Sébastien Gibot
- Immunology top 0.5%
- Inflammation biomarkers and pathways 66
- Immune Response and Inflammation 10
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- Intensive Care Unit Cognitive Disorders 11
- Nosocomial Infections in ICU 9
- Epidemiology top 1%
- Sepsis Diagnosis and Treatment 34
- Health Information Management top 0.5%
- Methodologies in Health Research and Practice 8
- Nephrology top 2%
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- Respiratory Support and Mechanisms 14
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- Apelin-related biomedical research 10
- Co-authors
- Pierre‐Édouard BollaertAurélie CravoisyG FauréBruno LévyMarie C. BénéDamien BarraudFrédéric MassinMarc Derive
- Partner nations
- FranceUnited StatesNetherlands
In The Last Decade
Sébastien Gibot
123 papers receiving 6.0k citations
Peers
Comparison fields: 5 of 131
- Immunology 3.5k
- Critical Care and Intensive Care Medicine 824
- Epidemiology 2.1k
- Health Information Management 257
- Nephrology 363
Countries citing papers authored by Sébastien Gibot
This map shows the geographic impact of Sébastien Gibot'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 Sébastien Gibot with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sébastien Gibot more than expected).
Fields of papers citing papers by Sébastien Gibot
This network shows the impact of papers produced by Sébastien Gibot. 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 Sébastien Gibot. The network helps show where Sébastien Gibot may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Sébastien Gibot, 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 | 2023 | 3 | |
| 2 | 2023 | 14 | |
| 3 | 2021 | 51 | |
| 4 | 2021 | 6 | |
| 5 | 2021 | 11 | |
| 6 | 2020 | 17 | |
| 7 | 2020 | 5 | |
| 8 | 2019 | 8 | |
| 9 | 2018 | 12 | |
| 10 | 2018 | 76 | |
| 11 | 2018 | 2 | |
| 12 | 2015 | 106 | |
| 13 | Abstract 16204: Circulating Levels of sTREM-1 and Mortality in Patients With an Acute Myocardial Infarction | 2014 | 2 |
| 14 | 2013 | 6 | |
| 15 | 2013 | 47 | |
| 16 | 2012 | 213 | |
| 17 | 2010 | 67 | |
| 18 | 2008 | 11 | |
| 19 | 2004 | 124 | |
| 20 | 2004 | 319 |
About Sébastien Gibot
Sébastien Gibot is a scholar working on Critical Care and Intensive Care Medicine, Immunology and Health Information Management, having authored 127 papers that have together received 6.2k indexed citations. Recurring topics across this work include Inflammation biomarkers and pathways (66 papers), Sepsis Diagnosis and Treatment (34 papers), Respiratory Support and Mechanisms (14 papers), Intensive Care Unit Cognitive Disorders (11 papers), Apelin-related biomedical research (10 papers), Immune Response and Inflammation (10 papers), Nosocomial Infections in ICU (9 papers) and Methodologies in Health Research and Practice (8 papers). The work is most often cited by research in Immunology (3.5k citations), Critical Care and Intensive Care Medicine (824 citations) and Epidemiology (2.1k citations). Sébastien Gibot has collaborated with scholars based in France, United States and Netherlands. Frequent co-authors include Pierre‐Édouard Bollaert, Aurélie Cravoisy, G Fauré, Bruno Lévy, Marie C. Béné, Bruno Lévy, Damien Barraud, Frédéric Massin, Marc Derive and Marie‐Nathalie Kolopp‐Sarda. Their work appears in journals such as New England Journal of Medicine, The Lancet and JAMA.
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.