James Galea

2.6k total citations
20 papers, 853 citations indexed

About

James Galea is a scholar working on Neurology, Molecular Biology and Epidemiology. According to data from OpenAlex, James Galea has authored 20 papers receiving a total of 853 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Neurology, 7 papers in Molecular Biology and 3 papers in Epidemiology. Recurrent topics in James Galea's work include Intracranial Aneurysms: Treatment and Complications (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Neurosurgical Procedures and Complications (6 papers). James Galea is often cited by papers focused on Intracranial Aneurysms: Treatment and Complications (10 papers), Traumatic Brain Injury and Neurovascular Disturbances (9 papers) and Neurosurgical Procedures and Complications (6 papers). James Galea collaborates with scholars based in United Kingdom, Canada and Brazil. James Galea's co-authors include Hiren C. Patel, Andrew T. King, Sharon Hulme, Navneet Singh, Pippa Tyrrell, Andy Vail, Stephen J. Hopkins, Nancy J. Rothwell, Margaret E. Hoadley and Peter J. Hutchinson and has published in prestigious journals such as Stroke, Journal of neurosurgery and Nature Reviews Neurology.

In The Last Decade

James Galea

20 papers receiving 847 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
James Galea United Kingdom 12 445 191 171 119 115 20 853
Roshanak Razmpour United States 14 330 0.7× 435 2.3× 264 1.5× 95 0.8× 116 1.0× 17 1.1k
Sharon Hulme United Kingdom 13 270 0.6× 196 1.0× 284 1.7× 101 0.8× 191 1.7× 19 875
K.-P. Wandinger Germany 17 616 1.4× 319 1.7× 122 0.7× 88 0.7× 160 1.4× 28 1.4k
Nizar Souayah United States 17 486 1.1× 132 0.7× 82 0.5× 193 1.6× 139 1.2× 105 948
Ji Hoon Ahn South Korea 8 294 0.7× 139 0.7× 151 0.9× 459 3.9× 75 0.7× 18 975
Domenico Marco Bonifati Italy 15 224 0.5× 223 1.2× 248 1.5× 95 0.8× 65 0.6× 31 947
Lívia Almeida Dutra Brazil 17 415 0.9× 235 1.2× 78 0.5× 287 2.4× 125 1.1× 56 819
Daniele Imperiale Italy 17 233 0.5× 366 1.9× 174 1.0× 265 2.2× 167 1.5× 62 1.2k
Herbert Kolenda Germany 15 299 0.7× 148 0.8× 71 0.4× 129 1.1× 180 1.6× 35 1.1k
Keon‐Joo Lee South Korea 17 814 1.8× 145 0.8× 67 0.4× 84 0.7× 322 2.8× 57 1.3k

Countries citing papers authored by James Galea

Since Specialization
Citations

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

Fields of papers citing papers by James Galea

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of James Galea

This figure shows the co-authorship network connecting the top 25 collaborators of James Galea. A scholar is included among the top collaborators of James Galea 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 James Galea. James Galea 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.
Ooi, Setthasorn Zhi Yang, Robert Spencer, Susruta Manivannan, et al.. (2022). Interleukin-6 as a prognostic biomarker of clinical outcomes after traumatic brain injury: a systematic review. Neurosurgical Review. 45(5). 3035–3054. 33 indexed citations
2.
Zaben, Malik, et al.. (2022). Endovascular and surgical obliteration rates of spinal dural arteriovenous fistulae: a single UK Centre experience. British Journal of Neurosurgery. 37(6). 1613–1618. 3 indexed citations
3.
Bayliss, C E, Simon Bond, Francis Dowling, et al.. (2019). Trial summary and protocol for a phase II randomised placebo-controlled double-blinded trial of Interleukin 1 blockade in Acute Severe Colitis: the IASO trial. BMJ Open. 9(2). e023765–e023765. 32 indexed citations
4.
Bulters, Diederik, Ben Gaastra, Ardalan Zolnourian, et al.. (2018). Haemoglobin scavenging in intracranial bleeding: biology and clinical implications. Nature Reviews Neurology. 14(7). 416–432. 115 indexed citations
5.
6.
7.
Galea, James, et al.. (2017). Predictors of Outcome in Aneurysmal Subarachnoid Hemorrhage Patients. Stroke. 48(11). 2958–2963. 105 indexed citations
8.
Deshmukh, Harshal, et al.. (2016). Effect of weekend admission on in-hospital mortality and functional outcomes for patients with acute subarachnoid haemorrhage (SAH). Acta Neurochirurgica. 158(5). 829–835. 19 indexed citations
9.
Keston, Peter, et al.. (2016). Unusual case of intracranial dural AV fistula presenting with acute myelopathy. BMJ Case Reports. 2016. bcr2016215227–bcr2016215227. 5 indexed citations
10.
Garland, Patrick, Andrew Durnford, Azubuike I. Okemefuna, et al.. (2016). Heme–Hemopexin Scavenging Is Active in the Brain and Associates With Outcome After Subarachnoid Hemorrhage. Stroke. 47(3). 872–876. 50 indexed citations
11.
Davies, Benjamin M., et al.. (2015). Pre-protection re-haemorrhage following aneurysmal subarachnoid haemorrhage: Where are we now?. Clinical Neurology and Neurosurgery. 135. 22–26. 8 indexed citations
12.
Vail, Andy, et al.. (2015). Impact of specialist neurovascular care in subarachnoid haemorrhage. Clinical Neurology and Neurosurgery. 133. 55–60. 7 indexed citations
13.
Galea, James, Javier Fandino, Serge Marbacher, et al.. (2014). Neurovascular Events After Subarachnoid Hemorrhage: Towards Experimental and Clinical Standardisation. Research Explorer (The University of Manchester). 1 indexed citations
14.
Durnford, Andrew, James Galea, Diederik Bulters, et al.. (2014). Haemoglobin Scavenging After Subarachnoid Haemorrhage. Acta neurochirurgica. Supplementum. 120. 51–54. 13 indexed citations
15.
Singh, Navneet, Stephen J. Hopkins, Sharon Hulme, et al.. (2014). The effect of intravenous interleukin-1 receptor antagonist on inflammatory mediators in cerebrospinal fluid after subarachnoid haemorrhage: a phase II randomised controlled trial. Journal of Neuroinflammation. 11(1). 1–1. 237 indexed citations
16.
Galea, James, et al.. (2013). Lumbar puncture and the diagnosis of CT negative subarachnoid haemorrhage: time for a new approach?. British Journal of Neurosurgery. 27(5). 599–602. 11 indexed citations
17.
Hopkins, Stephen J., Catherine McMahon, Navneet Singh, et al.. (2012). Cerebrospinal fluid and plasma cytokines after subarachnoid haemorrhage: CSF interleukin-6 may be an early marker of infection. Journal of Neuroinflammation. 9(1). 255–255. 55 indexed citations
18.
Singh, Navneet, et al.. (2011). External ventricular drain infection: improved technique can reduce infection rates. British Journal of Neurosurgery. 25(5). 632–635. 55 indexed citations
19.
Galea, James, et al.. (2005). Chronologic and dental ages of Maltese schoolchildren : a pilot study. 11 indexed citations
20.
Galea, James. (1953). The epidemic of poliomyelitis in Malta during 1950-51, notes and observations.. PubMed. 16(6). 161–71. 1 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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