Taura L. Barr

2.9k total citations
54 papers, 2.0k citations indexed

About

Taura L. Barr is a scholar working on Neurology, Epidemiology and Molecular Biology. According to data from OpenAlex, Taura L. Barr has authored 54 papers receiving a total of 2.0k indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Neurology, 13 papers in Epidemiology and 11 papers in Molecular Biology. Recurrent topics in Taura L. Barr's work include Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Acute Ischemic Stroke Management (11 papers) and S100 Proteins and Annexins (7 papers). Taura L. Barr is often cited by papers focused on Neuroinflammation and Neurodegeneration Mechanisms (16 papers), Acute Ischemic Stroke Management (11 papers) and S100 Proteins and Annexins (7 papers). Taura L. Barr collaborates with scholars based in United States, United Kingdom and South Korea. Taura L. Barr's co-authors include Jessica Gill, Paul D. Chantler, Ashley B. Petrone, Grant C. O’Connell, Steven Warach, Reyna VanGilder, Laurie A. Theeke, Yvette P. Conley, Jennifer Mallow and Tristin Baxter and has published in prestigious journals such as Neurology, Stroke and Scientific Reports.

In The Last Decade

Taura L. Barr

51 papers receiving 1.9k citations

Peers

Taura L. Barr

EPIDE

NEURO

HEALT

Elizabeth P. Crowe United States

Chen‐Tian Shen China

Masatoshi Inagaki Japan

Prashni Paliwal United States

Nicole M. Jones Australia

Xianwei Zeng China

James Marriott Canada

Sarah Kirby United Kingdom

Suvarna Alladi India

Thomas J. DeGraba United States

Elizabeth P. Crowe United States

Taura L. Barr

350 ×0.6

EPIDE

348 ×0.7

334 ×0.8

NEURO

76 ×0.3

NEURO

56 ×0.2

HEALT

Citations per year, relative to Taura L. Barr Taura L. Barr (= 1×) peers Elizabeth P. Crowe

Countries citing papers authored by Taura L. Barr

Since Specialization

Citations

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

Fields of papers citing papers by Taura L. Barr

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Taura L. Barr. 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 Taura L. Barr. The network helps show where Taura L. Barr may publish in the future.

Co-authorship network of co-authors of Taura L. Barr

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

All Works

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20 of 20 papers shown

Gillespie, Shannon L., et al.. (2023). The Ohio State University Dream Team: Innovation for Wellbeing Fellowship and Coaching Program. Journal of Clinical and Translational Science. 7(1). 1–20. 2 indexed citations

O’Connell, Grant C., Kyle Walsh, Suebsarn Ruksakulpiwat, et al.. (2022). Use of deep artificial neural networks to identify stroke during triage via subtle changes in circulating cell counts. BMC Neurology. 22(1). 206–206. 8 indexed citations

Barr, Taura L., et al.. (2021). A blueprint for nursing innovation centers. Nursing Outlook. 69(6). 969–981. 23 indexed citations

O’Connell, Grant C., Phillip Stafford, Kyle Walsh, Opeolu Adeoye, & Taura L. Barr. (2019). High-Throughput Profiling of Circulating Antibody Signatures for Stroke Diagnosis Using Small Volumes of Whole Blood. Neurotherapeutics. 16(3). 868–877. 6 indexed citations

O’Connell, Grant C., et al.. (2018). Shifts in Leukocyte Counts Drive the Differential Expression of Transcriptional Stroke Biomarkers in Whole Blood. Translational Stroke Research. 10(1). 26–35. 15 indexed citations

Hickey, Kathleen T., et al.. (2018). Nursing genetics and genomics: The International Society of Nurses in Genetics (ISONG) survey. Nurse Education Today. 63. 12–17. 24 indexed citations

McBride, Angela Barron, Jacquelyn C. Campbell, Taura L. Barr, et al.. (2017). The impact of the Nurse Faculty Scholars program on schools of nursing. Nursing Outlook. 65(3). 327–335. 16 indexed citations

O’Connell, Grant C., Paul D. Chantler, & Taura L. Barr. (2017). Stroke-associated pattern of gene expression previously identified by machine-learning is diagnostically robust in an independent patient population. Genomics Data. 14. 47–52. 24 indexed citations

O’Connell, Grant C., et al.. (2017). Monocyte-lymphocyte cross-communication via soluble CD163 directly links innate immune system activation and adaptive immune system suppression following ischemic stroke. Scientific Reports. 7(1). 12940–12940. 25 indexed citations

10.

O’Connell, Grant C., et al.. (2016). Machine-learning approach identifies a pattern of gene expression in peripheral blood that can accurately detect ischaemic stroke. npj Genomic Medicine. 1(1). 16038–16038. 48 indexed citations

11.

Reuter‐Rice, Karin, et al.. (2016). Rethinking Recovery. Holistic Nursing Practice. 31(1). 3–6. 7 indexed citations

12.

Mysliwiec, Vincent, Jessica Gill, Panagiotis Matsangas, et al.. (2015). IGF-1: a potential biomarker for efficacy of sleep improvement with automatic airway pressure therapy for obstructive sleep apnea?. Sleep And Breathing. 19(4). 1221–1228. 4 indexed citations

13.

Petrone, Ashley B., Grant C. O’Connell, Michael Regier, et al.. (2015). The Role of Arginase 1 in Post-Stroke Immunosuppression and Ischemic Stroke Severity. Translational Stroke Research. 7(2). 103–110. 38 indexed citations

14.

Gill, Jessica, et al.. (2014). Lower health related quality of life in U.S. military personnel is associated with service-related disorders and inflammation. Psychiatry Research. 216(1). 116–122. 43 indexed citations

15.

French, Louis M., Dan Wang, Hyunhwa Lee, et al.. (2014). Military Personnel with Chronic Symptoms Following Blast Traumatic Brain Injury Have Differential Expression of Neuronal Recovery and Epidermal Growth Factor Receptor Genes. Frontiers in Neurology. 5. 198–198. 22 indexed citations

16.

Lee, Hyunhwa, Whitney S. Livingston, Taura L. Barr, et al.. (2014). Sleep restoration is associated with reduced plasma C-reactive protein and depression symptoms in military personnel with sleep disturbance after deployment. Sleep Medicine. 15(12). 1565–1570. 29 indexed citations

17.

Mysliwiec, Vincent, Jessica Gill, Hyunhwa Lee, et al.. (2013). Prospective Observational Study of Military Personnel With Obstructive Sleep Apnea: Changes in Symptoms of Service Related Illnesses and IGF-1 Expression. CHEST Journal. 144(4). 989A–989A. 1 indexed citations

18.

Mysliwiec, Vincent, Jessica Gill, Hyunhwa Lee, et al.. (2013). Sleep Disorders in US Military Personnel. CHEST Journal. 144(2). 549–557. 145 indexed citations

19.

Brooks, Steven, Christopher L. Cummings, Reyna VanGilder, et al.. (2013). Admission neutrophil–lymphocyte ratio predicts 90 day outcome after endovascular stroke therapy. Journal of NeuroInterventional Surgery. 6(8). 578–583. 129 indexed citations

20.

VanGilder, Reyna, Danielle M. Davidov, Jason D. Huber, et al.. (2013). C-reactive protein and long-term ischemic stroke prognosis. Journal of Clinical Neuroscience. 21(4). 547–553. 73 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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