Anja Voss–Böhme

1.2k total citations
20 papers, 398 citations indexed

About

Anja Voss–Böhme is a scholar working on Modeling and Simulation, Cell Biology and Molecular Biology. According to data from OpenAlex, Anja Voss–Böhme has authored 20 papers receiving a total of 398 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Modeling and Simulation, 7 papers in Cell Biology and 6 papers in Molecular Biology. Recurrent topics in Anja Voss–Böhme's work include Mathematical Biology Tumor Growth (8 papers), Cancer Cells and Metastasis (6 papers) and Cellular Mechanics and Interactions (5 papers). Anja Voss–Böhme is often cited by papers focused on Mathematical Biology Tumor Growth (8 papers), Cancer Cells and Metastasis (6 papers) and Cellular Mechanics and Interactions (5 papers). Anja Voss–Böhme collaborates with scholars based in Germany, France and Mexico. Anja Voss–Böhme's co-authors include Andreas Deutsch, Fernando Peruani, Elisabetta Ada Cavalcanti‐Adam, Haralampos Hatzikirou, Miguel A. Herrero, Barbara Klink, Thomas Buder, David Reher, Michael Seifert and Weiwei Wei and has published in prestigious journals such as Physical Review Letters, PLoS ONE and Scientific Reports.

In The Last Decade

Anja Voss–Böhme

19 papers receiving 390 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Anja Voss–Böhme Germany 11 111 106 103 99 94 20 398
Jörn Starruß Germany 7 262 2.4× 87 0.8× 270 2.6× 245 2.5× 126 1.3× 13 765
MunJu Kim United States 6 59 0.5× 53 0.5× 33 0.3× 226 2.3× 34 0.4× 7 377
Julio M. Belmonte United States 15 457 4.1× 142 1.3× 452 4.4× 120 1.2× 131 1.4× 22 1.1k
Laurah Turner United States 7 199 1.8× 28 0.3× 35 0.3× 261 2.6× 59 0.6× 15 689
Steffen Grosser Germany 12 118 1.1× 46 0.4× 500 4.9× 83 0.8× 211 2.2× 20 746
Lior Atia United States 7 80 0.7× 23 0.2× 293 2.8× 62 0.6× 72 0.8× 13 438
Sabine Dormann Germany 9 153 1.4× 162 1.5× 112 1.1× 19 0.2× 77 0.8× 13 431
Andrey Kolobov Russia 11 69 0.6× 109 1.0× 29 0.3× 23 0.2× 36 0.4× 60 292
Arnaud Chauvière France 13 151 1.4× 243 2.3× 173 1.7× 16 0.2× 133 1.4× 20 450
Carina M. Edwards United Kingdom 12 193 1.7× 202 1.9× 231 2.2× 14 0.1× 222 2.4× 15 616

Countries citing papers authored by Anja Voss–Böhme

Since Specialization
Citations

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

Fields of papers citing papers by Anja Voss–Böhme

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Anja Voss–Böhme. 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 Anja Voss–Böhme. The network helps show where Anja Voss–Böhme may publish in the future.

Co-authorship network of co-authors of Anja Voss–Böhme

This figure shows the co-authorship network connecting the top 25 collaborators of Anja Voss–Böhme. A scholar is included among the top collaborators of Anja Voss–Böhme 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 Anja Voss–Böhme. Anja Voss–Böhme 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.
Kunz‐Schughart, Leoni A., et al.. (2025). Image segmentation of treated and untreated tumor spheroids by fully convolutional networks. GigaScience. 14. 3 indexed citations
2.
Franke, Florian, et al.. (2023). Efficient Radial-Shell Model for 3D Tumor Spheroid Dynamics with Radiotherapy. Cancers. 15(23). 5645–5645. 3 indexed citations
3.
Hatzikirou, Haralampos, et al.. (2023). Vectorial active matter on the lattice: polar condensates and nematic filaments. New Journal of Physics. 25(12). 123046–123046. 2 indexed citations
4.
Voss–Böhme, Anja, et al.. (2022). Modeling age-specific incidence of colon cancer via niche competition. PLoS Computational Biology. 18(8). e1010403–e1010403.
5.
Linge, Annett, Steffen Löck, Antje Dietrich, et al.. (2022). Plasticity within Aldehyde Dehydrogenase–Positive Cells Determines Prostate Cancer Radiosensitivity. Molecular Cancer Research. 20(5). 794–809. 11 indexed citations
6.
Franke, Florian, et al.. (2022). Is cell segregation like oil and water: Asymptotic versus transitory regime. PLoS Computational Biology. 18(9). e1010460–e1010460. 2 indexed citations
7.
Roßbach, Philipp, et al.. (2021). Model-Based Prediction of an Effective Adhesion Parameter Guiding Multi-Type Cell Segregation. Entropy. 23(11). 1378–1378. 1 indexed citations
8.
Voss–Böhme, Anja, et al.. (2020). Modelling collective cell motion: are on- and off-lattice models equivalent?. Philosophical Transactions of the Royal Society B Biological Sciences. 375(1807). 20190378–20190378. 6 indexed citations
9.
Buder, Thomas, Andreas Deutsch, Barbara Klink, & Anja Voss–Böhme. (2019). Patterns of Tumor Progression Predict Small and Tissue-Specific Tumor-Originating Niches. Frontiers in Oncology. 8. 668–668. 10 indexed citations
10.
Golebiewska, Anna, Anne Dirkse, Thomas Buder, et al.. (2018). SPOT-006 Stem cell-associated heterogeneity in glioblastoma is a result of intrinsic tumour plasticity shaped by the microenvironment. ESMO Open. 3. A18–A18. 4 indexed citations
11.
Cavalcanti‐Adam, Elisabetta Ada, et al.. (2017). Amoeboid-mesenchymal migration plasticity promotes invasion only in complex heterogeneous microenvironments. Scientific Reports. 7(1). 9237–9237. 49 indexed citations
12.
Reher, David, Barbara Klink, Andreas Deutsch, & Anja Voss–Böhme. (2017). Cell adhesion heterogeneity reinforces tumour cell dissemination: novel insights from a mathematical model. Biology Direct. 12(1). 18–18. 28 indexed citations
13.
Buder, Thomas, Andreas Deutsch, Michael Seifert, & Anja Voss–Böhme. (2017). CellTrans: An R Package to Quantify Stochastic Cell State Transitions. Bioinformatics and Biology Insights. 11. 3743678424–3743678424. 14 indexed citations
14.
Hatzikirou, Haralampos, et al.. (2015). An Emerging Allee Effect Is Critical for Tumor Initiation and Persistence. PLoS Computational Biology. 11(9). e1004366–e1004366. 69 indexed citations
15.
Buder, Thomas, Andreas Deutsch, Barbara Klink, & Anja Voss–Böhme. (2015). Model-Based Evaluation of Spontaneous Tumor Regression in Pilocytic Astrocytoma. PLoS Computational Biology. 11(12). e1004662–e1004662. 11 indexed citations
16.
Voss–Böhme, Anja, et al.. (2015). Analysis of Individual Cell Trajectories in Lattice-Gas Cellular Automaton Models for Migrating Cell Populations. Bulletin of Mathematical Biology. 77(4). 660–697. 6 indexed citations
17.
Wei, Weiwei, et al.. (2014). How Does a Single Cell Know When the Liver Has Reached Its Correct Size?. PLoS ONE. 9(4). e93207–e93207. 18 indexed citations
18.
Voss–Böhme, Anja, et al.. (2012). The epidemiological consequences of leprosy-tuberculosis co-infection. Mathematical Biosciences. 241(2). 225–237. 19 indexed citations
19.
Voss–Böhme, Anja. (2012). Multi-Scale Modeling in Morphogenesis: A Critical Analysis of the Cellular Potts Model. PLoS ONE. 7(9). e42852–e42852. 46 indexed citations
20.
Peruani, Fernando, et al.. (2011). Traffic Jams, Gliders, and Bands in the Quest for Collective Motion of Self-Propelled Particles. Physical Review Letters. 106(12). 128101–128101. 96 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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