Lisa Barker

623 total citations
28 papers, 421 citations indexed

About

Lisa Barker is a scholar working on Public Health, Environmental and Occupational Health, General Health Professions and Physiology. According to data from OpenAlex, Lisa Barker has authored 28 papers receiving a total of 421 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Public Health, Environmental and Occupational Health, 7 papers in General Health Professions and 7 papers in Physiology. Recurrent topics in Lisa Barker's work include Simulation-Based Education in Healthcare (7 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Innovations in Medical Education (4 papers). Lisa Barker is often cited by papers focused on Simulation-Based Education in Healthcare (7 papers), Neurogenetic and Muscular Disorders Research (4 papers) and Innovations in Medical Education (4 papers). Lisa Barker collaborates with scholars based in United States, United Kingdom and Australia. Lisa Barker's co-authors include Sarah E Seaton, Bradley N Manktelow, Keith R. Abrams, Elizabeth S. Draper, C. Ralph Buncher, F. J. Samaha, Neena Modi, Barry S. Russman, Michael White and David Jenkins and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Allergy and Clinical Immunology.

In The Last Decade

Lisa Barker

27 papers receiving 414 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lisa Barker United States 10 106 105 104 102 86 28 421
Nui Dhepyasuwan United States 11 26 0.2× 158 1.5× 79 0.8× 111 1.1× 99 1.2× 24 488
K. P. Dawson United Arab Emirates 14 41 0.4× 173 1.6× 21 0.2× 32 0.3× 107 1.2× 43 461
Valerie Schulz Canada 10 24 0.2× 29 0.3× 54 0.5× 31 0.3× 98 1.1× 18 371
Bappa Adamu Nigeria 12 12 0.1× 26 0.2× 96 0.9× 52 0.5× 78 0.9× 42 412
Kristin Y. Shiue United States 10 36 0.3× 58 0.6× 39 0.4× 12 0.1× 35 0.4× 19 344
Joaquim Julià-Torras Spain 8 44 0.4× 118 1.1× 76 0.7× 65 0.6× 57 0.7× 35 281
Saju Joy United States 15 7 0.1× 46 0.4× 62 0.6× 211 2.1× 154 1.8× 32 549
Kevin Shi United States 9 11 0.1× 18 0.2× 32 0.3× 102 1.0× 38 0.4× 24 591
Reinhard Dortschy Germany 9 9 0.1× 27 0.3× 43 0.4× 81 0.8× 124 1.4× 13 405
Terri A. Slagle United States 12 24 0.2× 237 2.3× 88 0.8× 292 2.9× 34 0.4× 17 591

Countries citing papers authored by Lisa Barker

Since Specialization
Citations

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

Fields of papers citing papers by Lisa Barker

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Lisa Barker

This figure shows the co-authorship network connecting the top 25 collaborators of Lisa Barker. A scholar is included among the top collaborators of Lisa 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 Lisa Barker. Lisa Barker 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.
Barker, Lisa, Michael Meguerdichian, Sarah Janssens, et al.. (2025). Value-based simulation in healthcare: a new model for metrics reporting. Advances in Simulation. 10(1). 41–41.
2.
Barker, Lisa, et al.. (2024). Simulation-Debriefing Enhanced Needs Assessment to Address Quality Markers in Health Care: An Innovation for Prospective Hazard Analysis. The Joint Commission Journal on Quality and Patient Safety. 51(2). 144–158. 1 indexed citations
3.
Pacheco, Karin, et al.. (2020). Patterns of Methyl Methacrylate Sensitization in Patients Before or After Joint Replacement. Journal of Allergy and Clinical Immunology. 145(2). AB131–AB131. 1 indexed citations
4.
Barker, Lisa, et al.. (2020). A novel in situ simulation framework for introduction of a new technology: the 3-Act-3-Debrief model. SHILAP Revista de lepidopterología. 5(1). 25–25. 8 indexed citations
5.
Zhang, Ji, Jennifer Amos, Lisa Barker, et al.. (2019). Efficacy Study on Interactive Mixed Reality (IMR) Software with Sepsis Prevention Medical Education. University of Oulu Repository (University of Oulu). 664–670. 20 indexed citations
6.
Bond, William F., et al.. (2019). A Simple Low-Cost Method to Integrate Telehealth Interprofessional Team Members During In Situ Simulation. Simulation in Healthcare The Journal of the Society for Simulation in Healthcare. 14(2). 129–136. 9 indexed citations
7.
Seaton, Sarah E, Lisa Barker, Elizabeth S. Draper, et al.. (2018). Estimating neonatal length of stay for babies born very preterm. Archives of Disease in Childhood Fetal & Neonatal. 104(2). F182–F186. 59 indexed citations
8.
Hart, Danielle, William F. Bond, Jeffrey Siegelman, et al.. (2017). Simulation for Assessment of Milestones in Emergency Medicine Residents. Academic Emergency Medicine. 25(2). 205–220. 24 indexed citations
9.
Krzyzaniak, Sara, Stephen J. Wolf, Richard L. Byyny, et al.. (2016). A Qualitative Study of Medical Educators’ Perspectives on Resident Remediation. Western Journal of Emergency Medicine. 17. 2 indexed citations
10.
Krzyzaniak, Sara, Stephen J. Wolf, Richard L. Byyny, et al.. (2016). Barriers to the Remediation of Struggling Learners: A Qualitative Study. Western Journal of Emergency Medicine. 17. 2 indexed citations
11.
Seaton, Sarah E, Lisa Barker, David Jenkins, et al.. (2016). What factors predict length of stay in a neonatal unit: a systematic review. BMJ Open. 6(10). e010466–e010466. 62 indexed citations
12.
Seaton, Sarah E, Lisa Barker, Elizabeth S. Draper, et al.. (2016). Modelling Neonatal Care Pathways for Babies Born Preterm: An Application of Multistate Modelling. PLoS ONE. 11(10). e0165202–e0165202. 8 indexed citations
13.
14.
Barker, Lisa, et al.. (2013). Necrotising fasciitis with Escherichia coli in a newborn infant after abdominal surgery. Archives of Disease in Childhood Fetal & Neonatal. 98(5). F404–F404. 7 indexed citations
15.
Hafner, John W., et al.. (2012). “Stayin' Alive”: A Novel Mental Metronome to Maintain Compression Rates in Simulated Cardiac Arrests. Journal of Emergency Medicine. 43(5). e373–e377. 25 indexed citations
16.
17.
Barker, Lisa, et al.. (2008). 27: The Role of High-Fidelity Computerized Human Patient Simulation in Cardiopulmonary Resuscitation Training of Medical Providers. Annals of Emergency Medicine. 52(4). S50–S50. 1 indexed citations
18.
Samaha, F. J., C. Ralph Buncher, Barry S. Russman, et al.. (1994). Pulmonary Function in Spinal Muscular Atrophy. Journal of Child Neurology. 9(3). 326–329. 42 indexed citations
19.
Barker, Lisa, Joseph W. Cook, Barry S. Russman, et al.. (1992). Clinical Trials in Spinal Muscular Atrophy: Protocol Development and Reliability of Quantitative Strength Assessment Method. Neurorehabilitation and neural repair. 6(4). 175–183. 8 indexed citations
20.
Samaha, Frederick J., Jay D. Cook, Susan T. Iannaccone, et al.. (1990). Cooperative study for the assessment of therapeutic trials for the spinal muscular atrophies. Preliminary observations on the reliability of the DCN-SMA study group methodology. Muscle & Nerve. 13(S1). S11–S12. 4 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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