George Harston

1.8k total citations
50 papers, 831 citations indexed

About

George Harston is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, George Harston has authored 50 papers receiving a total of 831 indexed citations (citations by other indexed papers that have themselves been cited), including 29 papers in Epidemiology, 23 papers in Pulmonary and Respiratory Medicine and 19 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in George Harston's work include Acute Ischemic Stroke Management (29 papers), Advanced MRI Techniques and Applications (17 papers) and Cerebrovascular and Carotid Artery Diseases (16 papers). George Harston is often cited by papers focused on Acute Ischemic Stroke Management (29 papers), Advanced MRI Techniques and Applications (17 papers) and Cerebrovascular and Carotid Artery Diseases (16 papers). George Harston collaborates with scholars based in United Kingdom, United States and Malaysia. George Harston's co-authors include James Kennedy, Michael A. Chappell, Fintan Sheerin, Thomas W. Okell, Yee Kai Tee, Peter Jezzard, Nicholas P. Blockley, Stephen J. Payne, M. Cellerini and Gabriel E. Shaya and has published in prestigious journals such as SHILAP Revista de lepidopterología, NeuroImage and Brain.

In The Last Decade

George Harston

44 papers receiving 827 citations

Peers

George Harston
Adrienne N. Dula United States
Christoph Mönninghoff Germany
Benjamin Marty France
Krishna Dani United Kingdom
Katalin Borbély Hungary
Nicholas P. Blockley United Kingdom
Makio Kaminogo Japan
Masami Yoneyama Japan
Derek Emery Canada
Victoria L. Doyle United Kingdom
Adrienne N. Dula United States
George Harston
Citations per year, relative to George Harston George Harston (= 1×) peers Adrienne N. Dula

Countries citing papers authored by George Harston

Since Specialization
Citations

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

Fields of papers citing papers by George Harston

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of George Harston

This figure shows the co-authorship network connecting the top 25 collaborators of George Harston. A scholar is included among the top collaborators of George Harston 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 George Harston. George Harston 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.
Rai, Ansaar, Mohamad Abdalkader, Artem Kaliaev, et al.. (2025). Artificial Intelligence–Driven Detection of Large Vessel Occlusions on NCCT: A Multi-Institutional Study. American Journal of Neuroradiology. 46(12). 2528–2534. 1 indexed citations
2.
Abraham, Sonya, Davide Carone, Orell Mielke, et al.. (2025). Automatically quantified follow-up imaging biomarkers predict clinical outcomes after acute ischemic stroke. Frontiers in Neurology. 16. 1483138–1483138.
3.
Smith, Brett, Bart M. Demaerschalk, Deena M. Nasr, et al.. (2025). Abstract TP86: Evaluating the Implementation of Brainomix 360 AI Stroke Software in a Robust Academic Hub-and-Spoke Telestroke Network. Stroke. 56(Suppl_1).
4.
5.
Smith, Brett, James T. Wolfe, Deena M. Nasr, et al.. (2025). Prospective Evaluation of Artificial Intelligence Imaging Support Software for Acute Ischemic Stroke in the Mayo Clinic Telestroke Network. Mayo Clinic Proceedings Innovations Quality & Outcomes. 9(4). 100631–100631.
6.
Garrard, James, Ain Neuhaus, Davide Carone, et al.. (2024). CT perfusion for lesion-symptom mapping in large vessel occlusion ischemic stroke. Journal of NeuroInterventional Surgery. 18(1). 149–154.
7.
8.
George, Peter M., Roberta Eufrasia Ledda, Rezan A. Kadir, et al.. (2024). Evaluation of e-Lung automated quantitative computed tomography biomarkers in idiopathic pulmonary fibrosis. ERJ Open Research. 10(6). 570–2024. 2 indexed citations
9.
Nagaratnam, Kiruba, Ain Neuhaus, James Briggs, et al.. (2024). Artificial intelligence-based decision support software to improve the efficacy of acute stroke pathway in the NHS: an observational study. Frontiers in Neurology. 14. 1329643–1329643. 4 indexed citations
10.
Jabal, Mohamed Sobhi, David F. Kallmes, George Harston, et al.. (2023). Automated CT angiography collateral scoring in anterior large vessel occlusion stroke: A multireader study. Interventional Neuroradiology. 31(1). 95–100. 6 indexed citations
11.
Neuhaus, Ain, Gina Hadley, Joyce S. Balami, et al.. (2023). Posterior circulation ischaemic stroke diagnosis and management. Clinical Medicine. 23(3). 219–227. 9 indexed citations
12.
Larkin, James R., Brad A. Sutherland, Wun‐She Yap, et al.. (2023). Investigation of relayed nuclear Overhauser enhancement effect at −1.6 ppm in an ischemic stroke model. Quantitative Imaging in Medicine and Surgery. 13(12). 7879–7892. 3 indexed citations
13.
Neuhaus, Ain, et al.. (2022). Improved Stroke Care in a Primary Stroke Centre Using AI-Decision Support. Cerebrovascular Diseases Extra. 12(1). 28–32. 12 indexed citations
14.
Jabal, Mohamed Sobhi, Olivier Joly, David F. Kallmes, et al.. (2022). Interpretable Machine Learning Modeling for Ischemic Stroke Outcome Prediction. Frontiers in Neurology. 13. 884693–884693. 34 indexed citations
15.
Bouslama, Mehdi, Krishnan Ravindran, George Harston, et al.. (2021). Noncontrast Computed Tomography e-Stroke Infarct Volume Is Similar to RAPID Computed Tomography Perfusion in Estimating Postreperfusion Infarct Volumes. Stroke. 52(2). 634–641. 21 indexed citations
16.
Damion, Robin A., Michael J. Knight, Rose Bosnell, et al.. (2019). Quantifying T 2 relaxation time changes within lesions defined by apparent diffusion coefficient in grey and white matter in acute stroke patients. Physics in Medicine and Biology. 64(9). 95016–95016. 3 indexed citations
17.
Grunwald, Iris Q., Wolfgang Reith, Stephen Gerry, et al.. (2019). Collateral Automation for Triage in Stroke: Evaluating Automated Scoring of Collaterals in Acute Stroke on Computed Tomography Scans. Cerebrovascular Diseases. 47(5-6). 217–222. 61 indexed citations
18.
Stone, Alan J., George Harston, Davide Carone, et al.. (2019). Prospects for investigating brain oxygenation in acute stroke: Experience with a non‐contrast quantitative BOLD based approach. Human Brain Mapping. 40(10). 2853–2866. 14 indexed citations
19.
Harston, George, Lampson Fan, Thomas W. Okell, et al.. (2014). Lacunar Infarction Associated with Anabolic Steroids and Polycythemia: A Case Report. Case Reports in Neurology. 6(1). 34–37. 6 indexed citations
20.
Harston, George, Mark Sheehan, & James Kennedy. (2013). Emergency medicine research: rites, rituals and consent. Emergency Medicine Journal. 31(2). 90–91. 3 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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