Marie Doumic

1.2k total citations
47 papers, 679 citations indexed

About

Marie Doumic is a scholar working on Molecular Biology, Modeling and Simulation and Physiology. According to data from OpenAlex, Marie Doumic has authored 47 papers receiving a total of 679 indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 12 papers in Modeling and Simulation and 9 papers in Physiology. Recurrent topics in Marie Doumic's work include Mathematical Biology Tumor Growth (11 papers), Prion Diseases and Protein Misfolding (10 papers) and Alzheimer's disease research and treatments (6 papers). Marie Doumic is often cited by papers focused on Mathematical Biology Tumor Growth (11 papers), Prion Diseases and Protein Misfolding (10 papers) and Alzheimer's disease research and treatments (6 papers). Marie Doumic collaborates with scholars based in France, Spain and Austria. Marie Doumic's co-authors include Pierre Gabriel, Marc Hoffmann, Lydia Robert, Miguel Escobedo, Benoı̂t Perthame, Patricia Reynaud-Bouret, Stéphane Aymerich, Jérôme Robert, Jorge P. Zubelli and Julien Chevallier and has published in prestigious journals such as Nature Communications, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Marie Doumic

46 papers receiving 654 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marie Doumic France 15 262 145 131 86 70 47 679
Serge Cohen France 15 505 1.9× 139 1.0× 34 0.3× 42 0.5× 45 0.6× 52 1.3k
Ludvig Lizana Sweden 16 385 1.5× 131 0.9× 133 1.0× 11 0.1× 231 3.3× 45 849
Ryszard Rudnicki Poland 22 328 1.3× 319 2.2× 448 3.4× 35 0.4× 145 2.1× 109 1.8k
Ronny Straube Germany 14 515 2.0× 94 0.6× 22 0.2× 12 0.1× 145 2.1× 31 664
Sean D. Lawley United States 17 517 2.0× 195 1.3× 23 0.2× 10 0.1× 300 4.3× 75 792
Pierre Gabriel France 16 75 0.3× 750 5.2× 79 0.6× 13 0.2× 205 2.9× 30 1.6k
Bogdan Kaźmierczak Poland 13 261 1.0× 33 0.2× 170 1.3× 13 0.2× 41 0.6× 61 604
Volkmar Liebscher Germany 18 439 1.7× 106 0.7× 11 0.1× 18 0.2× 35 0.5× 63 1.0k
Élisabeth Rémy France 20 1.2k 4.5× 66 0.5× 29 0.2× 25 0.3× 71 1.0× 55 1.6k
Samuel A. Isaacson United States 15 482 1.8× 71 0.5× 94 0.7× 6 0.1× 120 1.7× 29 637

Countries citing papers authored by Marie Doumic

Since Specialization
Citations

This map shows the geographic impact of Marie Doumic'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 Marie Doumic with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Marie Doumic more than expected).

Fields of papers citing papers by Marie Doumic

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Marie Doumic. 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 Marie Doumic. The network helps show where Marie Doumic may publish in the future.

Co-authorship network of co-authors of Marie Doumic

This figure shows the co-authorship network connecting the top 25 collaborators of Marie Doumic. A scholar is included among the top collaborators of Marie Doumic 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 Marie Doumic. Marie Doumic is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Escobedo, Miguel, et al.. (2021). Insights into the dynamic trajectories of protein filament division revealed by numerical investigation into the mathematical model of pure fragmentation. PLoS Computational Biology. 17(9). e1008964–e1008964. 10 indexed citations
2.
Doumic, Marie, et al.. (2021). A mathematical model of p62-ubiquitin aggregates in autophagy. Journal of Mathematical Biology. 84(1-2). 3–3. 3 indexed citations
3.
Doumic, Marie, et al.. (2021). Telomere shortening causes distinct cell division regimes during replicative senescence in Saccharomyces cerevisiae. Cell & Bioscience. 11(1). 180–180. 5 indexed citations
4.
Doumic, Marie, et al.. (2020). A purely mechanical model with asymmetric features for early\n morphogenesis of rod-shaped bacteria micro-colony. arXiv (Cornell University). 9 indexed citations
5.
Beal, David M., et al.. (2020). The Division of Amyloid Fibrils: Systematic Comparison of Fibril Fragmentation Stability by Linking Theory with Experiments. iScience. 23(9). 101512–101512. 18 indexed citations
6.
Doumic, Marie, et al.. (2020). Estimating the division rate from indirect measurements of single cells. Discrete and Continuous Dynamical Systems - B. 25(10). 3931–3961. 2 indexed citations
7.
Torrent, Joan, Davy Martin, Sylvie Noinville, et al.. (2019). Pressure Reveals Unique Conformational Features in Prion Protein Fibril Diversity. Scientific Reports. 9(1). 2802–2802. 8 indexed citations
8.
Laferrière, Florent, Mohammed Moudjou, Laëtitia Herzog, et al.. (2019). Early stage prion assembly involves two subpopulations with different quaternary structures and a secondary templating pathway. Communications Biology. 2(1). 363–363. 15 indexed citations
9.
Moireau, Philippe, et al.. (2017). The mechanism of monomer transfer between two structurally distinct PrP oligomers. PLoS ONE. 12(7). e0180538–e0180538. 5 indexed citations
10.
Escobedo, Miguel & Marie Doumic. (2016). Time asymptotics for a critical case in fragmentation and growth-fragmentation equations. Kinetic and Related Models. 9(2). 251–297. 20 indexed citations
11.
Banks, H. T., et al.. (2016). A numerical scheme for the early steps of nucleation-aggregation models. Journal of Mathematical Biology. 74(1-2). 259–287. 1 indexed citations
12.
Banks, H. T., et al.. (2015). Information content in data sets for a nucleated-polymerization model. Journal of Biological Dynamics. 9(1). 172–197. 8 indexed citations
13.
Bourgeron, Thomas, Zhou Xu, Marie Doumic, & Maria Teresa Teixeira. (2015). The asymmetry of telomere replication contributes to replicative senescence heterogeneity. Scientific Reports. 5(1). 15326–15326. 24 indexed citations
14.
Prigent, Stéphanie, et al.. (2014). SIZE DISTRIBUTION OF AMYLOID FIBRILS. MATHEMATICAL MODELS AND EXPERIMENTAL DATA. International Journal of Pure and Apllied Mathematics. 93(6). 8 indexed citations
15.
Doumic, Marie, et al.. (2012). Statistical estimation of a growth-fragmentation model observed on a\n genealogical tree. arXiv (Cornell University). 40 indexed citations
16.
Banks, H. T., Karyn L. Sutton, W. Clayton Thompson, et al.. (2011). A new model for the estimation of cell proliferation dynamics using CFSE data. Journal of Immunological Methods. 373(1-2). 143–160. 35 indexed citations
17.
Banks, H. T., et al.. (2010). Label structured cell proliferation models. Applied Mathematics Letters. 23(12). 1412–1415. 11 indexed citations
18.
Doumic, Marie, et al.. (2009). Scaling limit of a discrete prion dynamics model. Communications in Mathematical Sciences. 7(4). 839–865. 19 indexed citations
19.
Calvez, Vincent, et al.. (2009). Prion dynamics with size dependency–strain phenomena. Journal of Biological Dynamics. 4(1). 28–42. 25 indexed citations
20.
Doumic, Marie. (2008). Analysis of a Population Model Structuredby the Cells Molecular Content. Springer Link (Chiba Institute of Technology). 34 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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