Marc Garnier
Impact in
-
- Antibiotic Use and Resistance
- Molecular Medicine top 5%
- Antibiotic Resistance in Bacteria
Papers in
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- Antibiotic Use and Resistance 6
- Co-authors
- Éric DaillyClaire Dahyot‐FizelierRomain GuilhaumouSihem BenaboudF. Lemaı̂treClaire RogerSylvain GoutelleSandrine Lefeuvre
- Journals
- Anaesthesia Critical Care & Pain Medicine (6 papers)Critical Care Medicine (3 papers)Scientific Reports (2 papers)BMC Anesthesiology (2 papers)Critical Care (2 papers)
- Partner nations
- FranceGuadeloupeUnited States
In The Last Decade
Marc Garnier
46 papers receiving 712 citations
Hit Papers
Peers
Comparison fields: 5 of 88
- Applied Microbiology and Biotechnology 116
- Molecular Medicine 159
- Pharmacology 316
- Critical Care and Intensive Care Medicine 60
- Clinical Biochemistry 55
Countries citing papers authored by Marc Garnier
This map shows the geographic impact of Marc Garnier'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 Marc Garnier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marc Garnier more than expected).
Fields of papers citing papers by Marc Garnier
This network shows the impact of papers produced by Marc Garnier. 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 Marc Garnier. The network helps show where Marc Garnier may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Marc Garnier, 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 | 2025 | 0 | |
| 2 | 2025 | 0 | |
| 3 | 2024 | 0 | |
| 4 | 2024 | 2 | |
| 5 | 2023 | 4 | |
| 6 | 2022 | 17 | |
| 7 | 2022 | 9 | |
| 8 | 2022 | 0 | |
| 9 | 2021 | 1 | |
| 10 | 2020 | 7 | |
| 11 | 2019 | 18 | |
| 12 | 2019 | 4 | |
| 13 | 2017 | 9 | |
| 14 | 2015 | 28 | |
| 15 | 2014 | 6 | |
| 16 | 2014 | 5 | |
| 17 | 2013 | 2 | |
| 18 | 2012 | 1 | |
| 19 | 2011 | 34 | |
| 20 | 2007 | 5 |
About Marc Garnier
Marc Garnier is a scholar working on Applied Microbiology and Biotechnology, Critical Care and Intensive Care Medicine, Molecular Medicine, Anesthesiology and Pain Medicine and Emergency Medicine, having authored 53 papers that have together received 732 indexed citations. Recurring topics across this work include Cardiac, Anesthesia and Surgical Outcomes (8 papers), Respiratory Support and Mechanisms (7 papers), COVID-19 Clinical Research Studies (7 papers), Pneumonia and Respiratory Infections (6 papers), Antibiotic Use and Resistance (6 papers), Anesthesia and Pain Management (5 papers), Antibiotic Resistance in Bacteria (5 papers) and Cardiac Arrest and Resuscitation (5 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (116 citations), Molecular Medicine (159 citations), Pharmacology (316 citations), Critical Care and Intensive Care Medicine (60 citations) and Clinical Biochemistry (55 citations). Marc Garnier has collaborated with scholars based in France, Guadeloupe and United States. Frequent co-authors include Éric Dailly, Claire Dahyot‐Fizelier, Romain Guilhaumou, Sihem Benaboud, F. Lemaı̂tre, Claire Roger, Sylvain Goutelle, Sandrine Lefeuvre, Julien Scala‐Bertola and Peggy Gandia. Their work appears in journals such as Anaesthesia Critical Care & Pain Medicine, Critical Care Medicine, Scientific Reports, BMC Anesthesiology and Critical Care.
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.