Jason Kennedy

3.3k total citations · 1 hit paper
43 papers, 585 citations indexed

About

Jason Kennedy is a scholar working on Epidemiology, Surgery and Critical Care and Intensive Care Medicine. According to data from OpenAlex, Jason Kennedy has authored 43 papers receiving a total of 585 indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Epidemiology, 13 papers in Surgery and 9 papers in Critical Care and Intensive Care Medicine. Recurrent topics in Jason Kennedy's work include Sepsis Diagnosis and Treatment (23 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Machine Learning in Healthcare (6 papers). Jason Kennedy is often cited by papers focused on Sepsis Diagnosis and Treatment (23 papers), Intensive Care Unit Cognitive Disorders (6 papers) and Machine Learning in Healthcare (6 papers). Jason Kennedy collaborates with scholars based in United States, Canada and France. Jason Kennedy's co-authors include Derek C. Angus, Christopher Seymour, Chung‐Chou H. Chang, Katherine M. Reitz, Gilles Clermont, Hernando Gómez, John A. Kellum, Sachin Yende, Jacob C. Jentzer and Patrick R. Lawler and has published in prestigious journals such as JAMA, Annals of Internal Medicine and Scientific Reports.

In The Last Decade

Jason Kennedy

39 papers receiving 575 citations

Hit Papers

Optimal Vasopressin Initiation in Septic Shock 2025 2026 2025 5 10 15
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. Optimal Vasopressin Initiation in Septic Shock
    2025 15 citations Jason Kennedy, Derek C. Angus et al. JAMA profile →

Peers

Jason Kennedy
Pierre François Laterre Belgium
Thomas Jack Germany
Ryoung‐Eun Ko South Korea
Azrina Ralib Malaysia
Siddharth Dugar United States
Joseph Harold Walline China
Rumi Ahmed Khan United States
John Asger Petersen Denmark
Gabriel Wardi United States
Simon Lambden United Kingdom
Pierre François Laterre Belgium
Jason Kennedy
Citations per year, relative to Jason Kennedy Jason Kennedy (= 1×) peers Pierre François Laterre

Countries citing papers authored by Jason Kennedy

Since Specialization
Citations

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

Fields of papers citing papers by Jason Kennedy

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jason Kennedy

This figure shows the co-authorship network connecting the top 25 collaborators of Jason Kennedy. A scholar is included among the top collaborators of Jason Kennedy 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 Jason Kennedy. Jason Kennedy 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.
Nauka, Peter C., Jason Kennedy, Emily Brant, et al.. (2025). Challenges with reinforcement learning model transportability for sepsis treatment in emergency care. npj Digital Medicine. 8(1). 91–91. 1 indexed citations
2.
Jarosinski, Marissa, Jason Kennedy, Kristina E. Rudd, et al.. (2025). Peripheral arterial disease prevalence among sepsis hospitalizations and associated outcomes. Journal of Vascular Surgery. 82(4). 1383–1391.e7.
3.
Amstel, Rombout B. E. van, Emma Rademaker, Jason Kennedy, et al.. (2025). Clinical subtypes in critically ill patients with sepsis: validation and parsimonious classifier model development. Critical Care. 29(1). 58–58. 4 indexed citations
4.
Kennedy, Jason, Michael Reznik, Bin Jiang, et al.. (2025). Optimizing Agreement Between Bedside Nurse-Documented and Trained Researcher Delirium Assessments in the ICU. Critical Care Medicine. 53(12). e2516–e2525.
5.
DeMerle, Kimberley M., Jason Kennedy, Chung-Chou H. Chang, et al.. (2024). Identification of a hyperinflammatory sepsis phenotype using protein biomarker and clinical data in the ProCESS randomized trial. Scientific Reports. 14(1). 6234–6234. 14 indexed citations
6.
Jarosinski, Marissa, Jason Kennedy, Edith Tzeng, et al.. (2024). Percutaneous thrombectomy for acute limb ischemia is associated with equivalent limb and mortality outcomes compared with open thrombectomy. Journal of Vascular Surgery. 79(5). 1151–1162.e3. 4 indexed citations
7.
Yu, Jia, Jason Kennedy, Nathan L. Liang, et al.. (2024). The association between frailty and outcomes following ruptured abdominal aortic aneurysm repair. Journal of Vascular Surgery. 80(2). 379–388.e3. 4 indexed citations
8.
Rio‐Pertuz, Gaspar Del, Priyanka Priyanka, A.J. Conrad Smith, et al.. (2024). Distribution of Acute and Chronic Kidney Disease Across Clinical Phenotypes for Sepsis. CHEST Journal. 166(3). 480–490. 7 indexed citations
9.
Kennedy, Jason, et al.. (2024). Cardiac Function Before Sepsis and Clinical Outcomes. JAMA. 331(17). 1496–1496. 7 indexed citations
10.
Jarosinski, Marissa, Jason Kennedy, Edith Tzeng, et al.. (2024). Contemporary National Incidence and Outcomes of Acute Limb Ischemia. Annals of Vascular Surgery. 110(Pt B). 224–235. 5 indexed citations
11.
Kennedy, Jason, et al.. (2024). Data-derived subtypes of delirium during critical illness. EBioMedicine. 100. 104942–104942. 8 indexed citations
12.
Kennedy, Jason, Katherine M. Reitz, Gary Phillips, et al.. (2023). Time to treatment and mortality for clinical sepsis subtypes. Critical Care. 27(1). 236–236. 14 indexed citations
13.
Seymour, Christopher, Kelly Urbanek, Jason Kennedy, et al.. (2023). A Prospective Cohort Protocol for the Remnant Investigation in Sepsis Study. Critical Care Explorations. 5(11). e0974–e0974. 1 indexed citations
14.
Soussi, Sabri, Divya Sharma, Peter Jüni, et al.. (2022). Identifying clinical subtypes in sepsis-survivors with different one-year outcomes: a secondary latent class analysis of the FROG-ICU cohort. Critical Care. 26(1). 114–114. 26 indexed citations
15.
Li, Shimena, Robert Handzel, Daniel A. Tonetti, et al.. (2022). Consensus Current Procedural Terminology Code Definition of Source Control for Sepsis. Journal of Surgical Research. 275. 327–335. 1 indexed citations
16.
Jentzer, Jacob C., Sabri Soussi, David D. Berg, et al.. (2022). Machine Learning Approaches for Phenotyping in Cardiogenic Shock and Critical Illness. JACC Advances. 1(4). 100126–100126. 22 indexed citations
17.
Zhao, Huiying, Jason Kennedy, Emily Brant, et al.. (2021). Revising Host Phenotypes of Sepsis Using Microbiology. Frontiers in Medicine. 8. 775511–775511. 8 indexed citations
18.
19.
Chang, Chung, et al.. (2020). Sepsis Phenotypes Are Dynamic and Associated with Long-Term Outcomes. A2591–A2591. 1 indexed citations
20.
Collinge, Cory A., Jason Kennedy, & Andrew H. Schmidt. (2010). Temporizing External Fixation of the Lower Extremity: A Survey of the Orthopaedic Trauma Association Membership. Orthopedics. 33(4). 239–244. 10 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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