Sarah LaRose

693 total citations
12 papers, 480 citations indexed

About

Sarah LaRose is a scholar working on Neurology, Pulmonary and Respiratory Medicine and Oncology. According to data from OpenAlex, Sarah LaRose has authored 12 papers receiving a total of 480 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Neurology, 3 papers in Pulmonary and Respiratory Medicine and 3 papers in Oncology. Recurrent topics in Sarah LaRose's work include Traumatic Brain Injury and Neurovascular Disturbances (7 papers), CAR-T cell therapy research (3 papers) and Acute Ischemic Stroke Management (3 papers). Sarah LaRose is often cited by papers focused on Traumatic Brain Injury and Neurovascular Disturbances (7 papers), CAR-T cell therapy research (3 papers) and Acute Ischemic Stroke Management (3 papers). Sarah LaRose collaborates with scholars based in United States, Portugal and Israel. Sarah LaRose's co-authors include Andrew D. Monk, Farzaneh A. Sorond, Henrikas Vaitkevicius, Karen Li, Caron A. Jacobson, Daniel B. Rubin, Kazuma Nakagawa, Lauren Spendley, Ali Basil Ali and Jorge M. Serrador and has published in prestigious journals such as Brain, Neurology and Stroke.

In The Last Decade

Sarah LaRose

11 papers receiving 478 citations

Peers

Sarah LaRose
Andrew D. Monk United States
Staci Martin United States
Hedieh Khalatbari United States
Yukui Wei China
Peter J. Madsen United States
Laura Baldassari United States
Emmanuel Obusez United States
Andrew D. Monk United States
Sarah LaRose
Citations per year, relative to Sarah LaRose Sarah LaRose (= 1×) peers Andrew D. Monk

Countries citing papers authored by Sarah LaRose

Since Specialization
Citations

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

Fields of papers citing papers by Sarah LaRose

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Sarah LaRose

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

All Works

12 of 12 papers shown
1.
Regenhardt, Robert W., Neal M. Nolan, Alvin S. Das, et al.. (2024). Transcranial Doppler cerebrovascular reactivity: Thresholds for clinical significance in cerebrovascular disease. Journal of Neuroimaging. 34(3). 348–355.
2.
Snider, Samuel B., Ibrahim Migdady, Sarah LaRose, et al.. (2021). Transcranial-Doppler-Measured Vasospasm Severity is Associated with Delayed Cerebral Infarction After Subarachnoid Hemorrhage. Neurocritical Care. 36(3). 815–821. 15 indexed citations
3.
Holroyd, Kathryn B., Daniel B. Rubin, Sarah LaRose, et al.. (2021). Use of Transcranial Doppler as a Biomarker of CAR T Cell–Related Neurotoxicity. Neurology Clinical Practice. 12(1). 22–28. 1 indexed citations
4.
Wu, Kuan-Cheng, John Sunwoo, Faheem Sheriff, et al.. (2021). Validation of diffuse correlation spectroscopy measures of critical closing pressure against transcranial Doppler ultrasound in stroke patients. Journal of Biomedical Optics. 26(3). 26 indexed citations
5.
Das, Alvin S., Robert W. Regenhardt, Sarah LaRose, et al.. (2020). Microembolic Signals Detected by Transcranial Doppler Predict Future Stroke and Poor Outcomes. Journal of Neuroimaging. 30(6). 882–889. 6 indexed citations
6.
Sheriff, Faheem, Pedro Castro, Mariel G. Kozberg, et al.. (2020). Dynamic Cerebral Autoregulation Post Endovascular Thrombectomy in Acute Ischemic Stroke. Brain Sciences. 10(9). 641–641. 22 indexed citations
7.
Rubin, Daniel B., Karen Li, Sarah LaRose, et al.. (2020). Clinical Predictors of Neurotoxicity After Chimeric Antigen Receptor T-Cell Therapy. JAMA Neurology. 77(12). 1536–1536. 78 indexed citations
8.
Rubin, Daniel B., Husain Danish, Ali Basil Ali, et al.. (2019). Neurological toxicities associated with chimeric antigen receptor T-cell therapy. Brain. 142(5). 1334–1348. 169 indexed citations
9.
Petersen, Nils, Amir A. Zamani, Rose Du, et al.. (2016). Pathophysiologic differences in cerebral autoregulation after subarachnoid hemorrhage. Neurology. 86(21). 1950–1956. 53 indexed citations
10.
Sorond, Farzaneh A., Can Ozan Tan, Sarah LaRose, et al.. (2015). Deferoxamine, Cerebrovascular Hemodynamics, and Vascular Aging. Stroke. 46(9). 2576–2583. 25 indexed citations
11.
Nakagawa, Kazuma, Jorge M. Serrador, Sarah LaRose, & Farzaneh A. Sorond. (2011). Dynamic cerebral autoregulation after intracerebral hemorrhage: A case-control study. BMC Neurology. 11(1). 108–108. 45 indexed citations
12.
Nakagawa, Kazuma, et al.. (2009). Autoregulation in the Posterior Circulation Is Altered by the Metabolic State of the Visual Cortex. Stroke. 40(6). 2062–2067. 40 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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