Laetitia Sütterlin
Impact in
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- Antibiotic Resistance in Bacteria
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- Venous Thromboembolism Diagnosis and Management
Papers in
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- Respiratory Support and Mechanisms 4
- Potassium and Related Disorders 1
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- COVID-19 Clinical Research Studies 2
- Co-authors
- Jean‐Emmanuel Hugonnet (2 shared papers)Jean‐Luc Mainardi (1 shared paper)Michel Arthur (2 shared papers)Bruno Mégarbane (8 shared papers)Sébastian Voicu (8 shared papers)Isabelle Malissin (6 shared papers)Nicolas Deye (7 shared papers)Fabrice Compain (1 shared paper)
- Journals
- Journal of Personalized Medicine (2 papers)Clinical Toxicology (2 papers)Journal of Infection (1 paper)Antimicrobial Agents and Chemotherapy (1 paper)ACS Infectious Diseases (1 paper)
- Partner nations
- France
In The Last Decade
Laetitia Sütterlin
9 papers receiving 67 citations
Peers
Comparison fields: 5 of 43
- Molecular Medicine 13
- Internal Medicine 7
- Infectious Diseases 24
- Emergency Medicine 10
- Critical Care and Intensive Care Medicine 2
Countries citing papers authored by Laetitia Sütterlin
This map shows the geographic impact of Laetitia Sütterlin'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 Laetitia Sütterlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Laetitia Sütterlin more than expected).
Fields of papers citing papers by Laetitia Sütterlin
This network shows the impact of papers produced by Laetitia Sütterlin. 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 Laetitia Sütterlin. The network helps show where Laetitia Sütterlin may publish in the future.
Co-authors
The 25 scholars most cited alongside Laetitia Sütterlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2017 | 28 | |
| 2 | 2020 | 8 | |
| 3 | 2021 | 8 | |
| 4 | 2019 | 6 | |
| 5 | Characteristics of deep vein thrombosis in the critically ill COVID-19 patient – an observational cohort study with Doppler ultrasound measurements | 2022 | 4 |
| 6 | 2022 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2022 | 4 | |
| 9 | 2022 | 1 | |
| 10 | 2025 | 0 |
About Laetitia Sütterlin
Laetitia Sütterlin is a scholar working on Pulmonary and Respiratory Medicine, Infectious Diseases, Critical Care and Intensive Care Medicine, Internal Medicine and Emergency Medicine, having authored 10 papers that have together received 67 indexed citations. Recurring topics across this work include Respiratory Support and Mechanisms (4 papers), Venous Thromboembolism Diagnosis and Management (2 papers), COVID-19 Clinical Research Studies (2 papers), Mechanical Circulatory Support Devices (2 papers), Pneumocystis jirovecii pneumonia detection and treatment (1 paper), Potassium and Related Disorders (1 paper), Intensive Care Unit Cognitive Disorders (1 paper) and Pneumonia and Respiratory Infections (1 paper). The work is most often cited by research in Molecular Medicine (13 citations), Internal Medicine (7 citations), Infectious Diseases (24 citations), Emergency Medicine (10 citations) and Critical Care and Intensive Care Medicine (2 citations). Laetitia Sütterlin has collaborated with scholars based in France. Frequent co-authors include Jean‐Emmanuel Hugonnet, Jean‐Luc Mainardi, Michel Arthur, Bruno Mégarbane, Sébastian Voicu, Isabelle Malissin, Nicolas Deye, Fabrice Compain, Clément Ourghanlian and Vincent Dubée. Their work appears in journals such as Journal of Personalized Medicine, Clinical Toxicology, Journal of Infection, Antimicrobial Agents and Chemotherapy and ACS Infectious Diseases.
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.