Luke J. Haseler

4.2k total citations
91 papers, 3.3k citations indexed

About

Luke J. Haseler is a scholar working on Cardiology and Cardiovascular Medicine, Complementary and alternative medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Luke J. Haseler has authored 91 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Cardiology and Cardiovascular Medicine, 36 papers in Complementary and alternative medicine and 27 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Luke J. Haseler's work include Cardiovascular and exercise physiology (36 papers), Advanced MRI Techniques and Applications (22 papers) and Cardiovascular Function and Risk Factors (16 papers). Luke J. Haseler is often cited by papers focused on Cardiovascular and exercise physiology (36 papers), Advanced MRI Techniques and Applications (22 papers) and Cardiovascular Function and Risk Factors (16 papers). Luke J. Haseler collaborates with scholars based in Australia, United States and Austria. Luke J. Haseler's co-authors include Russell S. Richardson, Michael C. Hogan, R. S. Richardson, Lawrence R. Frank, Peter D. Wagner, Timothy P. Gavin, Wilmer L. Sibbitt, Surendran Sabapathy, Kuldeep Tagore and Stefan Blüml and has published in prestigious journals such as PLoS ONE, The Journal of Physiology and American Journal of Respiratory and Critical Care Medicine.

In The Last Decade

Luke J. Haseler

87 papers receiving 3.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Luke J. Haseler Australia 32 1.4k 1.0k 659 650 470 91 3.3k
Jukka Kemppainen Finland 37 652 0.5× 913 0.9× 1.0k 1.5× 325 0.5× 633 1.3× 115 3.6k
C. Marconi Italy 27 1.0k 0.7× 811 0.8× 133 0.2× 404 0.6× 336 0.7× 63 2.2k
Gwenaël Layec United States 29 1.0k 0.7× 717 0.7× 282 0.4× 476 0.7× 220 0.5× 90 2.1k
Thomas Seifert‐Held Austria 37 323 0.2× 902 0.9× 798 1.2× 192 0.3× 324 0.7× 90 3.9k
Niels Vidiendal Olsen Denmark 38 298 0.2× 516 0.5× 237 0.4× 369 0.6× 576 1.2× 170 4.3k
J. R. Sutton Canada 26 1.1k 0.8× 914 0.9× 90 0.1× 1.2k 1.8× 247 0.5× 44 3.4k
Barry M. Prior United States 24 528 0.4× 434 0.4× 195 0.3× 1.1k 1.6× 96 0.2× 41 2.7k
Stéphane Doutreleau France 25 1.0k 0.7× 961 0.9× 60 0.1× 443 0.7× 428 0.9× 104 2.6k
Krista Vandenborne United States 48 467 0.3× 793 0.8× 536 0.8× 758 1.2× 112 0.2× 158 6.1k
Steffen Ringgaard Denmark 38 182 0.1× 1.2k 1.2× 1.2k 1.7× 303 0.5× 790 1.7× 186 4.6k

Countries citing papers authored by Luke J. Haseler

Since Specialization
Citations

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

Fields of papers citing papers by Luke J. Haseler

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Luke J. Haseler. 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 Luke J. Haseler. The network helps show where Luke J. Haseler may publish in the future.

Co-authorship network of co-authors of Luke J. Haseler

This figure shows the co-authorship network connecting the top 25 collaborators of Luke J. Haseler. A scholar is included among the top collaborators of Luke J. Haseler 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 Luke J. Haseler. Luke J. Haseler 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.
Vider, Jelena, Ali Zaid, Jason N. Peart, et al.. (2024). Swimming induces physiological cardioprotection associated with pro-growth versus anti-inflammatory influences in extracardiac organs. American Journal of Physiology-Regulatory, Integrative and Comparative Physiology. 328(2). R206–R219. 1 indexed citations
2.
McNamara, Robert M., James Anstey, Daniel M Fatovich, et al.. (2022). Development of Traumatic Brain Injury Associated Intracranial Hypertension Prediction Algorithms: A Narrative Review. Journal of Neurotrauma. 40(5-6). 416–434. 11 indexed citations
3.
Kiani, Adnan N., et al.. (2022). Enhanced arthrocentesis of the effusive knee with pneumatic compression. International Journal of Rheumatic Diseases. 25(3). 303–310. 2 indexed citations
4.
McElwee, Matthew K., et al.. (2022). Intraarticular injection of the interphalangeal joint for therapy of digital mucoid cysts. Rheumatology International. 42(5). 861–868. 2 indexed citations
5.
Liew, Alan Wee‐Chung, Brent Richards, Kuldeep Kumar, et al.. (2022). Ectopic Heartbeat Detection from ECG Signals using Deep Convolutional Neural Networks. 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM). 3535–3540.
6.
McNamara, Robert M., James Anstey, Daniel M Fatovich, et al.. (2022). The Monitoring with Advanced Sensors, Transmission and E-Resuscitation in Traumatic Brain Injury (MASTER-TBI) collaborative: bringing data science to the ICU bedside. Critical Care and Resuscitation. 24(1). 39–42. 5 indexed citations
7.
Balmain, Bryce N., Surendran Sabapathy, Akira Yamada, et al.. (2020). Cardiac perturbations after high-intensity exercise are attenuated in middle-aged compared with young endurance athletes: diminished stress or depleted stimuli?. American Journal of Physiology-Heart and Circulatory Physiology. 320(1). H159–H168. 4 indexed citations
8.
Zhang, Ping, et al.. (2020). Utilizing heart rate variability to predict ICU patient outcome in traumatic brain injury. BMC Bioinformatics. 21(S17). 481–481. 7 indexed citations
9.
Stewart, Glenn M., Jonathan Chan, Garvan C. Kane, et al.. (2020). Marked Disparity in Regional and Transmural Cardiac Mechanics in the Athlete’s Heart. Medicine & Science in Sports & Exercise. 52(9). 1908–1914. 2 indexed citations
10.
Sibbitt, Wilmer L., et al.. (2019). Extractable synovial fluid in inflammatory and non-inflammatory arthritis of the knee. Clinical Rheumatology. 38(8). 2255–2263. 6 indexed citations
11.
Chan, Jonathan, D. Burstow, Christian Hamilton‐Craig, et al.. (2014). The impact of myocardial ischemia on transmural mechanics using multi-layer speckle tracking echocardiography. Queensland's institutional digital repository (The University of Queensland). 3 indexed citations
12.
Neubauer, Oliver, Surendran Sabapathy, Kevin J. Ashton, et al.. (2014). Time course-dependent changes in the transcriptome of human skeletal muscle during recovery from endurance exercise: from inflammation to adaptive remodeling. Griffith Research Online (Griffith University, Queensland, Australia). 61 indexed citations
13.
Layec, Gwenaël, Luke J. Haseler, & Russell S. Richardson. (2012). Reduced muscle oxidative capacity is independent of O2 availability in elderly people. AGE. 35(4). 1183–1192. 27 indexed citations
14.
Morris, Norman, Eric M. Snyder, Kenneth C. Beck, et al.. (2007). The Relationship Between Resting Lung-to-Lung Circulation Time and Peak Exercise Capacity in Chronic Heart Failure Patients. Journal of Cardiac Failure. 13(5). 389–394. 5 indexed citations
15.
Haseler, Luke J. & Russell S. Richardson. (2006). Point: In health and in a normoxic environment, VO2 max is limited primarily by cardiac output and locomotor muscle blood flow. Journal of Applied Physiology. 100(3). 744–748. 7 indexed citations
16.
Richardson, Russell S., Bryan T. Leek, Timothy P. Gavin, et al.. (2003). Reduced Mechanical Efficiency in Chronic Obstructive Pulmonary Disease but Normal Peak V o 2 with Small Muscle Mass Exercise. American Journal of Respiratory and Critical Care Medicine. 169(1). 89–96. 145 indexed citations
17.
Hiller, W. Douglas B., et al.. (2003). C-REACTIVE PROTEIN LEVELS BEFORE AND AFTER ULTRA ENDURANCE EXERCISE. Medicine & Science in Sports & Exercise. 35(Supplement 1). S121–S121. 1 indexed citations
18.
Haseler, Luke J., Wilmer L. Sibbitt, Randy R. Sibbitt, & Blaine L. Hart. (1998). Neurologic, MR imaging, and MR spectroscopic findings in eosinophilia myalgia syndrome.. American Journal of Neuroradiology. 19(9). 1687–94. 5 indexed citations
19.
Haseler, Luke J. & Michael C. Hogan. (1998). HUMAN MUSCLE PERFORMANCE AND PCr DEPLETION WITH VARIED INSPIRED OXYGEN FRACTIONS: A 31P-MRS STUDY. Medicine & Science in Sports & Exercise. 30(Supplement). 70–70. 2 indexed citations
20.
Haseler, Luke J., et al.. (1986). Use of inversion spin transfer to monitor creatine kinase kinetics in rat skeletal muscle in vivo.. PubMed. 12(4). 613–8. 4 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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