Leaderboards/Sepsis Diagnosis and Treatment

Sepsis Diagnosis and Treatment

Last updated July 15, 2026

Rising Stars

Fresh ink, massive impact

Researchers

1
Authia P Gray
Public Health Agency of Sweden
2
Mehmet Muzaffer Islam
Ümraniye Eğitim ve Araştırma Hastanesi
3
Aaron Boussina
University of California San Diego
4
Alexandre Kalimouttou
Grenoble Institute of Neurosciences
5
Supreeth P. Shashikumar
University of San Diego
6
Matthew L. Meizlish
Dana-Farber Cancer Institute
7
Anne-Françoise Rousseau
University of Liège
8
Hallie C. Prescott
University of Michigan
9
Suru Yue
Guangdong Medical College
10
Fahad Kamran
University of Michigan

Papers

1
Unraveling the clinical significance and prognostic value of the neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio, systemic immune-inflammation index, systemic inflammation response index, and delta neutrophil index
Turkish Journal of Emergency Medicine|2024
185 cit.
2
Impact of a deep learning sepsis prediction model on quality of care and survival
npj Digital Medicine|2024
137 cit.
3
Publication in The Lancet Global Health (2025) [103 citations, W4415426941]
The Lancet Global Health|2025
103 cit.
4
Mechanosensing regulates tissue repair program in macrophages
Science Advances|2024
89 cit.
5
Publication in NEJM AI (2024) [65 citations, W4391598924]
NEJM AI|2024
65 cit.
6
Optimal Vasopressin Initiation in Septic Shock
JAMA|2025
57 cit.
7
Large Language Models for More Efficient Reporting of Hospital Quality Measures
NEJM AI|2024
49 cit.
8
Publication in Critical Care Medicine (2026) [37 citations, W7140100880]
Critical Care Medicine|2026
37 cit.
9
Development and prospective implementation of a large language model based system for early sepsis prediction
npj Digital Medicine|2025
24 cit.
10
Publication in Critical Care Medicine (2026) [12 citations, W7140083370]
Critical Care Medicine|2026
12 cit.

Emerging Leaders

Drafting the new consensus

Researchers

1
Tom Pollard
Massachusetts Institute of Technology
2
Maarten van Smeden
Utrecht University
3
Ritankar Das
Calcutta National Medical College and Hospital
4
Yogendra Kanthi
National Heart Lung and Blood Institute
5
Alistair E. W. Johnson
Massachusetts Institute of Technology
6
Jana Hoffman
Dascena (United States)
7
Hallie C. Prescott
University of Michigan
8
L. Nelson Sanchez‐Pinto
Lurie Children's Hospital
9
Chanu Rhee
Brigham and Women's Hospital
10
Luuk Wieske
St. Antonius Ziekenhuis

Papers

1
MIMIC-IV, a freely accessible electronic health record dataset
Scientific Data|2023
2.8k cit.
2
PROBAST+AI: an updated quality, risk of bias, and applicability assessment tool for prediction models using regression or artificial intelligence methods
BMJ|2025
383 cit.
3
There is no such thing as a validated prediction model
BMC Medicine|2023
228 cit.
4
Development and Validation of the Phoenix Criteria for Pediatric Sepsis and Septic Shock
JAMA|2024
200 cit.
5
Critical appraisal of artificial intelligence-based prediction models for cardiovascular disease
European Heart Journal|2022
134 cit.
6
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Scientific Reports|2024
93 cit.
7
Endothelial Cell–Activating Antibodies in COVID‐19
Arthritis & Rheumatology|2022
81 cit.
8
Prediction of diabetic kidney disease with machine learning algorithms, upon the initial diagnosis of type 2 diabetes mellitus
BMJ Open Diabetes Research & Care|2022
77 cit.
9
Developing, validating, updating and judging the impact of prognostic models for respiratory diseases
European Respiratory Journal|2022
71 cit.
10
Five critical quality criteria for artificial intelligence-based prediction models
European Heart Journal|2023
69 cit.

Current Senior Leaders

Wrote the book, still writing it

Researchers

1
Derek C. Angus
University of Pittsburgh
2
Clifford S. Deutschman
Feinstein Institute for Medical Research
3
Jean‐Louis Vincent
Université Libre de Bruxelles
4
Rui P. Moreno
University of Beira Interior
5
Mitchell M. Levy
Brown University
6
Markus Müller
SIB Swiss Institute of Bioinformatics
7
Michael R. Pinsky
University of Pittsburgh
8
Roger G. Mark
Massachusetts Institute of Technology
9
Mohsen Naghavi
University of Washington
10
Rinaldo Bellomo
The University of Melbourne

Papers

1
The Third International Consensus Definitions for Sepsis and Septic Shock (Sepsis-3)
JAMA|2016
28k cit.
2
pROC: an open-source package for R and S+ to analyze and compare ROC curves
BMC Bioinformatics|2011
14k cit.
3
The SOFA (Sepsis-related Organ Failure Assessment) score to describe organ dysfunction/failure
Intensive Care Medicine|1996
11.6k cit.
4
Surviving Sepsis Campaign
Critical Care Medicine|2013
9.7k cit.
5
Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care
Critical Care Medicine|2001
8.6k cit.
6
MIMIC-III, a freely accessible critical care database
Scientific Data|2016
8.1k cit.
7
Global, regional, and national sepsis incidence and mortality, 1990–2017: analysis for the Global Burden of Disease Study
The Lancet|2020
7.7k cit.
8
Surviving Sepsis Campaign: International Guidelines for Management of Severe Sepsis and Septic Shock, 2012
Intensive Care Medicine|2013
7.3k cit.
9
Surviving sepsis campaign: international guidelines for management of sepsis and septic shock 2021
Intensive Care Medicine|2021
5k cit.
10
Surviving Sepsis Campaign: International guidelines for management of severe sepsis and septic shock: 2008
Intensive Care Medicine|2007
4.9k cit.

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