David Barker

530 total citations
9 papers, 389 citations indexed

About

David Barker is a scholar working on Pulmonary and Respiratory Medicine, Radiology, Nuclear Medicine and Imaging and Neurology. According to data from OpenAlex, David Barker has authored 9 papers receiving a total of 389 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Pulmonary and Respiratory Medicine, 4 papers in Radiology, Nuclear Medicine and Imaging and 3 papers in Neurology. Recurrent topics in David Barker's work include Medical Imaging Techniques and Applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). David Barker is often cited by papers focused on Medical Imaging Techniques and Applications (3 papers), Hepatocellular Carcinoma Treatment and Prognosis (3 papers) and Cerebrovascular and Carotid Artery Diseases (3 papers). David Barker collaborates with scholars based in United States, Germany and United Kingdom. David Barker's co-authors include Misty Long, Vladimir Panin, Karl F. Hübner, Cristina Lois, Michael Casey, David W. Townsend, D.J. Kadrmas, Maurizio Conti, Bjoern Jakoby and Joseph A. Horton and has published in prestigious journals such as Stroke, American Journal of Roentgenology and American Journal of Neuroradiology.

In The Last Decade

David Barker

9 papers receiving 383 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 Barker United States 7 271 127 110 77 70 9 389
Yukihiko Ozawa Japan 13 280 1.0× 273 2.1× 89 0.8× 36 0.5× 28 0.4× 19 479
Erwann Rault France 11 241 0.9× 80 0.6× 162 1.5× 70 0.9× 42 0.6× 23 352
Stine Kramer Denmark 9 173 0.6× 207 1.6× 87 0.8× 47 0.6× 33 0.5× 19 429
Tsuyoshi Kawano Japan 8 180 0.7× 112 0.9× 59 0.5× 32 0.4× 21 0.3× 13 285
Pablo Mínguez Gabiña Spain 9 442 1.6× 159 1.3× 209 1.9× 37 0.5× 42 0.6× 24 533
Patrick Veit Germany 11 280 1.0× 157 1.2× 28 0.3× 59 0.8× 90 1.3× 14 433
Teboh Roland United States 9 183 0.7× 124 1.0× 176 1.6× 14 0.2× 10 0.1× 17 324
Andrew Mallia United Kingdom 12 211 0.8× 87 0.7× 42 0.4× 44 0.6× 37 0.5× 21 307
Jip F. Prince Netherlands 14 395 1.5× 251 2.0× 160 1.5× 67 0.9× 407 5.8× 24 628
José Garcia-Ramirez United States 11 206 0.8× 109 0.9× 146 1.3× 69 0.9× 45 0.6× 34 380

Countries citing papers authored by David Barker

Since Specialization
Citations

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

Fields of papers citing papers by David Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of David Barker

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

All Works

9 of 9 papers shown
1.
Samarghandi, Amin, et al.. (2015). 18FDG PET/CT Appearance in Primary Cutaneous Diffuse Large B-Cell Lymphoma, Leg Type. Clinical Nuclear Medicine. 40(6). 506–508. 10 indexed citations
2.
Samarghandi, Amin, et al.. (2014). CT, MRI, and 18F-FDG PET/CT in a Patient With Nested Stromal Epithelial Tumor of the Liver. Clinical Nuclear Medicine. 40(2). 131–133. 6 indexed citations
3.
Barker, David, et al.. (2011). Evaluation of scan time post morphine injection for diagnosing acute cholecystitis with hepatobiliary imaging. 52. 281–281. 1 indexed citations
4.
Lois, Cristina, Bjoern Jakoby, Misty Long, et al.. (2010). An Assessment of the Impact of Incorporating Time-of-Flight Information into Clinical PET/CT Imaging. Journal of Nuclear Medicine. 51(2). 237–245. 203 indexed citations
5.
Barker, David, Ronald J. Zagoria, Kathryn A. Morton, Peter V. Kavanagh, & Perry Shen. (2005). Evaluation of Liver Metastases After Radiofrequency Ablation: Utility of 18F-FDG PET and PET/CT. American Journal of Roentgenology. 184(4). 1096–1102. 40 indexed citations
6.
Wong, Ching Yee Oliver, Riad Salem, Qing Feng, et al.. (2004). Metabolic response after intraarterial 90Y-glass microsphere treatment for colorectal liver metastases: comparison of quantitative and visual analyses by 18F-FDG PET.. PubMed. 45(11). 1892–7. 56 indexed citations
8.
Barker, David, et al.. (1993). Balloon test occlusion of the internal carotid artery: change in stump pressure over 15 minutes and its correlation with xenon CT cerebral blood flow.. American Journal of Neuroradiology. 14(3). 587–90. 34 indexed citations
9.
Kofke, W. Andrew, David Barker, Patrick M. Brauer, et al.. (1991). Comparison of 3-D Xe CBF, Transcranial Doppler, and Carotid Stump Pressure During Carotid Balloon Test Occlusion in Humans. Journal of Neurosurgical Anesthesiology. 3(3). 207–207. 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026