Michael Phipps

3.0k total citations · 1 hit paper
64 papers, 2.0k citations indexed

About

Michael Phipps is a scholar working on Epidemiology, Internal Medicine and Pulmonary and Respiratory Medicine. According to data from OpenAlex, Michael Phipps has authored 64 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 42 papers in Epidemiology, 15 papers in Internal Medicine and 13 papers in Pulmonary and Respiratory Medicine. Recurrent topics in Michael Phipps's work include Acute Ischemic Stroke Management (39 papers), Venous Thromboembolism Diagnosis and Management (15 papers) and Cerebrovascular and Carotid Artery Diseases (13 papers). Michael Phipps is often cited by papers focused on Acute Ischemic Stroke Management (39 papers), Venous Thromboembolism Diagnosis and Management (15 papers) and Cerebrovascular and Carotid Artery Diseases (13 papers). Michael Phipps collaborates with scholars based in United States, Japan and Netherlands. Michael Phipps's co-authors include Carolyn Cronin, Jordan Grafman, Dawn M. Bravata, Marian A. Kroos, Rachel Palmer, Dicky Halley, Robert J. Pomponio, Marcella A. Wozniak, Charles M. Wharton and Leonid Kopylev and has published in prestigious journals such as PLoS ONE, Neurology and Stroke.

In The Last Decade

Michael Phipps

64 papers receiving 1.9k citations

Hit Papers

Management of acute ische... 2020 2026 2022 2024 2020 100 200 300 400

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Michael Phipps 661 354 310 293 276 64 2.0k
Subhash Kaul 836 1.3× 210 0.6× 462 1.5× 214 0.7× 408 1.5× 118 2.5k
Tapas Kumar Banerjee 494 0.7× 477 1.3× 552 1.8× 219 0.7× 93 0.3× 58 1.9k
Aleksandra Pavlović 321 0.5× 167 0.5× 272 0.9× 213 0.7× 241 0.9× 130 1.8k
Marios K. Georgakis 678 1.0× 256 0.7× 265 0.9× 273 0.9× 82 0.3× 100 3.2k
Tan Xu 751 1.1× 224 0.6× 244 0.8× 265 0.9× 68 0.2× 190 2.5k
Vida Demarin 836 1.3× 271 0.8× 610 2.0× 489 1.7× 153 0.6× 325 3.0k
Luciano A. Sposato 1.1k 1.7× 228 0.6× 468 1.5× 231 0.8× 212 0.8× 116 3.1k
L. Jaap Kappelle 509 0.8× 193 0.5× 811 2.6× 308 1.1× 442 1.6× 41 2.9k
Alexander Rae‐Grant 282 0.4× 392 1.1× 649 2.1× 375 1.3× 308 1.1× 56 3.5k
Warren Lo 712 1.1× 191 0.5× 581 1.9× 182 0.6× 191 0.7× 101 2.8k

Countries citing papers authored by Michael Phipps

Since Specialization
Citations

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

Fields of papers citing papers by Michael Phipps

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Michael Phipps

This figure shows the co-authorship network connecting the top 25 collaborators of Michael Phipps. A scholar is included among the top collaborators of Michael Phipps 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 Michael Phipps. Michael Phipps 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.
Chen, Huanwen, Marco Colasurdo, Michael Phipps, et al.. (2024). The BAND score: A simple model for upfront prediction of poor outcomes despite successful stroke thrombectomy. Journal of Stroke and Cerebrovascular Diseases. 33(5). 107608–107608. 5 indexed citations
2.
Chen, Huanwen, Marco Colasurdo, Jose Marino, et al.. (2024). Optimal Angiographic Goal and Number of Passes for Octogenarians Undergoing Endovascular Stroke Thrombectomy. World Neurosurgery. 186. e283–e289. 3 indexed citations
3.
Najafali, Daniel, et al.. (2023). Prediction of blood pressure variability during thrombectomy using supervised machine learning and outcomes of patients with ischemic stroke from large vessel occlusion. Journal of Thrombosis and Thrombolysis. 56(1). 12–26. 2 indexed citations
4.
Chen, Huanwen, Michael Phipps, Marco Colasurdo, et al.. (2023). Peri-procedural decrease in hemoglobin following mechanical thrombectomy for ischemic stroke. Interventional Neuroradiology. 3984281851–3984281851. 1 indexed citations
5.
Hou, Yan, Kathleen A. Ryan, Carolyn Cronin, et al.. (2022). Black-white Differences in Left Ventricular Hypertrophy Rates Among Young Adults with Ischemic Stroke. Journal of Stroke and Cerebrovascular Diseases. 31(8). 106628–106628. 2 indexed citations
6.
Phipps, Michael, et al.. (2021). The Maryland Acute Stroke Emergency Medical Services Routing Pilot: Expediting Access to Thrombectomy for Stroke. Frontiers in Neurology. 12. 663472–663472. 7 indexed citations
7.
Morris, Nicholas A., et al.. (2021). Development of Neurological Emergency Simulations for Assessment: Content Evidence and Response Process. Neurocritical Care. 35(2). 389–396. 11 indexed citations
8.
Phipps, Michael & Carolyn Cronin. (2020). Management of acute ischemic stroke. BMJ. 368. l6983–l6983. 426 indexed citations breakdown →
9.
Patel, Priya, Michael Phipps, Karen Yarbrough, et al.. (2020). Transport Blood Pressures and Outcomes in Stroke Patients Requiring Thrombectomy. Air Medical Journal. 39(3). 166–172. 4 indexed citations
10.
Tran, Quincy, Karen Yarbrough, Gaurav Jindal, et al.. (2019). Comparison of Outcomes After Treatment of Large Vessel Occlusion in a Critical Care Resuscitation Unit or a Neurocritical Care Unit. Neurocritical Care. 32(3). 725–733. 12 indexed citations
11.
Phipps, Michael, et al.. (2016). Recurrent extracranial internal carotid artery vasospasm associated with recreational marijuana use. Clinical Imaging. 43. 6–8. 3 indexed citations
12.
Sico, Jason J., Michael Phipps, John Concato, et al.. (2016). Using Radiological Data to Estimate Ischemic Stroke Severity. Journal of Stroke and Cerebrovascular Diseases. 25(4). 792–798. 3 indexed citations
14.
Phipps, Michael, et al.. (2013). Stroke severity and outcomes for octogenarians receiving statins. Archives of Gerontology and Geriatrics. 57(3). 377–382. 6 indexed citations
15.
Sico, Jason J., Michael Phipps, John Concato, et al.. (2012). Thrombocytopenia and In-hospital Mortality Risk among Ischemic Stroke Patients. Journal of Stroke and Cerebrovascular Diseases. 22(7). e99–e102. 17 indexed citations
16.
Phipps, Michael, Ania M. Jastreboff, Karen L. Furie, & Walter N. Kernan. (2012). The Diagnosis and Management of Cerebrovascular Disease in Diabetes. Current Diabetes Reports. 12(3). 314–323. 31 indexed citations
17.
Landman, Adam, et al.. (2011). Helmet use in Connecticut motorcycle crashes: a state without a universal helmet law.. PubMed. 75(5). 261–8. 6 indexed citations
18.
Sico, Jason J., Michael Phipps, H. Klar Yaggi, et al.. (2011). Ambulatory blood pressure monitoring among patients with cerebrovascular disease. Blood Pressure Monitoring. 16(5). 211–217. 4 indexed citations
19.
Zalla, Tiziana, Michael Phipps, & Jordan Grafman. (2002). Story Processing in Patients with Damage to the Prefrontal Cortex. Cortex. 38(2). 215–231. 21 indexed citations
20.
Carlin, Danielle J., et al.. (2000). Planning impairments in frontal lobe dementia and frontal lobe lesion patients. Neuropsychologia. 38(5). 655–665. 101 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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