Lori D. Bash

3.1k total citations
54 papers, 2.2k citations indexed

About

Lori D. Bash is a scholar working on Cardiology and Cardiovascular Medicine, Surgery and Anesthesiology and Pain Medicine. According to data from OpenAlex, Lori D. Bash has authored 54 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 32 papers in Cardiology and Cardiovascular Medicine, 16 papers in Surgery and 11 papers in Anesthesiology and Pain Medicine. Recurrent topics in Lori D. Bash's work include Anesthesia and Sedative Agents (11 papers), Lipoproteins and Cardiovascular Health (10 papers) and Blood Pressure and Hypertension Studies (8 papers). Lori D. Bash is often cited by papers focused on Anesthesia and Sedative Agents (11 papers), Lipoproteins and Cardiovascular Health (10 papers) and Blood Pressure and Hypertension Studies (8 papers). Lori D. Bash collaborates with scholars based in United States, United Kingdom and Germany. Lori D. Bash's co-authors include Brad C. Astor, Josef Coresh, Elizabeth Selvin, Kunihiro Matsushita, Nora Franceschini, Daniel J. Brotman, Joe Coresh, Leif Saager, Morgan E. Grams and Yaping Wang and has published in prestigious journals such as Circulation, SHILAP Revista de lepidopterología and Journal of the American College of Cardiology.

In The Last Decade

Lori D. Bash

46 papers receiving 2.1k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Lori D. Bash United States 22 911 740 486 337 269 54 2.2k
Brett Hiebert Canada 25 827 0.9× 463 0.6× 480 1.0× 87 0.3× 173 0.6× 123 2.3k
Louise Roy Canada 25 395 0.4× 899 1.2× 417 0.9× 111 0.3× 383 1.4× 55 2.6k
Samira Bell United Kingdom 22 274 0.3× 791 1.1× 339 0.7× 203 0.6× 40 0.1× 78 1.9k
Jingrong Yang United States 23 1.1k 1.2× 612 0.8× 276 0.6× 197 0.6× 18 0.1× 50 2.7k
Bruce Keogh United Kingdom 30 1.4k 1.5× 168 0.2× 1.0k 2.1× 178 0.5× 43 0.2× 73 3.2k
Leopoldo Soares Piegas Brazil 22 2.5k 2.7× 466 0.6× 711 1.5× 1.0k 3.1× 25 0.1× 96 3.5k
Eric N. van Roon Netherlands 25 152 0.2× 368 0.5× 640 1.3× 78 0.2× 67 0.2× 92 2.0k
Tomás Corcoran Australia 26 1.0k 1.1× 217 0.3× 1.4k 2.9× 99 0.3× 247 0.9× 79 2.3k
Jonathan D. Casey United States 21 203 0.2× 529 0.7× 516 1.1× 76 0.2× 198 0.7× 87 2.2k
John F. Robb United States 33 2.9k 3.2× 413 0.6× 2.4k 4.9× 80 0.2× 198 0.7× 65 4.4k

Countries citing papers authored by Lori D. Bash

Since Specialization
Citations

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

Fields of papers citing papers by Lori D. Bash

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Lori D. Bash. 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 Lori D. Bash. The network helps show where Lori D. Bash may publish in the future.

Co-authorship network of co-authors of Lori D. Bash

This figure shows the co-authorship network connecting the top 25 collaborators of Lori D. Bash. A scholar is included among the top collaborators of Lori D. Bash 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 Lori D. Bash. Lori D. Bash 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.
Leiter, Lawrence A., et al.. (2025). Optimizing low-density lipoprotein cholesterol (LDL-C) management – a US physician survey of barriers and burdens. American Journal of Preventive Cardiology. 25. 101386–101386.
3.
Alexander, G. Caleb, Jill Curran, Hemalkumar B. Mehta, et al.. (2025). US Public Health Gains from Improved Treatment of Hypercholesterolemia: A Simulation Study of NHANES Adults Treated to Guideline-Directed Therapy. Journal of General Internal Medicine. 1 indexed citations
4.
Greene, Stephen J., Hanna K. Gaggin, Lori D. Bash, et al.. (2025). Cardiologist-Reported Reasons for Not Titrating Guideline-Directed Medical Therapy for Heart Failure with Reduced Ejection Fraction. Journal of Cardiac Failure. 31(8). 1365–1369.
5.
Coyle, Catelyn, Lori D. Bash, Dena Rosen Ramey, et al.. (2024). Major Bleeding Rates in an International Cohort of Patients With End-Stage Kidney Disease. Kidney International Reports. 9(9). 2814–2818.
7.
Greco, Massimiliano, Giovanni Angelotti, Romina Aceto, et al.. (2023). REVersal of nEuromusculAr bLocking Agents in Patients Undergoing General Anaesthesia (REVEAL Study). Journal of Clinical Medicine. 12(2). 563–563. 1 indexed citations
9.
Bash, Lori D., Vladimir Turzhitsky, Robert J. Mark, Ira Hofer, & Toby N. Weingarten. (2023). Post-operative urinary retention is impacted by neuromuscular block reversal agent choice: A retrospective cohort study in US hospital setting. Journal of Clinical Anesthesia. 93. 111344–111344. 8 indexed citations
10.
Jiang, Yiling, Lori D. Bash, & Leif Saager. (2021). A Clinical and Budgetary Impact Analysis of Introducing Sugammadex for Routine Reversal of Neuromuscular Blockade in a Hypothetical Cohort in the US. Advances in Therapy. 38(5). 2689–2708. 9 indexed citations
11.
Kheterpal, Sachin, Michelle T. Vaughn, Timur Dubovoy, et al.. (2020). Sugammadex versus Neostigmine for Reversal of Neuromuscular Blockade and Postoperative Pulmonary Complications (STRONGER). Anesthesiology. 132(6). 1371–1381. 171 indexed citations
12.
Raval, Amit D., et al.. (2020). Epidemiology and outcomes of residual neuromuscular blockade: A systematic review of observational studies. Journal of Clinical Anesthesia. 66. 109962–109962. 17 indexed citations
13.
Bash, Lori D., Kellee White, Mehul D. Patel, et al.. (2019). Cardiovascular Risk Factors and Secondary Events Among Acute and Chronic Stable Myocardial Infarction Patients: Findings from a Managed Care Database. Cardiology and Therapy. 8(2). 329–343. 4 indexed citations
14.
Ferrières, Jean, Dominik Lautsch, Baishali Ambegaonkar, et al.. (2018). Use of guideline-recommended management in established coronary heart disease in the observational DYSIS II study. International Journal of Cardiology. 270. 21–27. 9 indexed citations
15.
Williams, Brent A., Kevin Chagin, Lori D. Bash, et al.. (2018). External validation of the TIMI risk score for secondary cardiovascular events among patients with recent myocardial infarction. Atherosclerosis. 272. 80–86. 23 indexed citations
16.
Gitt, Anselm K., Dominik Lautsch, Jean Ferrières, et al.. (2017). Contemporary data on treatment practices for low-density lipoprotein cholesterol in 3867 patients who had suffered an acute coronary syndrome across the world. Data in Brief. 16. 369–375. 5 indexed citations
18.
Jaffer, Amir K., et al.. (2010). Variations in Perioperative Warfarin Management: Outcomes and Practice Patterns at Nine Hospitals. The American Journal of Medicine. 123(2). 141–150. 47 indexed citations
19.
Matsushita, Kunihiro, Elizabeth Selvin, Lori D. Bash, et al.. (2009). Change in Estimated GFR Associates with Coronary Heart Disease and Mortality. Journal of the American Society of Nephrology. 20(12). 2617–2624. 204 indexed citations
20.
Bash, Lori D., Brad C. Astor, & Josef Coresh. (2009). Risk of Incident ESRD: A Comprehensive Look at Cardiovascular Risk Factors and 17 Years of Follow-up in the Atherosclerosis Risk in Communities (ARIC) Study. American Journal of Kidney Diseases. 55(1). 31–41. 81 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.

Explore authors with similar magnitude of impact

Rankless by CCL
2026