Philip A. Barber

17.0k total citations · 2 hit papers
88 papers, 6.4k citations indexed

About

Philip A. Barber is a scholar working on Epidemiology, Pulmonary and Respiratory Medicine and Neurology. According to data from OpenAlex, Philip A. Barber has authored 88 papers receiving a total of 6.4k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Epidemiology, 37 papers in Pulmonary and Respiratory Medicine and 25 papers in Neurology. Recurrent topics in Philip A. Barber's work include Acute Ischemic Stroke Management (55 papers), Cerebrovascular and Carotid Artery Diseases (37 papers) and Traumatic Brain Injury and Neurovascular Disturbances (15 papers). Philip A. Barber is often cited by papers focused on Acute Ischemic Stroke Management (55 papers), Cerebrovascular and Carotid Artery Diseases (37 papers) and Traumatic Brain Injury and Neurovascular Disturbances (15 papers). Philip A. Barber collaborates with scholars based in Canada, United States and United Kingdom. Philip A. Barber's co-authors include Andrew M. Demchuk, Alastair M. Buchan, Jinjin Zhang, Michael D. Hill, Mark E. Hudon, J. H. Warwick Pexman, William Hu, Robert J. Sevick, Shelagh B. Coutts and Andrew M. Demchuk and has published in prestigious journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Philip A. Barber

86 papers receiving 6.2k citations

Hit Papers

Validity and reliability of a quantitative computed tomog... 2000 2026 2008 2017 2000 2001 500 1000 1.5k

Peers

Philip A. Barber
Martin Grond Germany
Helmi L. Lutsep United States
Natalia S. Rost United States
Stefan T. Engelter Switzerland
Martin Grond Germany
Philip A. Barber
Citations per year, relative to Philip A. Barber Philip A. Barber (= 1×) peers Martin Grond

Countries citing papers authored by Philip A. Barber

Since Specialization
Citations

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

Fields of papers citing papers by Philip A. Barber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Philip A. Barber. 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 Philip A. Barber. The network helps show where Philip A. Barber may publish in the future.

Co-authorship network of co-authors of Philip A. Barber

This figure shows the co-authorship network connecting the top 25 collaborators of Philip A. Barber. A scholar is included among the top collaborators of Philip A. Barber 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 Philip A. Barber. Philip A. Barber 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.
Singh, Nishita, Carol Kenney, Kenneth Butcher, et al.. (2024). A Randomized Controlled Trial of Tenecteplase Versus Standard of Care for Minor Ischemic Stroke with Proven Occlusion (TEMPO-2): Rational and design of a multicenter, randomized open-label clinical trial. International Journal of Stroke. 19(7). 817–822. 1 indexed citations
3.
Fladt, Joachim, Jen Guo, Ryan McTaggart, et al.. (2023). Infarct Evolution on MR-DWI After Thrombectomy in Acute Stroke Patients Randomized to Nerinetide or Placebo. Neurology. 102(2). e207976–e207976. 4 indexed citations
4.
5.
Wang, Meng, Tolulope T. Sajobi, Zahinoor Ismail, et al.. (2022). A pragmatic dementia risk score for patients with mild cognitive impairment in a memory clinic population: Development and validation of a dementia risk score using routinely collected data. Alzheimer s & Dementia Translational Research & Clinical Interventions. 8(1). e12301–e12301. 6 indexed citations
6.
Barber, Philip A., et al.. (2021). Quantitative detection of grey and white matter amyloid pathology using a combination of K114 and CRANAD-3 fluorescence. Neurobiology of Disease. 161. 105540–105540. 9 indexed citations
7.
Ganesh, Aravind, Philip A. Barber, Sandra E. Black, et al.. (2020). Trial of remote ischaemic preconditioning in vascular cognitive impairment (TRIC-VCI): protocol. BMJ Open. 10(10). e040466–e040466. 10 indexed citations
8.
Guo, Jen, Rani Gupta Sah, Bijoy K. Menon, et al.. (2020). Dynamic CTA-Derived Perfusion Maps Predict Final Infarct Volume: The Simple Perfusion Reconstruction Algorithm. American Journal of Neuroradiology. 41(11). 2034–2040. 9 indexed citations
9.
Tariq, Sana, Rani Gupta Sah, Deepthi Rajashekar, et al.. (2020). Recanalization following Endovascular treatment and imaging of PErfusion, Regional inFarction and atrophy to Understand Stroke Evolution—NA1 (REPERFUSE-NA1). International Journal of Stroke. 15(3). 343–349. 4 indexed citations
10.
Sah, Rani Gupta, Deepthi Rajashekar, Pauline Mouchès, et al.. (2019). Temporal evolution and spatial distribution of quantitative T2 MRI following acute ischemia reperfusion injury. International Journal of Stroke. 15(5). 495–506. 5 indexed citations
11.
Sah, Rani Gupta, Christopher D. d’Esterre, Michael D. Hill, et al.. (2018). Diffusion-weighted imaging lesion growth occurs despite recanalization in acute ischemic stroke: Implications for future treatment trials. International Journal of Stroke. 14(3). 257–264. 20 indexed citations
12.
Demchuk, Andrew M., Michael D. Hill, Philip A. Barber, et al.. (2008). Importance of Leukoaraiosis on CT for Tissue Plasminogen Activator Decision Making: Evaluation of the NINDS rt-PA Stroke Study. Cerebrovascular Diseases. 26(2). 120–125. 57 indexed citations
13.
Barber, Philip A., et al.. (2005). Early T1- and T2-weighted MRI signatures of transient and permanent middle cerebral artery occlusion in a murine stroke model studied at 9.4T. Neuroscience Letters. 388(1). 54–59. 48 indexed citations
14.
Barber, Philip A.. (2004). The probability of middle cerebral artery MRA flow signal abnormality with quantified CT ischaemic change: targets for future therapeutic studies. Journal of Neurology Neurosurgery & Psychiatry. 75(10). 1426–1430. 22 indexed citations
15.
Barber, Philip A., Mark E. Hudon, Richard Frayne, et al.. (2003). Reliability in assessment of DWI/PWI mismatch. Stroke. 34. 260–260. 1 indexed citations
16.
Barber, Philip A., Andrew M. Demchuk, Jinjin Zhang, et al.. (2003). Computed Tomographic Parameters Predicting Fatal Outcome in Large Middle Cerebral Artery Infarction. Cerebrovascular Diseases. 16(3). 230–235. 48 indexed citations
17.
Hill, Michael D., Philip A. Barber, Andrew M. Demchuk, et al.. (2002). Validation of the ASPECT score as a predictor of outcome: Analysis of the ATLANTIS-B study. Stroke. 33. 381–381. 2 indexed citations
18.
Barber, Philip A., Andrew M. Demchuk, Michael D. Hill, et al.. (2001). A comparison of CT versus MR imaging in acute stroke using ASPECTS: Will the “new” replace the “old” as the preferred imaging modality?. Stroke. 32. 325–325. 11 indexed citations
19.
Barber, Philip A., et al.. (2000). The electroencephalogram in dementia with Lewy bodies. Acta Neurologica Scandinavica. 101(1). 53–56. 44 indexed citations
20.
Hill, Michael D., et al.. (2000). Reactions to alteplase in patients with acute thrombotic stroke.. Canadian Medical Association Journal. 163(4). 388–389. 2 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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