Matthieu Pecquet
Impact in
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- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
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- Diabetes and associated disorders
Papers in
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- COVID-19 Clinical Research Studies 2
- SARS-CoV-2 and COVID-19 Research 2
- SARS-CoV-2 detection and testing 1
- Co-authors
- Lucien Marchand (1 shared paper)Xavier Charmetant (1 shared paper)Emmanuel Villar (1 shared paper)Jean-Christophe Souquet (1 shared paper)Jean‐François Aupetit (1 shared paper)Richard Cohen (1 shared paper)Sylvie Gonzalo (1 shared paper)Sylvie Radenne (1 shared paper)
- Journals
- Annals of Intensive Care (1 paper)Diagnostic Microbiology and Infectious Disease (1 paper)Journal of Clinical Microbiology (1 paper)Acta Diabetologica (1 paper)Clinical Nephrology (1 paper)
- Partner nations
- France
In The Last Decade
Matthieu Pecquet
8 papers receiving 131 citations
Peers
Comparison fields: 5 of 45
- Infectious Diseases 63
- Genetics 40
- Neurology 19
- Endocrinology, Diabetes and Metabolism 21
- Equine 1
Countries citing papers authored by Matthieu Pecquet
This map shows the geographic impact of Matthieu Pecquet'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 Matthieu Pecquet with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Matthieu Pecquet more than expected).
Fields of papers citing papers by Matthieu Pecquet
This network shows the impact of papers produced by Matthieu Pecquet. 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 Matthieu Pecquet. The network helps show where Matthieu Pecquet may publish in the future.
Co-authors
The 17 scholars most cited alongside Matthieu Pecquet, 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 | 2020 | 79 | |
| 2 | 2021 | 17 | |
| 3 | 2012 | 12 | |
| 4 | 2019 | 11 | |
| 5 | 2016 | 8 | |
| 6 | 2017 | 4 | |
| 7 | 2021 | 4 | |
| 8 | 2021 | 2 | |
| 9 | 2016 | 0 |
About Matthieu Pecquet
Matthieu Pecquet is a scholar working on Infectious Diseases, Pathology and Forensic Medicine, Social Psychology, Cardiology and Cardiovascular Medicine and Radiological and Ultrasound Technology, having authored 9 papers that have together received 137 indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (2 papers), SARS-CoV-2 and COVID-19 Research (2 papers), Diabetes Management and Research (1 paper), Lung Cancer Research Studies (1 paper), Antibiotic Use and Resistance (1 paper), SARS-CoV-2 detection and testing (1 paper), Diabetes and associated disorders (1 paper) and Bacterial Infections and Vaccines (1 paper). The work is most often cited by research in Infectious Diseases (63 citations), Genetics (40 citations), Neurology (19 citations), Endocrinology, Diabetes and Metabolism (21 citations) and Equine (1 citation). Matthieu Pecquet has collaborated with scholars based in France. Frequent co-authors include Lucien Marchand, Xavier Charmetant, Emmanuel Villar, Jean-Christophe Souquet, Jean‐François Aupetit, Richard Cohen, Sylvie Gonzalo, Sylvie Radenne, Philippe Gonzalo and Julien Lupo. Their work appears in journals such as Annals of Intensive Care, Diagnostic Microbiology and Infectious Disease, Journal of Clinical Microbiology, Acta Diabetologica and Clinical Nephrology.
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.