Gabriel Birgand
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- Antibiotic Use and Resistance 35
- Molecular Medicine top 1%
- Antibiotic Resistance in Bacteria 24
- Health Informatics top 2%
- Clinical Biochemistry top 2%
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- Surgical site infection prevention 20
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- Infection Control in Healthcare 12
- Antimicrobial Resistance in Staphylococcus 9
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- Infection Control and Ventilation 12
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- Patient Satisfaction in Healthcare 11
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- COVID-19 and healthcare impacts 10
- Co-authors
- Jean‐Christophe LucetAlison HolmesFrançois-Xavier LescureRaheelah AhmadNathan Peiffer‐SmadjaTimothy M. RawsonPantelis GeorgiouAlbert Buchard
- Journals
- The Lancet (1 paper)SHILAP Revista de lepidopterología (2 papers)PLoS ONE (2 papers)
- Partner nations
- FranceUnited KingdomIndia
In The Last Decade
Gabriel Birgand
89 papers receiving 1.7k citations
Peers
Comparison fields: 5 of 141
- Applied Microbiology and Biotechnology 442
- Molecular Medicine 340
- Health Informatics 68
- Clinical Biochemistry 192
- Critical Care and Intensive Care Medicine 112
Countries citing papers authored by Gabriel Birgand
This map shows the geographic impact of Gabriel Birgand'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 Gabriel Birgand with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gabriel Birgand more than expected).
Fields of papers citing papers by Gabriel Birgand
This network shows the impact of papers produced by Gabriel Birgand. 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 Gabriel Birgand. The network helps show where Gabriel Birgand may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Gabriel Birgand, 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 | 2025 | 0 | |
| 4 | 2025 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2023 | 0 | |
| 7 | 2023 | 3 | |
| 8 | 2023 | 3 | |
| 9 | 2022 | 11 | |
| 10 | A Surveillance Framework for Healthcare Associated Infections and Antimicrobial Resistance in Acute Care in the Context of COVID-19: A Rapid Literature Review and Expert Consensus | 2021 | 3 |
| 11 | 2020 | 20 | |
| 12 | 2020 | 1 | |
| 13 | 2019 | 12 | |
| 14 | 2019 | 18 | |
| 15 | 2018 | 17 | |
| 16 | 2017 | 19 | |
| 17 | 2017 | 6 | |
| 18 | 2015 | 118 | |
| 19 | 2014 | 21 | |
| 20 | 2012 | 13 |
About Gabriel Birgand
Gabriel Birgand is a scholar working on Applied Microbiology and Biotechnology, Molecular Medicine and Infectious Diseases, having authored 99 papers that have together received 1.8k indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (35 papers), Antibiotic Resistance in Bacteria (24 papers), Surgical site infection prevention (20 papers), Infection Control in Healthcare (12 papers), Infection Control and Ventilation (12 papers), Patient Satisfaction in Healthcare (11 papers), COVID-19 and healthcare impacts (10 papers) and Antimicrobial Resistance in Staphylococcus (9 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (442 citations), Molecular Medicine (340 citations) and Health Informatics (68 citations). Gabriel Birgand has collaborated with scholars based in France, United Kingdom and India. Frequent co-authors include Jean‐Christophe Lucet, Alison Holmes, François-Xavier Lescure, Raheelah Ahmad, Nathan Peiffer‐Smadja, Timothy M. Rawson, Pantelis Georgiou, Albert Buchard, Laurence Armand-Lefèvre and Isabelle Lolom. Their work appears in journals such as The Lancet, SHILAP Revista de lepidopterología and PLoS ONE.
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.