Marisa Cullinane

782 total citations
9 papers, 542 citations indexed

About

Marisa Cullinane is a scholar working on Pulmonary and Respiratory Medicine, Cardiology and Cardiovascular Medicine and Epidemiology. According to data from OpenAlex, Marisa Cullinane has authored 9 papers receiving a total of 542 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Pulmonary and Respiratory Medicine, 5 papers in Cardiology and Cardiovascular Medicine and 5 papers in Epidemiology. Recurrent topics in Marisa Cullinane's work include Cerebrovascular and Carotid Artery Diseases (8 papers), Acute Ischemic Stroke Management (5 papers) and Cardiac Imaging and Diagnostics (3 papers). Marisa Cullinane is often cited by papers focused on Cerebrovascular and Carotid Artery Diseases (8 papers), Acute Ischemic Stroke Management (5 papers) and Cardiac Imaging and Diagnostics (3 papers). Marisa Cullinane collaborates with scholars based in United Kingdom, Netherlands and United States. Marisa Cullinane's co-authors include Hugh S. Markus, Martin J. Shipley, Alice King, Raffi Topakian, Natan M. Bornstein, Arjen Schaafsma, David J. Lythgoe, Steven Williams, R J Wainwright and Mark Monaghan and has published in prestigious journals such as Stroke, The Lancet Neurology and Ultrasound in Medicine & Biology.

In The Last Decade

Marisa Cullinane

9 papers receiving 522 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Marisa Cullinane United Kingdom	9	402	304	278	136	106	9	542
Claus-Werner Wallesch Germany	9	314 0.8×	151 0.5×	233 0.8×	177 1.3×	63 0.6×	15	422
Sang‐Won Ha South Korea	8	185 0.5×	136 0.4×	198 0.7×	146 1.1×	30 0.3×	34	406
J Gieseke Germany	9	165 0.4×	64 0.2×	167 0.6×	85 0.6×	152 1.4×	28	425
Aiko Tamura Japan	10	226 0.6×	82 0.3×	252 0.9×	118 0.9×	57 0.5×	18	369
Michaël Obadia France	13	161 0.4×	60 0.2×	211 0.8×	154 1.1×	42 0.4×	46	437
Edmundo Arteaga Brazil	16	135 0.3×	626 2.1×	273 1.0×	22 0.2×	92 0.9×	59	833
Κωνσταντίνος Κούσκουρας Greece	10	183 0.5×	150 0.5×	95 0.3×	44 0.3×	63 0.6×	39	343
Kari Pulfer United States	13	359 0.9×	75 0.2×	224 0.8×	345 2.5×	188 1.8×	26	622
Nayoung Kim South Korea	6	106 0.3×	77 0.3×	180 0.6×	67 0.5×	30 0.3×	11	298
Hirotsugu Yukawa Japan	6	320 0.8×	100 0.3×	183 0.7×	236 1.7×	93 0.9×	12	405

Countries citing papers authored by Marisa Cullinane

Since Specialization

Citations

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

Fields of papers citing papers by Marisa Cullinane

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marisa Cullinane

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

All Works

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9 of 9 papers shown

Markus, Hugh S., Alice King, Martin J. Shipley, et al.. (2010). Asymptomatic embolisation for prediction of stroke in the Asymptomatic Carotid Emboli Study (ACES): a prospective observational study. The Lancet Neurology. 9(7). 663–671. 254 indexed citations

Cullinane, Marisa, et al.. (2002). Online automated detection of cerebral embolic signals from a variety of embolic sources. Ultrasound in Medicine & Biology. 28(10). 1271–1277. 13 indexed citations

Cullinane, Marisa, et al.. (2002). Asymptomatic embolisation in non-valvular atrial fibrillation and its relationship to anticoagulation therapy. European Journal of Ultrasound. 15(1-2). 21–27. 14 indexed citations

Wolfe, Charles, et al.. (2001). Increased Common Carotid Intima-Media Thickness in UK African Caribbeans and Its Relation to Chronic Inflammation and Vascular Candidate Gene Polymorphisms. Stroke. 32(11). 2465–2471. 44 indexed citations

Cullinane, Marisa & Hugh S. Markus. (2001). Evaluation of a 1 MHz transducer for transcranial doppler ultrasound including embolic signal detection. Ultrasound in Medicine & Biology. 27(6). 795–800. 11 indexed citations

Cullinane, Marisa, Ralf Dittrich, Zoltán Káposzta, et al.. (2000). Evaluation of New Online Automated Embolic Signal Detection Algorithm, Including Comparison With Panel of International Experts. Stroke. 31(6). 1335–1341. 54 indexed citations

Lythgoe, David J., Steven Williams, Marisa Cullinane, & Hugh S. Markus. (1999). Mapping of cerebrovascular reactivity using bold magnetic resonance imaging. Magnetic Resonance Imaging. 17(4). 495–502. 65 indexed citations

Markus, Hugh S., et al.. (1999). Improved Automated Detection of Embolic Signals Using a Novel Frequency Filtering Approach. Stroke. 30(8). 1610–1615. 28 indexed citations

Cullinane, Marisa, et al.. (1998). Asymptomatic Embolization in Subjects With Atrial Fibrillation Not Taking Anticoagulants. Stroke. 29(9). 1810–1815. 59 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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