Pascal Barbry
Impact in
- Infectious Diseases top 2%
- COVID-19 Clinical Research Studies
- SARS-CoV-2 and COVID-19 Research
- SARS-CoV-2 detection and testing
- Neurology top 5%
- Long-Term Effects of COVID-19
Papers in
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- Cellular Automata and Applications 1
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- COVID-19 Clinical Research Studies 1
- SARS-CoV-2 and COVID-19 Research 1
- Co-authors
- Raja Appuswamy (1 shared paper)Marc Antonini (1 shared paper)Marijn Berg (1 shared paper)Orestes A. Carpaij (1 shared paper)Anne Collin (1 shared paper)Ralph Stadhouders (1 shared paper)Remco Michiel Hoogenboezem (1 shared paper)Joachim G.J.V. Aerts (1 shared paper)
- Journals
- Journal of Cystic Fibrosis (1 paper)Cell (1 paper)PubMed (1 paper)HAL (Le Centre pour la Communication Scientifique Directe) (1 paper)
- Partner nations
- FranceGermanyNetherlands
In The Last Decade
Pascal Barbry
4 papers receiving 1.8k citations
Pascal Barbry's Hit Papers
Peers
Comparison fields: 5 of 102
- Infectious Diseases 1.2k
- Neurology 419
- Obstetrics and Gynecology 97
- Immunology 276
- Sensory Systems 47
Countries citing papers authored by Pascal Barbry
This map shows the geographic impact of Pascal Barbry'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 Pascal Barbry with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pascal Barbry more than expected).
Fields of papers citing papers by Pascal Barbry
This network shows the impact of papers produced by Pascal Barbry. 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 Pascal Barbry. The network helps show where Pascal Barbry may publish in the future.
Co-authors
The 16 scholars most cited alongside Pascal Barbry, 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 | SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues Hit paper breakdown → | 2020 | 1798 |
| 2 | 2026 | 3 | |
| 3 | DNA CODING FOR IMAGE STORAGE USING IMAGE COMPRESSION TECHNIQUES | 2018 | 2 |
| 4 | 2025 | 1 |
About Pascal Barbry
Pascal Barbry is a scholar working on Computational Theory and Mathematics, Infectious Diseases, Molecular Biology, Artificial Intelligence and Insect Science, having authored 4 papers that have together received 1.8k indexed citations. Recurring topics across this work include COVID-19 Clinical Research Studies (1 paper), SARS-CoV-2 and COVID-19 Research (1 paper), DNA and Biological Computing (1 paper), Algorithms and Data Compression (1 paper), Cellular Automata and Applications (1 paper) and Extracellular vesicles in disease (1 paper). The work is most often cited by research in Infectious Diseases (1.2k citations), Neurology (419 citations), Obstetrics and Gynecology (97 citations), Immunology (276 citations) and Sensory Systems (47 citations). Pascal Barbry has collaborated with scholars based in France, Germany and Netherlands. Frequent co-authors include Raja Appuswamy, Marc Antonini, Marijn Berg, Orestes A. Carpaij, Anne Collin, Ralph Stadhouders, Remco Michiel Hoogenboezem, Joachim G.J.V. Aerts, Maarten van den Berge and Menno van Nimwegen. Their work appears in journals such as Journal of Cystic Fibrosis, Cell, PubMed and HAL (Le Centre pour la Communication Scientifique Directe).
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.