Mathilde Badoual
Impact in
- Modeling and Simulation top 1%
- Mathematical Biology Tumor Growth
- Genetics top 5%
- Glioma Diagnosis and Treatment
Papers in
-
- Mathematical Biology Tumor Growth 13
- COVID-19 epidemiological studies 4
- Genetics 10
- Glioma Diagnosis and Treatment 10
- Co-authors
- Christophe Deroulers (17 shared papers)Thierry Bal (6 shared papers)B. Grammaticos (15 shared papers)Jacques Prost (2 shared papers)Frank Jülicher (1 shared paper)Andrea R. Hasenstaub (1 shared paper)Yousheng Shu (1 shared paper)David A. McCormick (1 shared paper)
- Journals
- Neurocomputing (3 papers)Physical Biology (2 papers)Cell Proliferation (2 papers)Physica D Nonlinear Phenomena (2 papers)PLoS Computational Biology (2 papers)
- Partner nations
- FranceUnited StatesGermany
In The Last Decade
Mathilde Badoual
39 papers receiving 1.4k citations
Peers
Comparison fields: 5 of 121
- Modeling and Simulation 228
- Genetics 297
- Cognitive Neuroscience 351
- Cellular and Molecular Neuroscience 302
- Statistical and Nonlinear Physics 167
Countries citing papers authored by Mathilde Badoual
This map shows the geographic impact of Mathilde Badoual'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 Mathilde Badoual with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mathilde Badoual more than expected).
Fields of papers citing papers by Mathilde Badoual
This network shows the impact of papers produced by Mathilde Badoual. 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 Mathilde Badoual. The network helps show where Mathilde Badoual may publish in the future.
Co-authors
The 25 scholars most cited alongside Mathilde Badoual, 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 40 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2003 | 232 | |
| 2 | 2002 | 148 | |
| 3 | 2010 | 145 | |
| 4 | 2015 | 102 | |
| 5 | 2009 | 92 | |
| 6 | 2016 | 79 | |
| 7 | 2004 | 77 | |
| 8 | 2013 | 73 | |
| 9 | 2009 | 65 | |
| 10 | 2006 | 51 | |
| 11 | 2013 | 40 | |
| 12 | 2011 | 37 | |
| 13 | 2006 | 35 | |
| 14 | 2007 | 29 | |
| 15 | 2013 | 29 | |
| 16 | 2014 | 25 | |
| 17 | 2003 | 23 | |
| 18 | 2008 | 14 | |
| 19 | 2010 | 13 | |
| 20 | 2018 | 12 |
About Mathilde Badoual
Mathilde Badoual is a scholar working on Modeling and Simulation, Genetics, Molecular Biology, Cellular and Molecular Neuroscience and Cognitive Neuroscience, having authored 40 papers that have together received 1.4k indexed citations. Recurring topics across this work include Mathematical Biology Tumor Growth (13 papers), Glioma Diagnosis and Treatment (10 papers), Cellular Mechanics and Interactions (6 papers), Neural dynamics and brain function (6 papers), Neuroscience and Neural Engineering (5 papers), COVID-19 epidemiological studies (4 papers), Diffusion and Search Dynamics (4 papers) and Microtubule and mitosis dynamics (3 papers). The work is most often cited by research in Modeling and Simulation (228 citations), Genetics (297 citations), Cognitive Neuroscience (351 citations), Cellular and Molecular Neuroscience (302 citations) and Statistical and Nonlinear Physics (167 citations). Mathilde Badoual has collaborated with scholars based in France, United States and Germany. Frequent co-authors include Christophe Deroulers, Thierry Bal, B. Grammaticos, Jacques Prost, Frank Jülicher, Andrea R. Hasenstaub, Yousheng Shu, David A. McCormick, Johan Pallud and Pascale Varlet. Their work appears in journals such as Neurocomputing, Physical Biology, Cell Proliferation, Physica D Nonlinear Phenomena and PLoS Computational Biology.
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.