Andrew J. Swift

7.0k total citations
143 papers, 3.5k citations indexed

About

Andrew J. Swift is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Andrew J. Swift has authored 143 papers receiving a total of 3.5k indexed citations (citations by other indexed papers that have themselves been cited), including 89 papers in Pulmonary and Respiratory Medicine, 68 papers in Cardiology and Cardiovascular Medicine and 50 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Andrew J. Swift's work include Pulmonary Hypertension Research and Treatments (79 papers), Cardiovascular Function and Risk Factors (59 papers) and Atomic and Subatomic Physics Research (37 papers). Andrew J. Swift is often cited by papers focused on Pulmonary Hypertension Research and Treatments (79 papers), Cardiovascular Function and Risk Factors (59 papers) and Atomic and Subatomic Physics Research (37 papers). Andrew J. Swift collaborates with scholars based in United Kingdom, United States and Netherlands. Andrew J. Swift's co-authors include Jim M. Wild, David G. Kiely, Robin Condliffe, Smitha Rajaram, David Capener, Charlie Elliot, Judith Hurdman, Christopher Johns, Edwin J.R. van Beek and Neil Woodhouse and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Andrew J. Swift

134 papers receiving 3.5k citations

Peers

Countries citing papers authored by Andrew J. Swift

Since Specialization

Citations

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

Fields of papers citing papers by Andrew J. Swift

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Andrew J. Swift

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Swift. A scholar is included among the top collaborators of Andrew J. Swift 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 Andrew J. Swift. Andrew J. Swift is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	The spectrum of systemic sclerosis-associated pulmonary hypertension: Insights from the ASPIRE registry 2024 ·The Journal of Heart and Lung Transplantation ·(unknown), A. A. Roger Thompson, Mohammed Akil, Samer Alabed, Athanasios Charalampopoulos, Krit Dwivedi, Charlie Elliot, Abdul Hameed, (unknown), (unknown), Catherine Hill, Judith Hurdman, (unknown), (unknown), Smitha Rajaram, Alexander Rothman, Andrew J. Swift, Jim M. Wild, David G. Kiely, Robin Condliffe	2
2	Facilitating the use of routine data to evaluate artificial intelligence solutions: lessons from the NIHR/RCR data curation workshop 2024 ·Clinical Radiology ·Susan C. Shelmerdine, Sarah Hickman, (unknown), (unknown), Jonathan Taylor, Andrew J. Swift, Mark Thurston, (unknown), Sarim Ather, Simon Doran, (unknown), Andrea Rockall	1
3	Improving Prognostication in Pulmonary Hypertension Using AI-quantified Fibrosis and Radiologic Severity Scoring at Baseline CT 2024 ·Radiology ·Krit Dwivedi, Michael Sharkey, (unknown), Samer Alabed, Smitha Rajaram, Catherine Hill, Christopher Johns, Alexander Rothman, Michail Mamalakis, A. A. Roger Thompson, Jim M. Wild, Robin Condliffe, David G. Kiely, Andrew J. Swift	12
4	Age, sex, and lung volume dependence of dissolved xenon‐129 MRI gas exchange metrics 2024 ·Magnetic Resonance in Medicine ·Guilhem Collier, Laurie Smith, Laura Saunders, Andrew J. Swift, Helen Marshall, Neil J. Stewart, Graham Norquay, Paul Hughes, (unknown), Jim M. Wild	6
5	Evaluating the performance of artificial intelligence software for lung nodule detection on chest radiographs in a retrospective real-world UK population 2023 ·BMJ Open ·(unknown), (unknown), S. Matthews, Jonathan Taylor, Michael Sharkey, Peter Metherall, Samer Alabed, Krit Dwivedi, Yousef Shahin, E Anderson, Sarah K. Holt, (unknown), (unknown), Nigel Hoggard, (unknown), Andrew J. Swift, Christopher Johns	11
6	Semi-automatic thresholding of RV trabeculation improves repeatability and diagnostic value in suspected pulmonary hypertension 2023 ·Frontiers in Cardiovascular Medicine ·(unknown), (unknown), Samer Alabed, (unknown), (unknown), Krit Dwivedi, Christopher Johns, (unknown), Faisal Alandejani, Robin Condliffe, Jim M. Wild, David G. Kiely, Pankaj Garg, Andrew J. Swift	2
7	The Left Atrial Area Derived Cardiovascular Magnetic Resonance Left Ventricular Filling Pressure Equation Shows Superiority over Integrated Echocardiography 2023 ·Medicina ·Ciaran Grafton‐Clarke, Gareth Matthews, Rebecca Gosling, Peter Swoboda, Alexander Rothman, Jim M. Wild, David G. Kiely, Robin Condliffe, Samer Alabed, Andrew J. Swift, Pankaj Garg	1
8	Hyperpolarised xenon-129 diffusion-weighted magnetic resonance imaging for assessing lung microstructure in idiopathic pulmonary fibrosis 2023 ·ERJ Open Research ·James Eaden, Nicholas Weatherley, Ho‐Fung Chan, Guilhem Collier, Graham Norquay, Andrew J. Swift, Smitha Rajaram, Laurie Smith, Brian J. Bartholmai, Stephen Bianchi, Jim M. Wild	7
9	Artificial Intelligence framework with traditional computer vision and deep learning approaches for optimal automatic segmentation of left ventricle with scar 2023 ·Artificial Intelligence in Medicine ·Michail Mamalakis, Pankaj Garg, Tom Nelson, Justin Lee, Andrew J. Swift, Jim M. Wild, Richard H. Clayton	9
10	Computed tomography lung parenchymal descriptions in routine radiological reporting have diagnostic and prognostic utility in patients with idiopathic pulmonary arterial hypertension and pulmonary hypertension associated with lung disease 2022 ·ERJ Open Research ·Krit Dwivedi, Robin Condliffe, Michael Sharkey, Robert A. Lewis, Samer Alabed, Smitha Rajaram, Catherine Hill, Laura Saunders, Peter Metherall, Faisal Alandejani, (unknown), Jim M. Wild, Haiping Lu, David G. Kiely, Andrew J. Swift	10
11	Development of a Mortality Prediction Model in Hospitalised SARS-CoV-2 Positive Patients Based on Routine Kidney Biomarkers 2022 ·International Journal of Molecular Sciences ·(unknown), Abhirup Banerjee, Michail Mamalakis, Surajit Ray, Andrew J. Swift, Craig Wilkie, (unknown), Bart Vorselaars, Joby Cole, (unknown), Louise S. Mackenzie	4
12	The Role of Artificial Intelligence in Predicting Outcomes by Cardiovascular Magnetic Resonance: A Comprehensive Systematic Review 2022 ·Medicina ·(unknown), Samer Alabed, (unknown), (unknown), Rui Li, David P Ripley, Rob J. van der Geest, (unknown), Liang Zhong, Andrew J. Swift, Pankaj Garg	6
13	Severe pulmonary hypertension associated with lung disease is characterised by a loss of small pulmonary vessels on quantitative computed tomography 2022 ·ERJ Open Research ·(unknown), Yousef Shahin, Faisal Alandejani, Krit Dwivedi, Samer Alabed, Christopher Johns, Allan Lawrie, A. A. Roger Thompson, Alexander Rothman, Juerg Tschirren, Johanna Uthoff, Eric A. Hoffman, Robin Condliffe, Jim M. Wild, David G. Kiely, Andrew J. Swift	19
14	Quantitative CT Evaluation of Small Pulmonary Vessels Has Functional and Prognostic Value in Pulmonary Hypertension 2022 ·Radiology ·Yousef Shahin, Samer Alabed, (unknown), Juerg Tschirren, Alexander Rothman, Robin Condliffe, Jim M. Wild, David G. Kiely, Andrew J. Swift	8
15	Cardiac magnetic resonance identifies raised left ventricular filling pressure: prognostic implications 2022 ·European Heart Journal ·Pankaj Garg, Rebecca Gosling, Peter Swoboda, Rachel Jones, Alexander Rothman, Jim M. Wild, David G. Kiely, Robin Condliffe, Samer Alabed, Andrew J. Swift	45
16	Lung MRI with hyperpolarised gases: current & future clinical perspectives 2021 ·British Journal of Radiology ·Neil J. Stewart, Laurie Smith, Ho‐Fung Chan, James Eaden, Smitha Rajaram, Andrew J. Swift, Nicholas Weatherley, Alberto Biancardi, Guilhem Collier, David A. Hughes, (unknown), Christopher Johns, N. West, (unknown), Stephen Bianchi, Rod Lawson, Ian Sabroe, Helen Marshall, Jim M. Wild	38
17	Characterisation of the patients with suspected heart failure: experience from the SHEAF registry 2021 ·Open Heart ·Pankaj Garg, (unknown), (unknown), Andrew J. Swift, (unknown), Graham Fent, Nigel Lewis, Dominic Rogers, Athanasios Charalampopoulos, Abdallah Al‐Mohammad	10
18	Four-dimensional flow cardiovascular magnetic resonance for the assessment of mitral stenosis 2021 ·European Heart Journal - Case Reports ·(unknown), Andrew J. Swift, Alisdair Ryding, Pankaj Garg	4
19	Free breathing lung T₁ mapping using image registration in patients with idiopathic pulmonary fibrosis 2020 ·Magnetic Resonance in Medicine ·Laura Saunders, James Eaden, Stephen Bianchi, Andrew J. Swift, Jim M. Wild	2
20	Magnetic Resonance Imaging in the Prognostic Evaluation of Patients with Pulmonary Arterial Hypertension 2017 ·American Journal of Respiratory and Critical Care Medicine ·Andrew J. Swift, David Capener, Christopher Johns, Neil Hamilton, Alexander Rothman, Charlie Elliot, Robin Condliffe, Athanasios Charalampopoulos, Smitha Rajaram, Allan Lawrie, Michael J. Campbell, Jim M. Wild, David G. Kiely	109

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.

Explore authors with similar magnitude of impact