Sébastien Gibot
- Immunology top 0.5%
- Epidemiology top 1%
- Surgery top 5%
- Critical Care and Intensive Care Medicine top 0.5%
- Public Health, Environmental and Occupational Health top 2%
- Co-authors
- Pierre‐Édouard BollaertAurélie CravoisyG FauréBruno LévyMarie C. BénéDamien BarraudFrédéric MassinMarc Derive
- Topics
- Inflammation biomarkers and pathways (66 papers)Sepsis Diagnosis and Treatment (34 papers)Respiratory Support and Mechanisms (14 papers)
- 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
- Epidemiology 2.1k
- Surgery 890
- Critical Care and Intensive Care Medicine 824
- Public Health, Environmental and Occupational Health 821
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 of co-authors of Sébastien Gibot
This figure shows the co-authorship network connecting the top 25 collaborators of Sébastien Gibot. A scholar is included among the top collaborators of Sébastien Gibot 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 Sébastien Gibot. Sébastien Gibot is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 3 | |
| 2 | 14 | |
| 3 | 51 | |
| 4 | 6 | |
| 5 | 11 | |
| 6 | 17 | |
| 7 | 5 | |
| 8 | 8 | |
| 9 | 12 | |
| 10 | 76 | |
| 11 | 2 | |
| 12 | 106 | |
| 13 | Abstract 16204: Circulating Levels of sTREM-1 and Mortality in Patients With an Acute Myocardial Infarction | 2 |
| 14 | 6 | |
| 15 | 47 | |
| 16 | 213 | |
| 17 | 67 | |
| 18 | 11 | |
| 19 | 124 | |
| 20 | 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) and Respiratory Support and Mechanisms (14 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.