Dumitru Trucu

771 total citations
27 papers, 469 citations indexed

About

Dumitru Trucu is a scholar working on Modeling and Simulation, Oncology and Cell Biology. According to data from OpenAlex, Dumitru Trucu has authored 27 papers receiving a total of 469 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Modeling and Simulation, 13 papers in Oncology and 11 papers in Cell Biology. Recurrent topics in Dumitru Trucu's work include Mathematical Biology Tumor Growth (15 papers), Cancer Cells and Metastasis (8 papers) and Cellular Mechanics and Interactions (7 papers). Dumitru Trucu is often cited by papers focused on Mathematical Biology Tumor Growth (15 papers), Cancer Cells and Metastasis (8 papers) and Cellular Mechanics and Interactions (7 papers). Dumitru Trucu collaborates with scholars based in United Kingdom, France and United States. Dumitru Trucu's co-authors include Raluca Eftimie, Mark A. J. Chaplain, Alf Gerisch, Ping Lin, Sean Lawler, Gibin Powathil, Yangjin Kim, Hyeongi Kim, Yangfan Wang and Alastair Thompson and has published in prestigious journals such as SHILAP Revista de lepidopterología, PLoS ONE and Journal of Theoretical Biology.

In The Last Decade

Dumitru Trucu

25 papers receiving 462 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Dumitru Trucu United Kingdom 13 270 164 142 139 87 27 469
Georgios Lolas Greece 10 547 2.0× 252 1.5× 262 1.8× 323 2.3× 39 0.4× 15 750
Ignacio A. Rodriguez-Brenes United States 10 163 0.6× 137 0.8× 143 1.0× 72 0.5× 68 0.8× 16 365
Jörg Galle Germany 10 132 0.5× 253 1.5× 164 1.2× 175 1.3× 42 0.5× 18 520
Amina Eladdadi United States 12 179 0.7× 146 0.9× 194 1.4× 17 0.1× 194 2.2× 20 460
Anja Voss–Böhme Germany 11 106 0.4× 111 0.7× 94 0.7× 103 0.7× 17 0.2× 20 398
Adrianne L. Jenner Australia 13 131 0.5× 172 1.0× 147 1.0× 10 0.1× 183 2.1× 39 462
Stefan Höhme Germany 3 247 0.9× 122 0.7× 117 0.8× 224 1.6× 14 0.2× 4 440
Oliver Elliott United States 6 30 0.1× 532 3.2× 165 1.2× 22 0.2× 29 0.3× 8 1.0k
Jennifer Lynch United States 8 25 0.1× 207 1.3× 79 0.6× 44 0.3× 22 0.3× 10 533
Olivia Susanto Australia 9 20 0.1× 250 1.5× 130 0.9× 135 1.0× 20 0.2× 15 596

Countries citing papers authored by Dumitru Trucu

Since Specialization
Citations

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

Fields of papers citing papers by Dumitru Trucu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dumitru Trucu

This figure shows the co-authorship network connecting the top 25 collaborators of Dumitru Trucu. A scholar is included among the top collaborators of Dumitru Trucu 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 Dumitru Trucu. Dumitru Trucu 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
2.
Steele, J. Douglas, Raluca Eftimie, Dumitru Trucu, et al.. (2024). Simulating photodynamic therapy for the treatment of glioblastoma using Monte Carlo radiative transport. Journal of Biomedical Optics. 29(2). 25001–25001. 4 indexed citations
3.
Okasha, Mohamed, et al.. (2024). Post–operative glioblastoma cancer cell distribution in the peritumoural oedema. Frontiers in Oncology. 14. 1447010–1447010.
4.
Trucu, Dumitru, et al.. (2023). Structured dynamics of the cell-cycle at multiple scales. Frontiers in Applied Mathematics and Statistics. 9. 2 indexed citations
5.
Trucu, Dumitru, et al.. (2022). Computational Model of Heterogeneity in Melanoma: Designing Therapies and Predicting Outcomes. Frontiers in Oncology. 12. 857572–857572. 4 indexed citations
6.
Eftimie, Raluca, et al.. (2022). Inverse problem approaches for mutation laws in heterogeneous tumours with local and nonlocal dynamics. Mathematical Biosciences & Engineering. 19(4). 3720–3747. 3 indexed citations
7.
Eftimie, Raluca, et al.. (2021). Non-local multiscale approach for the impact of go or grow hypothesis on tumour-viruses interactions. Mathematical Biosciences & Engineering. 18(5). 5252–5284. 8 indexed citations
8.
Rejniak, Katarzyna A., et al.. (2021). Collective Cell Migration in a Fibrous Environment: A Hybrid Multiscale Modelling Approach. Frontiers in Applied Mathematics and Statistics. 7. 18 indexed citations
9.
Eftimie, Raluca, et al.. (2020). Directionality of Macrophages Movement in Tumour Invasion: A Multiscale Moving-Boundary Approach. Bulletin of Mathematical Biology. 82(12). 148–148. 15 indexed citations
10.
Eftimie, Raluca, et al.. (2020). Non-local multiscale approaches for tumour-oncolytic viruses interactions. SHILAP Revista de lepidopterología. 1(3). 249–273. 6 indexed citations
11.
Trucu, Dumitru, et al.. (2020). Oncolytic viral therapies and the delicate balance between virus-macrophage-tumour interactions: a mathematical approach. Mathematical Biosciences & Engineering. 18(1). 764–799. 15 indexed citations
12.
Eftimie, Raluca, et al.. (2019). Multiscale modelling of cancer response to oncolytic viral therapy. Mathematical Biosciences. 310. 76–95. 53 indexed citations
13.
Trucu, Dumitru, et al.. (2019). Multiscale Modelling of Fibres Dynamics and Cell Adhesion within Moving Boundary Cancer Invasion. Bulletin of Mathematical Biology. 81(7). 2176–2219. 26 indexed citations
14.
Eftimie, Raluca, et al.. (2019). Multiscale moving boundary modelling of cancer interactions with a fusogenic oncolytic virus: The impact of syncytia dynamics. Mathematical Biosciences. 323. 108296–108296. 17 indexed citations
15.
Cam, Laurent Le, et al.. (2018). Spatio-Genetic and phenotypic modelling elucidates resistance and re-sensitisation to treatment in heterogeneous melanoma. Journal of Theoretical Biology. 466. 84–105. 13 indexed citations
16.
Chaplain, Mark A. J., et al.. (2018). Computational Approaches and Analysis for a Spatio-Structural-Temporal Invasive Carcinoma Model. Bulletin of Mathematical Biology. 80(4). 701–737. 7 indexed citations
17.
Kim, Yangjin, Gibin Powathil, Hyeongi Kim, et al.. (2018). Role of extracellular matrix and microenvironment in regulation of tumor growth and LAR-mediated invasion in glioblastoma. PLoS ONE. 13(10). e0204865–e0204865. 39 indexed citations
18.
Lü, Peng, Dumitru Trucu, Ping Lin, Alastair Thompson, & Mark A. J. Chaplain. (2017). A Multiscale Mathematical Model of Tumour Invasive Growth. Bulletin of Mathematical Biology. 79(3). 389–429. 38 indexed citations
19.
Trucu, Dumitru, et al.. (2017). Aggregation and travelling wave dynamics in a two-population model of cancer cell growth and invasion. Mathematical Medicine and Biology A Journal of the IMA. 35(4). 541–577. 13 indexed citations
20.
Kim, Yangjin, Gibin Powathil, Dumitru Trucu, et al.. (2015). Strategies of Eradicating Glioma Cells: A Multi-Scale Mathematical Model with MiR-451-AMPK-mTOR Control. PLoS ONE. 10(1). e0114370–e0114370. 42 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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