Clair Poignard

1.1k total citations
68 papers, 715 citations indexed

About

Clair Poignard is a scholar working on Biomedical Engineering, Biotechnology and Computational Theory and Mathematics. According to data from OpenAlex, Clair Poignard has authored 68 papers receiving a total of 715 indexed citations (citations by other indexed papers that have themselves been cited), including 35 papers in Biomedical Engineering, 30 papers in Biotechnology and 14 papers in Computational Theory and Mathematics. Recurrent topics in Clair Poignard's work include Microbial Inactivation Methods (30 papers), Microfluidic and Bio-sensing Technologies (27 papers) and Advanced Mathematical Modeling in Engineering (13 papers). Clair Poignard is often cited by papers focused on Microbial Inactivation Methods (30 papers), Microfluidic and Bio-sensing Technologies (27 papers) and Advanced Mathematical Modeling in Engineering (13 papers). Clair Poignard collaborates with scholars based in France, Germany and Japan. Clair Poignard's co-authors include Lluis M. Mir, Aude Silve, Isabelle Leray, Ronan Perrussel, Jonathan P. Mochel, John M.L. Ebos, Anne Rodallec, Joseph Ciccolini, Raphaëlle Fanciullino and Sébastien Benzekry and has published in prestigious journals such as SHILAP Revista de lepidopterología, Cancer Research and Scientific Reports.

In The Last Decade

Clair Poignard

62 papers receiving 701 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Clair Poignard France	15	321	281	123	112	94	68	715
Štefan Bálint Romania	17	213 0.7×	12 0.0×	9 0.1×	22 0.2×	351 3.7×	86	1.0k
Erick Moen United States	9	219 0.7×	107 0.4×	22 0.2×	53 0.5×	294 3.1×	15	976
Omid Bavi Iran	18	235 0.7×	6 0.0×	43 0.3×	29 0.3×	399 4.2×	53	908
Hongyan Liu China	17	67 0.2×	10 0.0×	16 0.1×	330 2.9×	268 2.9×	58	973
Dirk Lebiedz Germany	17	178 0.6×	3 0.0×	42 0.3×	33 0.3×	366 3.9×	46	947
Mustafa Sarimollaoglu United States	23	911 2.8×	24 0.1×	26 0.2×	84 0.8×	278 3.0×	42	1.3k
Xuhui Wang China	11	241 0.8×	22 0.1×	40 0.3×	83 0.7×	124 1.3×	49	589
Liang Ji China	10	97 0.3×	66 0.2×	22 0.2×	26 0.2×	223 2.4×	19	623
A. Fatih Sarioglu United States	17	746 2.3×	29 0.1×	3 0.0×	189 1.7×	266 2.8×	54	1.1k
Eugenia Corvera Poiré Mexico	15	264 0.8×	2 0.0×	18 0.1×	43 0.4×	189 2.0×	49	892

Countries citing papers authored by Clair Poignard

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Clair Poignard

This figure shows the co-authorship network connecting the top 25 collaborators of Clair Poignard. A scholar is included among the top collaborators of Clair Poignard based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Clair Poignard. Clair Poignard is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Sutter, Olivier, et al.. (2025). Toward perioperative, numerically assisted irreversible electroporation for hepatocellular carcinoma: clinical outcomes informed by numerical simulations. European Radiology.

Sutter, Olivier, et al.. (2025). Correlation between computed electric dose maps and early post-operative MRI for the evaluation of irreversible electroporation. Physics in Medicine and Biology. 70(22). 225010–225010.

Pescatori, Lorenzo, G. Nkontchou, Abou Diallo, et al.. (2025). The role of early MRI in assessing the risk of local tumor progression following irreversible electroporation for hepatocellular carcinoma treatment. International Journal of Hyperthermia. 42(1). 2505595–2505595.

Poignard, Clair, et al.. (2023). Phase-field model of bilipid membrane electroporation. Journal of Mathematical Biology. 87(1). 18–18. 1 indexed citations

García-Sánchez, Tomás, et al.. (2023). Deciphering Immediate Post-Pulse Membrane Resealing from 4-Electrode Impedance Measurements by Numerical Modeling. SPIRE - Sciences Po Institutional REpository. 5(4). 266–278. 1 indexed citations

Sutter, Olivier, et al.. (2022). Automated needle localisation for electric field computation during an electroporation ablation. HAL (Le Centre pour la Communication Scientifique Directe). 1279–1284. 1 indexed citations

Benzekry, Sébastien, et al.. (2022). Macro-scale models for fluid flow in tumour tissues: impact of microstructure properties. Journal of Mathematical Biology. 84(4). 27–27.

Senneville, Baudouin Denis de, et al.. (2019). Numerical workflow of irreversible electroporation for deep-seated tumor. Physics in Medicine and Biology. 64(5). 55016–55016. 23 indexed citations

Michel, Thomas, et al.. (2018). Mathematical modeling of the proliferation gradient in multicellular tumor spheroids. Journal of Theoretical Biology. 458. 133–147. 13 indexed citations

10.

Colin, Thierry, et al.. (2017). Tumor growth model of ductal carcinoma: from in situ phase to stroma invasion. Journal of Theoretical Biology. 429. 253–266. 7 indexed citations

11.

Silve, Aude, et al.. (2017). Dynamical modeling of tissue electroporation. Bioelectrochemistry. 119. 98–110. 32 indexed citations

12.

Natalini, Roberto, et al.. (2016). Mathematical model for transport of DNA plasmids from the external medium up to the nucleus by electroporation. Mathematical Biosciences. 285. 1–13. 5 indexed citations

13.

Lefebvre, Guillaume, et al.. (2016). Spatial modelling of tumour drug resistance: the case of GIST liver metastases. Mathematical Medicine and Biology A Journal of the IMA. 34(2). 151–176. 7 indexed citations

14.

Ohta, Masahito, et al.. (2016). Free boundary problem for cell protrusion formations: theoretical and numerical aspects. Journal of Mathematical Biology. 75(2). 263–307. 9 indexed citations

15.

Lei, Yifeng, et al.. (2015). Migration and orientation of endothelial cells on micropatterned polymers: A simple model based on classical mechanics. Discrete and Continuous Dynamical Systems - B. 20(4). 1059–1076. 2 indexed citations

16.

Silve, Aude, et al.. (2015). Cell membrane permeabilization by 12-ns electric pulses: Not a purely dielectric, but a charge-dependent phenomenon. Bioelectrochemistry. 106(Pt B). 369–378. 29 indexed citations

17.

Silve, Aude, et al.. (2014). Conducting and permeable states of cell membrane submitted to high voltage pulses: Mathematical and numerical studies validated by the experiments. Journal of Theoretical Biology. 360. 83–94. 53 indexed citations

18.

Colin, Thierry, et al.. (2013). Modeling of the migration of endothelial cells on bioactive micropatterned polymers. Mathematical Biosciences & Engineering. 10(4). 997–1015. 8 indexed citations

19.

Perrussel, Ronan, et al.. (2010). Influence of a Rough Thin Layer on the Potential. IEEE Transactions on Magnetics. 46(8). 2823–2826. 3 indexed citations

20.

Poignard, Clair, et al.. (2010). Ion fluxes, transmembrane potential, and osmotic stabilization: a new dynamic electrophysiological model for eukaryotic cells. European Biophysics Journal. 40(3). 235–246. 23 indexed citations

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.

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