Rachel Liu

3.4k total citations
47 papers, 785 citations indexed

About

Rachel Liu is a scholar working on Critical Care and Intensive Care Medicine, Radiology, Nuclear Medicine and Imaging and Surgery. According to data from OpenAlex, Rachel Liu has authored 47 papers receiving a total of 785 indexed citations (citations by other indexed papers that have themselves been cited), including 34 papers in Critical Care and Intensive Care Medicine, 29 papers in Radiology, Nuclear Medicine and Imaging and 12 papers in Surgery. Recurrent topics in Rachel Liu's work include Ultrasound in Clinical Applications (34 papers), Radiology practices and education (22 papers) and Radiation Dose and Imaging (15 papers). Rachel Liu is often cited by papers focused on Ultrasound in Clinical Applications (34 papers), Radiology practices and education (22 papers) and Radiation Dose and Imaging (15 papers). Rachel Liu collaborates with scholars based in United States, Canada and United Kingdom. Rachel Liu's co-authors include Christopher L. Moore, Joseph R. Pare, Richard A. Taylor, M. Kennedy Hall, Robert L. McNamara, Chris Moore, Grzegorz Toporek, Melissa Shaw, Balasundar I. Raju and Megan Leo and has published in prestigious journals such as SHILAP Revista de lepidopterología, Academic Medicine and JAMA Internal Medicine.

In The Last Decade

Rachel Liu

43 papers receiving 766 citations

Peers

Rachel Liu

CCICM

RNMI

SURGE

CCM

PRM

Lori Stolz United States

Daniel Schnobrich United States

Ole Christian Mjølstad Norway

Megan Leo United States

Scott J. Millington Canada

Chiara Gigli Italy

Robert A. Jones United States

Arthur Au United States

Valerio Stefanone Italy

Timothy Jang United States

Lori Stolz United States

Rachel Liu

455 ×0.8

CCICM

286 ×0.8

RNMI

355 ×1.8

SURGE

132 ×0.8

CCM

106 ×0.7

PRM

Citations per year, relative to Rachel Liu Rachel Liu (= 1×) peers Lori Stolz

Countries citing papers authored by Rachel Liu

Since Specialization

Citations

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

Fields of papers citing papers by Rachel Liu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Rachel Liu

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Liu, Rachel, James Pollock, Sanja Huibner, et al.. (2025). Quantitative profiling of the vaginal microbiota improves resolution of the microbiota-immune axis. Microbiome. 13(1). 39–39. 5 indexed citations

Bailitz, John, Ravi Agarwala, Madeline Jankowski, et al.. (2025). Artificial Intelligence–Guided Lung Ultrasound by Nonexperts. JAMA Cardiology. 10(3). 245–245. 9 indexed citations

Liu, Rachel, Ronald M. Galiwango, Daniel E. Park, et al.. (2025). Gardnerella vaginalis-binding IgA in the urethra of sexually experienced males. Microbiome. 13(1). 29–29.

Slade, Martin D., et al.. (2023). A Tool to Assess Competence in Critical Care Ultrasound Based on Entrustable Professional Activities. ATS Scholar. 4(1). 61–75. 5 indexed citations

Liu, Rachel, Melissa Gitman, Andrew M. Morris, & Miranda So. (2023). Going local: Evaluating guideline adherence and appropriateness of antibiotic prescribing in patients with febrile neutropenia at an academic teaching hospital. SHILAP Revista de lepidopterología. 3(1). e3–e3. 4 indexed citations

Liu, Rachel, et al.. (2023). Point of Care Abdominal Ultrasound. Seminars in Ultrasound CT and MRI. 45(1). 11–21. 2 indexed citations

Peterson, William, Jennifer Carnell, Jason T. Nomura, et al.. (2022). A consensus list of ultrasound competencies for graduating emergency medicine residents. AEM Education and Training. 6(6). e10817–e10817. 4 indexed citations

Lanspa, Michael J., Steven Fox, Siddharth Dugar, et al.. (2022). Definitive Advantages of Point-of-Care Ultrasound: A Case Series. CASE. 6(6). 293–298. 1 indexed citations

Liu, Rachel, et al.. (2022). Effect of Point-of-Care Ultrasound on Clinical Outcomes in Low-Resource Settings: A Systematic Review. Ultrasound in Medicine & Biology. 48(9). 1711–1719. 6 indexed citations

10.

Lewiss, Resa E., Lori Stolz, Marina Del Rios, et al.. (2022). Creating a more racial-ethnic inclusive clinical ultrasound community. The American Journal of Emergency Medicine. 54. 208–211.

11.

Coughlin, Ryan, et al.. (2021). Paramedic-performed Prehospital Point-of-care Ultrasound for Patients with Undifferentiated Dyspnea: A Pilot Study. Western Journal of Emergency Medicine. 22(3). 750–755. 20 indexed citations

12.

Toporek, Grzegorz, Seungsoo Kim, Rachel Liu, et al.. (2020). Automated Lung Ultrasound B-Line Assessment Using a Deep Learning Algorithm. IEEE Transactions on Ultrasonics Ferroelectrics and Frequency Control. 67(11). 2312–2320. 96 indexed citations

13.

Peterson, William, Arun Nagdev, Megan Leo, et al.. (2020). Defining an Ultrasound‐guided Regional Anesthesia Curriculum for Emergency Medicine. AEM Education and Training. 5(3). e10557–e10557. 14 indexed citations

14.

Marín, Jennifer R., et al.. (2020). Trends in Diagnostic Point-of-Care Ultrasonography Reimbursement for Medicare Beneficiaries Among the US Emergency Medicine Workforce, 2012 to 2016. Annals of Emergency Medicine. 76(5). 609–614. 6 indexed citations

15.

Moore, Chris, Patrick Moss, Kevin W. Dickey, et al.. (2019). AIUM Practice Parameter for the Use of Ultrasound to Guide Vascular Access Procedures. Journal of Ultrasound in Medicine. 38(3). E4–E18. 34 indexed citations

16.

Liu, Rachel, Sandy Bogucki, Evie G. Marcolini, et al.. (2019). Guiding Cardiopulmonary Resuscitation with Focused Echocardiography: A Report of Five Cases. Prehospital Emergency Care. 24(2). 297–302. 10 indexed citations

17.

Boulger, Creagh, Rachel Liu, Margaret Reed Lewis, et al.. (2018). A National Point‐of‐Care Ultrasound Competition for Medical Students. Journal of Ultrasound in Medicine. 38(1). 253–258. 6 indexed citations

18.

Liteplo, Andrew S., Kristin Carmody, J. Matthew Fields, Rachel Liu, & Resa E. Lewiss. (2018). SonoGames: Effect of an Innovative Competitive Game on the Education, Perception, and Use of Point‐of‐Care Ultrasound. Journal of Ultrasound in Medicine. 37(11). 2491–2496. 18 indexed citations

19.

Pare, Joseph R., Rachel Liu, Christopher Moore, & Basmah Safdar. (2016). Corrected flow time: a noninvasive ultrasound measure to detect preload reduction by nitroglycerin. The American Journal of Emergency Medicine. 34(9). 1859–1862. 4 indexed citations

20.

Taylor, Richard A., et al.. (2013). Point-of-Care Focused Cardiac Ultrasound for Prediction of Pulmonary Embolism Adverse Outcomes. Journal of Emergency Medicine. 45(3). 392–399. 28 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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