., Karen Byth, Clara K Chow, et al.. (2023). Influence of standard modifiable risk factors on ventricular tachycardia after myocardial infarction. Frontiers in Cardiovascular Medicine. 10. 1283382–1283382. 1 indexed citations
10.
11.
Besnier, Marie, Owen Tang, Katharine A. Kott, et al.. (2023). High-Throughput Measure of Mitochondrial Superoxide Levels as a Marker of Coronary Artery Disease to Accelerate Drug Translation in Patient-Derived Endothelial Cells Using Opera Phenix® Technology. International Journal of Molecular Sciences. 25(1). 22–22. 4 indexed citations
12.
Ihdayhid, Abdul Rahman, N. Lan, Faraz Pathan, et al.. (2023). Artificial Intelligence in Cardiology: An Australian Perspective. Heart Lung and Circulation. 32(8). 894–904. 12 indexed citations
13.
Chin, Yip Han, Chaoxing Lin, Gwyneth Kong, et al.. (2022). Meta-analysis of the Placebo and Nocebo effects associated with Placebo treatment in randomized trials of lipid-lowering therapies. European Heart Journal - Quality of Care and Clinical Outcomes. 9(5). 511–519. 16 indexed citations
14.
Kim, Tai-Yun, Owen Tang, Stephen T. Vernon, et al.. (2021). A hierarchical approach to removal of unwanted variation for large-scale metabolomics data. Nature Communications. 12(1). 4992–4992. 28 indexed citations
15.
Vernon, Stephen T., Owen Tang, Tai-Yun Kim, et al.. (2021). Metabolic Signatures in Coronary Artery Disease: Results from the BioHEART-CT Study. Cells. 10(5). 980–980. 17 indexed citations
16.
Bonnitcha, Paul, Stuart M. Grieve, & Gemma A. Figtree. (2018). Clinical imaging of hypoxia: Current status and future directions. Free Radical Biology and Medicine. 126. 296–312. 34 indexed citations
17.
Broadhouse, Kathryn M., et al.. (2017). 4D flow magnetic resonance imaging: role in pediatric congenital heart disease. Asian Cardiovascular and Thoracic Annals. 26(1). 28–37. 31 indexed citations
18.
O’Neill, Edward, Amandeep Kaur, David Bishop, et al.. (2017). Hypoxia-Responsive Cobalt Complexes in Tumor Spheroids: Laser Ablation Inductively Coupled Plasma Mass Spectrometry and Magnetic Resonance Imaging Studies. Inorganic Chemistry. 56(16). 9860–9868. 31 indexed citations
19.
Figtree, Gemma A., Richard D. Bagnall, Stefan Buchholz, et al.. (2013). No Association of G-Protein-Coupled Receptor Kinase 5 or β-Adrenergic Receptor Polymorphisms with Takotsubo Cardiomyopathy in a Large Australian Cohort. European Journal of Heart Failure. 15(7). 730–733. 42 indexed citations
20.
Rasmussen, H & Gemma A. Figtree. (2007). “Don’t flog the heart!” — development of specific drug therapies for heart failure. Critical Care and Resuscitation. 9(4). 364–369. 6 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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