Andreas Fouras

5.2k total citations · 2 hit papers
120 papers, 4.1k citations indexed

About

Andreas Fouras is a scholar working on Pulmonary and Respiratory Medicine, Radiation and Computational Mechanics. According to data from OpenAlex, Andreas Fouras has authored 120 papers receiving a total of 4.1k indexed citations (citations by other indexed papers that have themselves been cited), including 53 papers in Pulmonary and Respiratory Medicine, 28 papers in Radiation and 27 papers in Computational Mechanics. Recurrent topics in Andreas Fouras's work include Neonatal Respiratory Health Research (27 papers), Fluid Dynamics and Turbulent Flows (22 papers) and Advanced X-ray Imaging Techniques (21 papers). Andreas Fouras is often cited by papers focused on Neonatal Respiratory Health Research (27 papers), Fluid Dynamics and Turbulent Flows (22 papers) and Advanced X-ray Imaging Techniques (21 papers). Andreas Fouras collaborates with scholars based in Australia, Japan and United States. Andreas Fouras's co-authors include Karen K. W. Siu, Stuart B. Hooper, Marcus J. Kitchen, Kaye S. Morgan, Kerry Hourigan, Martin Donnelley, David Parsons, Megan J. Wallace, Stephen Dubsky and Richard C. Boucher and has published in prestigious journals such as Nature Medicine, SHILAP Revista de lepidopterología and Applied Physics Letters.

In The Last Decade

Andreas Fouras

110 papers receiving 4.0k citations

Hit Papers

Correction: Corrigendum: ... 2009 2026 2014 2020 2014 2009 200 400 600

Author Peers

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

Author Last Decade Papers Cites
Andreas Fouras 1.6k 717 666 547 459 120 4.1k
Johannes C. Schittny 1.5k 0.9× 294 0.4× 824 1.2× 203 0.4× 158 0.3× 91 4.5k
Matthias Ochs 4.3k 2.8× 666 0.9× 1.5k 2.2× 171 0.3× 614 1.3× 194 7.2k
Yoichi M. Ito 1.3k 0.8× 241 0.3× 1.1k 1.6× 225 0.4× 44 0.1× 300 5.5k
David M. L. Cooper 929 0.6× 1.5k 2.1× 990 1.5× 178 0.3× 179 0.4× 211 6.1k
Masahiko Katô 608 0.4× 280 0.4× 463 0.7× 74 0.1× 47 0.1× 292 4.8k
Bélâ Suki 6.6k 4.2× 2.0k 2.9× 954 1.4× 65 0.1× 609 1.3× 269 10.6k
David L. Brown 287 0.2× 563 0.8× 1.8k 2.7× 152 0.3× 59 0.1× 203 6.2k
Akihiko Ito 703 0.5× 425 0.6× 327 0.5× 183 0.3× 36 0.1× 413 6.8k
Philippe Rousseau 412 0.3× 207 0.3× 232 0.3× 199 0.4× 75 0.2× 159 4.8k
Toshihiko Satō 1.6k 1.0× 351 0.5× 929 1.4× 111 0.2× 55 0.1× 335 6.0k

Countries citing papers authored by Andreas Fouras

Since Specialization
Citations

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

Fields of papers citing papers by Andreas Fouras

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andreas Fouras

This figure shows the co-authorship network connecting the top 25 collaborators of Andreas Fouras. A scholar is included among the top collaborators of Andreas Fouras 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 Andreas Fouras. Andreas Fouras 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
2.
Bose, Sonali, Zuzana Diamant, Nina Eikelis, et al.. (2023). Functional imaging for assessing regional lung ventilation in preclinical and clinical research. Frontiers in Medicine. 10. 1160292–1160292. 7 indexed citations
3.
Kirkness, Jason P., Jonathan Dusting, Nina Eikelis, et al.. (2023). Association of x-ray velocimetry (XV) ventilation analysis compared to spirometry. SHILAP Revista de lepidopterología. 5. 1148310–1148310. 10 indexed citations
4.
Asosingh, Kewal, et al.. (2022). Preclinical Four-Dimensional Functional Lung Imaging and Quantification of Regional Airflow: A New Standard in Lung Function Evaluation in Murine Models. American Journal of Respiratory Cell and Molecular Biology. 67(4). 423–429. 11 indexed citations
5.
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
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.
Kitchen, Marcus J., et al.. (2016). Requirements for dynamical differential phase contrast x-ray imaging with a laboratory source. Physics in Medicine and Biology. 61(24). 8720–8735. 3 indexed citations
8.
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
9.
Paganin, David M., et al.. (2015). Phase contrast x-ray velocimetry of small animal lungs: optimising imaging rates. Biomedical Optics Express. 7(1). 79–79. 11 indexed citations
10.
Samarage, Chaminda R., Melanie D. White, Yanina D. Álvarez, et al.. (2015). Cortical Tension Allocates the First Inner Cells of the Mammalian Embryo. Developmental Cell. 34(4). 435–447. 136 indexed citations
11.
Donnelley, Martin, Kaye S. Morgan, Karen K. W. Siu, et al.. (2014). Non-invasive airway health assessment: Synchrotron imaging reveals effects of rehydrating treatments on mucociliary transit in-vivo. Scientific Reports. 4(1). 3689–3689. 26 indexed citations
12.
Fouras, Andreas, et al.. (2013). High spatiotemporal resolution measurement of regional lung air volumes from 2D phase contrast x‐ray images. Medical Physics. 40(4). 41909–41909. 11 indexed citations
13.
Ismadi, Mohd‐Zulhilmi, et al.. (2013). Optimisation of a Stirred Bioreactor through the Use of a Novel Holographic Correlation Velocimetry Flow Measurement Technique. PLoS ONE. 8(6). e65714–e65714. 9 indexed citations
14.
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
15.
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
16.
Nesbitt, Warwick S., Erik Westein, Francisco J. Tovar‐Lopez, et al.. (2009). A shear gradient–dependent platelet aggregation mechanism drives thrombus formation. Nature Medicine. 15(6). 665–673. 670 indexed citations breakdown →
17.
Parsons, David, Kaye S. Morgan, Martin Donnelley, et al.. (2008). High‐resolution visualization of airspace structures in intact mice via synchrotron phase‐contrast X‐ray imaging (PCXI). Journal of Anatomy. 213(2). 217–227. 46 indexed citations
18.
Fouras, Andreas, Jonathan Dusting, & Kerry Hourigan. (2007). A simple calibration technique for stereoscopic particle image velocimetry. Experiments in Fluids. 42(5). 799–810. 20 indexed citations
19.
Fouras, Andreas, Kerry Hourigan, Masaaki Kawahashi, & Hiroyuki HIRAHARA. (2006). An improved, free surface, topographic technique. Journal of Visualization. 9(1). 49–56. 19 indexed citations
20.
Fouras, Andreas & Julio Soria. (1998). Accuracy of out-of-plane vorticity measurements using in-plane velocity vector field data. Experiments in Fluids. 409–430. 11 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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