Clair Poignard
Impact in
- Biotechnology top 2%
- Microbial Inactivation Methods
- Physiology top 5%
- Magnetic and Electromagnetic Effects
Papers in
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- Microfluidic and Bio-sensing Technologies 31
-
- Microbial Inactivation Methods 37
- Co-authors
- Lluis M. Mir (9 shared papers)Aude Silve (10 shared papers)Isabelle Leray (2 shared papers)Ronan Perrussel (11 shared papers)Sébastien Benzekry (5 shared papers)Anne Rodallec (3 shared papers)Raphaëlle Fanciullino (2 shared papers)Michalis Mastri (2 shared papers)
- Journals
- IEEE Transactions on Magnetics (7 papers)Journal of Mathematical Biology (5 papers)Journal of Theoretical Biology (4 papers)Journal of Computational Physics (4 papers)Bioelectrochemistry (3 papers)
- Partner nations
- FranceGermanyUnited States
In The Last Decade
Clair Poignard
71 papers receiving 772 citations
Peers
Comparison fields: 5 of 103
- Biotechnology 319
- Physiology 99
- Modeling and Simulation 79
- Biomedical Engineering 328
- Mathematical Physics 69
Countries citing papers authored by Clair Poignard
This map shows the geographic impact of Clair Poignard'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 Clair Poignard with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Clair Poignard more than expected).
Fields of papers citing papers by Clair Poignard
This network shows the impact of papers produced by Clair Poignard. 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 Clair Poignard. The network helps show where Clair Poignard may publish in the future.
Co-authors
The 25 scholars most cited alongside Clair Poignard, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 77 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2020 | 100 | |
| 2 | 2016 | 73 | |
| 3 | 2014 | 57 | |
| 4 | 2017 | 35 | |
| 5 | 2015 | 29 | |
| 6 | 2012 | 27 | |
| 7 | 2019 | 27 | |
| 8 | 2018 | 26 | |
| 9 | 2010 | 24 | |
| 10 | 2015 | 23 | |
| 11 | 2008 | 21 | |
| 12 | 2013 | 18 | |
| 13 | 2008 | 17 | |
| 14 | 2016 | 16 | |
| 15 | 2009 | 14 | |
| 16 | 2007 | 14 | |
| 17 | 2018 | 14 | |
| 18 | 2007 | 14 | |
| 19 | 2020 | 13 | |
| 20 | 2016 | 13 |
About Clair Poignard
Clair Poignard is a scholar working on Biomedical Engineering, Biotechnology, Electrical and Electronic Engineering, Computational Theory and Mathematics and Physiology, having authored 77 papers that have together received 785 indexed citations. Recurring topics across this work include Microbial Inactivation Methods (37 papers), Microfluidic and Bio-sensing Technologies (31 papers), Advanced Mathematical Modeling in Engineering (13 papers), Magnetic and Electromagnetic Effects (12 papers), Electromagnetic Scattering and Analysis (10 papers), Mathematical Biology Tumor Growth (9 papers), Cellular Mechanics and Interactions (9 papers) and Numerical methods in inverse problems (8 papers). The work is most often cited by research in Biotechnology (319 citations), Physiology (99 citations), Modeling and Simulation (79 citations), Biomedical Engineering (328 citations) and Mathematical Physics (69 citations). Clair Poignard has collaborated with scholars based in France, Germany and United States. Frequent co-authors include Lluis M. Mir, Aude Silve, Isabelle Leray, Ronan Perrussel, Sébastien Benzekry, Anne Rodallec, Raphaëlle Fanciullino, Michalis Mastri, John M.L. Ebos and Jonathan P. Mochel. Their work appears in journals such as IEEE Transactions on Magnetics, Journal of Mathematical Biology, Journal of Theoretical Biology, Journal of Computational Physics and Bioelectrochemistry.
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.