Hjalmar R. Bouma

University Medical Center Groningen

Netherlands

Research Interests

Explore related searches

Professors in Netherlands

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

Articles (10)

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Year:

2022

Collaborators (5)

Frederic Bouillaud

INSERM

FRANCE

View details

Vinod Kumar

Assistant Professor

Radboud University Medical Center

NETHERLANDS

View details

Jan C. ter Maaten

University Medical Center Groningen

NETHERLANDS

View details

Thomas Scheeren

Professor

University Medical Center Groningen

NETHERLANDS

View details

Robert Henning

Professor of Pharmacology

University Medical Center Groningen

NETHERLANDS

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Hjalmar R. Bouma

Research Interests

Explore related searches

Contact this professor

Articles (10)

The Novel Compound SUL-138 Counteracts Endothelial Cell and Kidney Dysfunction in Sepsis by Preserving Mitochondrial Function

GYY4137-Derived Hydrogen Sulfide Donates Electrons to the Mitochondrial Electron Transport Chain via Sulfide: Quinone Oxidoreductase in Endothelial Cells

Mild hypothermia during cardiopulmonary bypass assisted CABG is associated with improved short- and long-term survival, a 18-year cohort study

Plasma Free Thiol Levels during Early Sepsis Predict Future Renal Function Decline

Plasma proteomic characterization of the development of acute kidney injury in early sepsis patients

Prognostic value of serial score measurements of the national early warning score, the quick sequential organ failure assessment and the systemic inflammatory response syndrome to predict clinical outcome in early sepsis

Hospital-related costs of sepsis around the world

Association between oxidized nucleobases and mitochondrial DNA damage with long-term mortality in patients with sepsis

New clinical prediction model for early recognition of sepsis in adult primary care patients: a prospective diagnostic cohort study of development and external validation

Predicting sepsis severity at first clinical presentation: The role of endotypes and mechanistic signatures

Collaborators (5)

Frederic Bouillaud

Vinod Kumar

Jan C. ter Maaten

Thomas Scheeren

Robert Henning

Make your next move.