Christina Surulescu

1.5k total citations
49 papers, 899 citations indexed

About

Christina Surulescu is a scholar working on Modeling and Simulation, Cell Biology and Molecular Biology. According to data from OpenAlex, Christina Surulescu has authored 49 papers receiving a total of 899 indexed citations (citations by other indexed papers that have themselves been cited), including 40 papers in Modeling and Simulation, 22 papers in Cell Biology and 18 papers in Molecular Biology. Recurrent topics in Christina Surulescu's work include Mathematical Biology Tumor Growth (39 papers), Cellular Mechanics and Interactions (21 papers) and Gene Regulatory Network Analysis (14 papers). Christina Surulescu is often cited by papers focused on Mathematical Biology Tumor Growth (39 papers), Cellular Mechanics and Interactions (21 papers) and Gene Regulatory Network Analysis (14 papers). Christina Surulescu collaborates with scholars based in Germany, United Kingdom and Türkiye. Christina Surulescu's co-authors include Christian Stinner, Michael Winkler, Christian Engwer, Alexander Hunt, Thomas Hillen, Li Chen, Thomas Lorenz, Kevin J. Painter, Yvonne Dzierma and Stefanie Sonner and has published in prestigious journals such as Philosophical Transactions of the Royal Society B Biological Sciences, Journal of Mathematical Analysis and Applications and Journal of Differential Equations.

In The Last Decade

Christina Surulescu

44 papers receiving 819 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Christina Surulescu Germany 17 745 353 326 198 167 49 899
Zuzanna Szymańska Poland 11 470 0.6× 280 0.8× 230 0.7× 100 0.5× 86 0.5× 28 627
Christian Stinner Germany 11 1.0k 1.3× 647 1.8× 436 1.3× 240 1.2× 225 1.3× 29 1.1k
Tomasz Cieślak Poland 10 922 1.2× 634 1.8× 420 1.3× 235 1.2× 127 0.8× 26 951
Urszula Foryś Poland 21 787 1.1× 443 1.3× 111 0.3× 67 0.3× 469 2.8× 93 1.1k
Chuan Xue United States 13 465 0.6× 334 0.9× 246 0.8× 75 0.4× 77 0.5× 20 708
Vincent Calvez France 14 571 0.8× 284 0.8× 144 0.4× 171 0.9× 129 0.8× 31 874
Diana E. Woodward United States 11 430 0.6× 167 0.5× 129 0.4× 86 0.4× 41 0.2× 21 861
Zhaoyin Xiang China 23 1.2k 1.6× 667 1.9× 594 1.8× 296 1.5× 206 1.2× 79 1.8k
Xinru Cao China 12 800 1.1× 503 1.4× 381 1.2× 144 0.7× 165 1.0× 25 827

Countries citing papers authored by Christina Surulescu

Since Specialization
Citations

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

Fields of papers citing papers by Christina Surulescu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Christina Surulescu

This figure shows the co-authorship network connecting the top 25 collaborators of Christina Surulescu. A scholar is included among the top collaborators of Christina Surulescu 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 Christina Surulescu. Christina Surulescu 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.
Simeon, Bernd, et al.. (2023). A mathematical model for meniscus cartilage regeneration. PAMM. 23(3). 1 indexed citations
2.
Surulescu, Christina, et al.. (2022). A Novel Derivation of Rigorous Macroscopic Limits from a Micro-Meso Description of Signal-Triggered Cell Migration in Fibrous Environments. SIAM Journal on Applied Mathematics. 82(1). 142–167. 7 indexed citations
3.
Dzierma, Yvonne, Christian Berdel, Jochen Fleckenstein, et al.. (2021). Feasibility and clinical usefulness of modelling glioblastoma migration in adjuvant radiotherapy. Zeitschrift für Medizinische Physik. 32(2). 149–158. 5 indexed citations
4.
Stinner, Christian, et al.. (2020). Modeling multiple taxis: tumor invasion with phenotypic heterogeneity,\n haptotaxis, and unilateral interspecies repellence. arXiv (Cornell University). 7 indexed citations
5.
Chen, Li, et al.. (2020). Global boundedness, hair trigger effect, and pattern formation driven by the parametrization of a nonlocal Fisher-KPP problem. Journal of Differential Equations. 269(11). 9090–9122. 10 indexed citations
6.
Painter, Kevin J., et al.. (2020). Nonlocal and local models for taxis in cell migration: a rigorous limit procedure. Journal of Mathematical Biology. 81(6-7). 1251–1298. 11 indexed citations
7.
Surulescu, Christina, et al.. (2018). Modeling of pH regulation in tumor cells: Direct interaction between proton-coupled lactate transporters and cancer-associated carbonicanhydrase. Mathematical Biosciences & Engineering. 16(1). 320–337. 6 indexed citations
8.
Engwer, Christian, Christian Stinner, & Christina Surulescu. (2017). On a structured multiscale model for acid-mediated tumor invasion: The effects of adhesion and proliferation. Mathematical Models and Methods in Applied Sciences. 27(7). 1355–1390. 24 indexed citations
9.
Deutsch, Andreas, Thomas Hillen, Christina Surulescu, & Michael Winkler. (2015). Mini-Workshop: Mathematical Models for Cancer Cell Migration. Oberwolfach Reports. 11(2). 1075–1109.
10.
Surulescu, Christina, et al.. (2015). On a multiscale model involving cell contractivity and its effects on tumor invasion. AYBU AVESIS. 20 indexed citations
11.
Engwer, Christian, Alexander Hunt, & Christina Surulescu. (2014). Effective equations for anisotropic glioma spread with proliferation: a multiscale approach. Publication Server of Kaiserslautern University of Technology (Kaiserslautern University of Technology). 4 indexed citations
12.
Stinner, Christian, Christina Surulescu, & Michael Winkler. (2014). Global Weak Solutions in a PDE-ODE System Modeling Multiscale Cancer Cell Invasion. SIAM Journal on Mathematical Analysis. 46(3). 1969–2007. 219 indexed citations
13.
Engwer, Christian, et al.. (2014). Glioma follow white matter tracts: a multiscale DTI-based model. Journal of Mathematical Biology. 71(3). 551–582. 74 indexed citations
14.
Surulescu, Christina, et al.. (2013). Mathematical modelling, analysis and numerical simulations for the influence of heat shock proteins on tumour invasion. Journal of Mathematical Analysis and Applications. 408(2). 597–614. 23 indexed citations
15.
Surulescu, Christina, et al.. (2013). Mathematical Analysis and Numerical Simulations for a System Modeling Acid-Mediated Tumor Cell Invasion. AYBU AVESIS. 2013. 1–15. 12 indexed citations
16.
Neumann, Simon, et al.. (2012). A minimal mathematical model for the initial molecular interactions of death receptor signalling. Mathematical Biosciences & Engineering. 9(3). 663–683. 3 indexed citations
17.
Surulescu, Christina, et al.. (2011). On some models for cancer cell migration throughtissue networks. Mathematical Biosciences & Engineering. 8(2). 575–589. 16 indexed citations
18.
Surulescu, Christina, et al.. (2011). Modeling and simulation of some cell dispersion problems by a nonparametric method. Mathematical Biosciences & Engineering. 8(2). 263–277. 6 indexed citations
19.
Surulescu, Christina. (2008). ON THE TIME-DEPENDENT MOTION OF A VISCOUS INCOMPRESSIBLE FLUID THROUGH A TUBE WITH COMPLIANT WALLS. 1 indexed citations
20.
Surulescu, Christina. (2006). ON THE STATIONARY MOTION OF A STOKES FLUID IN A THICK ELASTIC TUBE: A 3D/3D INTERACTION PROBLEM. 75(1). 95–106. 3 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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