David Coope

1.1k total citations
44 papers, 536 citations indexed

About

David Coope is a scholar working on Genetics, Radiology, Nuclear Medicine and Imaging and Epidemiology. According to data from OpenAlex, David Coope has authored 44 papers receiving a total of 536 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Genetics, 18 papers in Radiology, Nuclear Medicine and Imaging and 16 papers in Epidemiology. Recurrent topics in David Coope's work include Glioma Diagnosis and Treatment (25 papers), Meningioma and schwannoma management (16 papers) and MRI in cancer diagnosis (8 papers). David Coope is often cited by papers focused on Glioma Diagnosis and Treatment (25 papers), Meningioma and schwannoma management (16 papers) and MRI in cancer diagnosis (8 papers). David Coope collaborates with scholars based in United Kingdom, United States and Netherlands. David Coope's co-authors include Alan Jackson, Karl Herholz, Andrew T. King, Daniel Lewis, Federico Roncaroli, Ian Kamaly-Asl, James P.B. O’Connor, Omar Pathmanaban, David Brough and Samantha J. Mills and has published in prestigious journals such as The Lancet, NeuroImage and Scientific Reports.

In The Last Decade

David Coope

42 papers receiving 527 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
David Coope United Kingdom 13 255 214 131 126 59 44 536
Franziska Vettermann Germany 13 324 1.3× 243 1.1× 151 1.2× 101 0.8× 73 1.2× 23 539
Vibeke Andrée Larsen Denmark 13 214 0.8× 186 0.9× 102 0.8× 129 1.0× 79 1.3× 43 795
Anne Jarstein Skjulsvik Norway 10 389 1.5× 205 1.0× 147 1.1× 88 0.7× 60 1.0× 16 513
Zhiyong Qin China 15 280 1.1× 131 0.6× 140 1.1× 183 1.5× 117 2.0× 44 681
Igor Pronin Russia 14 281 1.1× 341 1.6× 164 1.3× 207 1.6× 122 2.1× 151 835
Leiming Wang China 15 318 1.2× 141 0.7× 94 0.7× 152 1.2× 145 2.5× 62 733
Jiun‐Lin Yan Taiwan 15 307 1.2× 329 1.5× 121 0.9× 107 0.8× 64 1.1× 46 644
Jorge A. Gutiérrez United States 9 234 0.9× 257 1.2× 130 1.0× 96 0.8× 73 1.2× 24 640
Daniel Delev Germany 19 356 1.4× 135 0.6× 127 1.0× 134 1.1× 129 2.2× 64 879
Karra A. Jones United States 16 197 0.8× 209 1.0× 88 0.7× 86 0.7× 118 2.0× 37 624

Countries citing papers authored by David Coope

Since Specialization
Citations

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

Fields of papers citing papers by David Coope

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Coope

This figure shows the co-authorship network connecting the top 25 collaborators of David Coope. A scholar is included among the top collaborators of David Coope 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 David Coope. David Coope 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.
Borst, Gerben R., et al.. (2025). Targeting the glioblastoma resection margin with locoregional nanotechnologies. Nature Reviews Clinical Oncology. 22(7). 517–537. 4 indexed citations
2.
Higgins, David, et al.. (2024). Glioma monitoring and assessment: Utility of amide proton transfer MRI. Research Explorer (The University of Manchester). 1(1-2). 1 indexed citations
3.
Haley, Michael, Gareth Howell, David Coope, et al.. (2024). Hypoxia coordinates the spatial landscape of myeloid cells within glioblastoma to affect survival. Science Advances. 10(20). eadj3301–eadj3301. 23 indexed citations
5.
Heal, Calvin, et al.. (2024). Glioma-related epilepsy following low-grade glioma surgery. Neuro-Oncology Advances. 6(1). vdae127–vdae127. 1 indexed citations
6.
Lewis, Daniel, Ka‐Loh Li, Mueez Waqar, et al.. (2024). Low-dose GBCA administration for brain tumour dynamic contrast enhanced MRI: a feasibility study. Scientific Reports. 14(1). 4905–4905. 2 indexed citations
7.
Balogun, James A., Mueez Waqar, Calvin Heal, et al.. (2023). Do the indices of deprivation or smoking affect post-operative 1-year mortality in patients undergoing a craniotomy for a brain tumour in a public healthcare system?. Acta Neurochirurgica. 165(7). 1683–1693. 1 indexed citations
8.
Haley, Michael, Christopher Hoyle, Leo Zeef, et al.. (2023). The comparable tumour microenvironment in sporadic andNF2-related schwannomatosis vestibular schwannoma. Brain Communications. 5(4). fcad197–fcad197. 12 indexed citations
10.
Colombo, Francesca, Mueez Waqar, Konstantina Karabatsou, et al.. (2023). Perioperative Means to Prevent Surgical Site Infections following Elective Craniotomies: A Single-Center Experience. Asian Journal of Neurosurgery. 18(3). 614–620. 1 indexed citations
11.
Lewis, Daniel, Xiaoping Zhu, David Coope, et al.. (2022). Surrogate vascular input function measurements from the superior sagittal sinus are repeatable and provide tissue-validated kinetic parameters in brain DCE-MRI. Scientific Reports. 12(1). 8737–8737. 12 indexed citations
12.
Waqar, Mueez, Petra J. van Houdt, Ka‐Loh Li, et al.. (2022). Visualising spatial heterogeneity in glioblastoma using imaging habitats. Frontiers in Oncology. 12. 1037896–1037896. 18 indexed citations
13.
Colombo, Francesca, James A. Balogun, Konstantina Karabatsou, et al.. (2022). Does the Use of Surgical Adjuncts Affect Postoperative Infection Rates in Neuro-oncology Surgery?. World Neurosurgery. 162. e246–e250. 4 indexed citations
14.
Waqar, Mueez, Daniel M. Trifiletti, Catherine McBain, et al.. (2022). Early Therapeutic Interventions for Newly Diagnosed Glioblastoma: Rationale and Review of the Literature. Current Oncology Reports. 24(3). 311–324. 20 indexed citations
15.
Lewis, Daniel, Federico Roncaroli, Tara Kearney, David Coope, & Kanna Gnanalingham. (2021). Quantitative Magnetic Resonance-Derived Biomarkers as Predictors of Function and Histotype in Adenohypophyseal Tumours. Neuroendocrinology. 112(3). 276–286. 2 indexed citations
16.
Zádor, Zsolt, David Coope, Abteen Mostofi, & Ian Kamaly-Asl. (2017). Operative planning aid for optimal endoscopic third ventriculostomy entry points in pediatric cases. Child s Nervous System. 33(2). 269–273. 3 indexed citations
17.
Su, Zhangjie, Federico Roncaroli, Pascal F. Durrenberger, et al.. (2015). The 18-kDa Mitochondrial Translocator Protein in Human Gliomas: An 11C-(R)PK11195 PET Imaging and Neuropathology Study. Journal of Nuclear Medicine. 56(4). 512–517. 63 indexed citations
18.
Mills, Samantha J., et al.. (2011). Imaging biomarkers of angiogenesis and the microvascular environment in cerebral tumours. British Journal of Radiology. 84(special_issue_2). S127–S144. 42 indexed citations
19.
Herholz, Karl, David Coope, & Alan Jackson. (2007). Metabolic and molecular imaging in neuro-oncology. The Lancet Neurology. 6(8). 711–724. 67 indexed citations
20.
Coope, David, et al.. (2007). Evaluation of Primary Brain Tumors Using 11C-Methionine PET with Reference to a Normal Methionine Uptake Map. Journal of Nuclear Medicine. 48(12). 1971–1980. 38 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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