Stephen Dubsky

962 total citations
39 papers, 754 citations indexed

About

Stephen Dubsky is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Stephen Dubsky has authored 39 papers receiving a total of 754 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Pulmonary and Respiratory Medicine, 15 papers in Radiation and 15 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Stephen Dubsky's work include Atomic and Subatomic Physics Research (10 papers), Advanced X-ray Imaging Techniques (10 papers) and Nuclear Physics and Applications (9 papers). Stephen Dubsky is often cited by papers focused on Atomic and Subatomic Physics Research (10 papers), Advanced X-ray Imaging Techniques (10 papers) and Nuclear Physics and Applications (9 papers). Stephen Dubsky collaborates with scholars based in Australia, United States and Japan. Stephen Dubsky's co-authors include Andreas Fouras, Karen K. W. Siu, Stuart B. Hooper, Kerry Hourigan, Marcus J. Kitchen, Graeme R. Zosky, Sarah C. Irvine, R. A. Lewis, Megan J. Wallace and Chaminda R. Samarage and has published in prestigious journals such as Applied Physics Letters, PLoS ONE and Journal of Applied Physics.

In The Last Decade

Stephen Dubsky

36 papers receiving 739 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Stephen Dubsky Australia 16 291 265 195 135 126 39 754
S.V. Tipnis United States 17 193 0.7× 432 1.6× 523 2.7× 361 2.7× 83 0.7× 58 1.1k
S. Mascarenhas Brazil 17 73 0.3× 103 0.4× 185 0.9× 221 1.6× 54 0.4× 67 976
Liisa Porra Finland 15 314 1.1× 227 0.9× 236 1.2× 187 1.4× 143 1.1× 39 703
Chris Hall Australia 13 252 0.9× 181 0.7× 116 0.6× 70 0.5× 26 0.2× 41 587
Sam Bayat France 21 564 1.9× 282 1.1× 287 1.5× 258 1.9× 166 1.3× 112 1.3k
Adrienne Campbell‐Washburn United States 23 111 0.4× 51 0.2× 1.0k 5.1× 209 1.5× 311 2.5× 96 1.3k
C. C. Chamberlain United States 15 177 0.6× 191 0.7× 202 1.0× 148 1.1× 114 0.9× 30 643
Andre Yaroshenko Germany 18 63 0.2× 775 2.9× 344 1.8× 481 3.6× 105 0.8× 30 957
E. Carinou Greece 19 302 1.0× 370 1.4× 779 4.0× 260 1.9× 18 0.1× 58 1.0k
R C Preston United Kingdom 18 54 0.2× 21 0.1× 319 1.6× 484 3.6× 109 0.9× 61 1000

Countries citing papers authored by Stephen Dubsky

Since Specialization
Citations

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

Fields of papers citing papers by Stephen Dubsky

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Stephen Dubsky

This figure shows the co-authorship network connecting the top 25 collaborators of Stephen Dubsky. A scholar is included among the top collaborators of Stephen Dubsky 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 Stephen Dubsky. Stephen Dubsky 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.
Chang, Rachel Yoon Kyung, Chengxi Liu, Yuncheng Wang, et al.. (2024). Using X-ray velocimetry to measure lung function and assess the efficacy of a pseudomonas aeruginosa bacteriophage therapy for cystic fibrosis. Scientific Reports. 14(1). 29727–29727. 2 indexed citations
2.
Song, Yong, et al.. (2023). Mechanical ventilation decreases tidal volume heterogeneity but increases heterogeneity in end-expiratory volumes. Journal of Applied Physiology. 135(4). 747–752.
3.
Yen, Seiha, Yong Song, Ellen Bennett, et al.. (2020). The proteomic response is linked to regional lung volumes in ventilator-induced lung injury. Journal of Applied Physiology. 129(4). 837–845. 6 indexed citations
4.
Donnelley, Martin, Stephen Dubsky, Chaminda R. Samarage, et al.. (2020). Quantification of muco-obstructive lung disease variability in mice via laboratory X-ray velocimetry. Scientific Reports. 10(1). 10859–10859. 10 indexed citations
5.
Donnelley, Martin, Yu‐Wei Lin, Chaminda R. Samarage, et al.. (2020). Real-time in vivo imaging of regional lung function in a mouse model of cystic fibrosis on a laboratory X-ray source. Scientific Reports. 10(1). 447–447. 28 indexed citations
6.
Yen, Seiha, Ellen Bennett, Stephen Dubsky, et al.. (2018). The Link between Regional Tidal Stretch and Lung Injury during Mechanical Ventilation. American Journal of Respiratory Cell and Molecular Biology. 60(5). 569–577. 21 indexed citations
7.
Dubsky, Stephen, et al.. (2018). Cardiogenic Airflow in the Lung Revealed Using Synchrotron-Based Dynamic Lung Imaging. Scientific Reports. 8(1). 4930–4930. 10 indexed citations
8.
Samarage, Chaminda R., et al.. (2016). Technical Note: Contrast free angiography of the pulmonary vasculature in live mice using a laboratory x‐ray source. Medical Physics. 43(11). 6017–6023. 10 indexed citations
9.
Samarage, Chaminda R., Martin Donnelley, Nigel Farrow, et al.. (2016). Quantification of heterogeneity in lung disease with image-based pulmonary function testing. Scientific Reports. 6(1). 29438–29438. 52 indexed citations
10.
Dubsky, Stephen, Kentaro Uesugi, M. David Curtis, et al.. (2015). Imaging lung tissue oscillations using high-speed X-ray velocimetry. Journal of Synchrotron Radiation. 23(1). 324–330. 4 indexed citations
11.
Dubsky, Stephen & Andreas Fouras. (2015). Imaging regional lung function: A critical tool for developing inhaled antimicrobial therapies. Advanced Drug Delivery Reviews. 85. 100–109. 25 indexed citations
12.
Dubsky, Stephen, Stuart B. Hooper, Karen K. W. Siu, & Andreas Fouras. (2012). Synchrotron-based dynamic computed tomography of tissue motion for regional lung function measurement. Journal of The Royal Society Interface. 9(74). 2213–2224. 76 indexed citations
13.
Siu, Karen K. W., et al.. (2012). X-ray velocimetry within theex vivocarotid artery. Journal of Synchrotron Radiation. 19(6). 1050–1055. 15 indexed citations
14.
Hooper, Stuart B., Melissa L. Siew, Megan J. Wallace, et al.. (2012). Functional Lung Imaging during HFV in Preterm Rabbits. PLoS ONE. 7(10). e48122–e48122. 16 indexed citations
15.
Hoarau, Yannick, Philippe Choquet, Charlotte Goetz, et al.. (2012). Flow and particles deposition in anatomically realistic airways. Computer Methods in Biomechanics & Biomedical Engineering. 15(sup1). 56–58. 2 indexed citations
16.
Dubsky, Stephen, et al.. (2011). X-ray Velocimetry and Haemodynamic Forces Within a Stenosed Femoral Model at Physiological Flow Rates. Annals of Biomedical Engineering. 39(6). 1643–1653. 25 indexed citations
17.
Fouras, Andreas, Beth J. Allison, Marcus J. Kitchen, et al.. (2011). Altered Lung Motion is a Sensitive Indicator of Regional Lung Disease. Annals of Biomedical Engineering. 40(5). 1160–1169. 54 indexed citations
18.
Irvine, Sarah C., et al.. (2010). Vector tomographic X-ray phase contrast velocimetry utilizing dynamic blood speckle. Optics Express. 18(3). 2368–2368. 15 indexed citations
19.
Adrian, Ronald J., et al.. (2008). Improved accuracy of micro PIV measurement using image overlapping technique. 3 indexed citations
20.
Irvine, Sarah C., et al.. (2008). Phase retrieval for improved three-dimensional velocimetry of dynamic x-ray blood speckle. Applied Physics Letters. 93(15). 35 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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