Kali Barrett

817 total citations
21 papers, 309 citations indexed

About

Kali Barrett is a scholar working on Modeling and Simulation, Epidemiology and Emergency Medicine. According to data from OpenAlex, Kali Barrett has authored 21 papers receiving a total of 309 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Modeling and Simulation, 5 papers in Epidemiology and 5 papers in Emergency Medicine. Recurrent topics in Kali Barrett's work include COVID-19 epidemiological studies (6 papers), Sepsis Diagnosis and Treatment (4 papers) and COVID-19 and healthcare impacts (4 papers). Kali Barrett is often cited by papers focused on COVID-19 epidemiological studies (6 papers), Sepsis Diagnosis and Treatment (4 papers) and COVID-19 and healthcare impacts (4 papers). Kali Barrett collaborates with scholars based in Canada, Brazil and United States. Kali Barrett's co-authors include Beate Sander, David Naimark, Stephen Mac, Yasín A. Khan, Damon C. Scales, Raphael Ximenes, Ruxandra Pinto, Abhijit Duggal, Aziz S. Alali and Draga Jichici and has published in prestigious journals such as Annals of Surgery, Critical Care Medicine and Journal of Clinical Epidemiology.

In The Last Decade

Kali Barrett

18 papers receiving 304 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Kali Barrett Canada 9 98 64 61 60 49 21 309
Mirco Nacoti Italy 9 55 0.6× 56 0.9× 35 0.6× 51 0.8× 26 0.5× 24 438
Abi Beane Thailand 10 59 0.6× 84 1.3× 44 0.7× 30 0.5× 31 0.6× 29 325
Johannes Mellinghoff United Kingdom 5 83 0.8× 46 0.7× 21 0.3× 46 0.8× 20 0.4× 9 366
Ankit Kumar Sahu India 9 68 0.7× 58 0.9× 15 0.2× 26 0.4× 39 0.8× 38 370
Julian Redhead United Kingdom 11 134 1.4× 31 0.5× 18 0.3× 36 0.6× 15 0.3× 17 364
Marco Vergano Italy 7 88 0.9× 19 0.3× 82 1.3× 75 1.3× 25 0.5× 18 324
Vaishal Tolia United States 10 83 0.8× 70 1.1× 35 0.6× 47 0.8× 11 0.2× 30 240
Peyman Saberian Iran 9 81 0.8× 38 0.6× 28 0.5× 24 0.4× 25 0.5× 47 248
Robert Owen Qatar 13 163 1.7× 98 1.5× 71 1.2× 17 0.3× 11 0.2× 22 395
Patricia Leung Hong Kong 7 59 0.6× 40 0.6× 49 0.8× 36 0.6× 44 0.9× 8 327

Countries citing papers authored by Kali Barrett

Since Specialization
Citations

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

Fields of papers citing papers by Kali Barrett

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kali Barrett

This figure shows the co-authorship network connecting the top 25 collaborators of Kali Barrett. A scholar is included among the top collaborators of Kali Barrett 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 Kali Barrett. Kali Barrett 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
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3.
Englesakis, Marina, et al.. (2025). Healthcare costs after sepsis: a systematic review. Critical Care. 29(1). 381–381.
4.
Barrett, Kali, Hannah Chung, Peter Dodek, et al.. (2024). High-cost users after sepsis: a population-based observational cohort study. Critical Care. 28(1). 338–338. 5 indexed citations
5.
Daneman, Nick, Gary Garber, Niranjan Kissoon, et al.. (2024). Sepsis policy, guidelines and standards in Canada: a jurisdictional scoping review protocol. BMJ Open. 14(2). e077909–e077909. 3 indexed citations
6.
Garber, Gary, Niranjan Kissoon, Laurie Proulx, et al.. (2024). Reducing the burden of preventable deaths from sepsis in Canada: A need for a national sepsis action plan. Healthcare Management Forum. 37(5). 366–370. 1 indexed citations
7.
Peel, John K., Eleanor Pullenayegum, Meghan Aversa, et al.. (2023). Evaluating the Impact of Ex Vivo Lung Perfusion on Organ Transplantation. Annals of Surgery. 278(2). 288–296. 14 indexed citations
8.
Peel, John K., Shaf Keshavjee, David Naimark, et al.. (2022). Determining the impact of ex-vivo lung perfusion on hospital costs for lung transplantation: A retrospective cohort study. The Journal of Heart and Lung Transplantation. 42(3). 356–367. 16 indexed citations
9.
Lau, Vincent, Jeffrey Johnson, Sean M. Bagshaw, et al.. (2022). Health-related quality-of-life and health-utility reporting in critical care. World Journal of Critical Care Medicine. 11(4). 236–245. 5 indexed citations
10.
Mac, Stephen, Kali Barrett, Yasín A. Khan, et al.. (2021). Demographic characteristics, acute care resource use and mortality by age and sex in patients with COVID-19 in Ontario, Canada: a descriptive analysis. CMAJ Open. 9(1). E271–E279. 1 indexed citations
11.
Naimark, David, Sharmistha Mishra, Kali Barrett, et al.. (2021). Simulation-Based Estimation of SARS-CoV-2 Infections Associated With School Closures and Community-Based Nonpharmaceutical Interventions in Ontario, Canada. JAMA Network Open. 4(3). e213793–e213793. 18 indexed citations
12.
Mac, Stephen, Sharmistha Mishra, Raphael Ximenes, et al.. (2020). Modeling the coronavirus disease 2019 pandemic: A comprehensive guide of infectious disease and decision-analytic models. Journal of Clinical Epidemiology. 132. 133–141. 7 indexed citations
13.
Iragorri, Nicolas, Carlos Gómez–Restrepo, Kali Barrett, et al.. (2020). COVID-19: Adaptation of a model to predict healthcare resource needs in Valle del Cauca, Colombia. Colombia medica. 51(3). e204534–e204534. 5 indexed citations
14.
Barrett, Kali, Yasín A. Khan, Petros Pechlivanoglou, et al.. (2020). Estimating healthcare resource needs for COVID-19 patients in Nigeria. Pan African Medical Journal. 37. 293–293. 3 indexed citations
15.
Tam, Derrick Y., David Naimark, Madhu K. Natarajan, et al.. (2020). The Use of Decision Modelling to Inform Timely Policy Decisions on Cardiac Resource Capacity During the COVID-19 Pandemic. Canadian Journal of Cardiology. 36(8). 1308–1312. 10 indexed citations
16.
Barrett, Kali, Yasín A. Khan, Stephen Mac, et al.. (2020). Estimation of COVID-19–induced depletion of hospital resources in Ontario, Canada. Canadian Medical Association Journal. 192(24). E640–E646. 66 indexed citations
17.
Barrett, Kali, et al.. (2020). Colorectal cancer referrals during the COVID-19 pandemic - a model for the faster diagnosis standard?. British journal of surgery. 107(11). e531–e532. 4 indexed citations
18.
Golan, Eyal, Kali Barrett, Aziz S. Alali, et al.. (2014). Predicting Neurologic Outcome After Targeted Temperature Management for Cardiac Arrest. Critical Care Medicine. 42(8). 1919–1930. 68 indexed citations
19.
Barrett, Kali, Niall D. Ferguson, Richard J. Cook, et al.. (2012). Surrogate decision makers’ attitudes towards research decision making for critically ill patients. Intensive Care Medicine. 38(10). 1616–1623. 28 indexed citations
20.
Scales, Damon C., Orla Smith, Ruxandra Pinto, et al.. (2009). Patients’ preferences for enrolment into critical-care trials. Intensive Care Medicine. 35(10). 1703–1712. 30 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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