Jörn Starruß

1.3k total citations
13 papers, 765 citations indexed

About

Jörn Starruß is a scholar working on Molecular Biology, Cell Biology and Condensed Matter Physics. According to data from OpenAlex, Jörn Starruß has authored 13 papers receiving a total of 765 indexed citations (citations by other indexed papers that have themselves been cited), including 5 papers in Molecular Biology, 5 papers in Cell Biology and 3 papers in Condensed Matter Physics. Recurrent topics in Jörn Starruß's work include Cellular Mechanics and Interactions (4 papers), Mathematical Biology Tumor Growth (3 papers) and Micro and Nano Robotics (3 papers). Jörn Starruß is often cited by papers focused on Cellular Mechanics and Interactions (4 papers), Mathematical Biology Tumor Growth (3 papers) and Micro and Nano Robotics (3 papers). Jörn Starruß collaborates with scholars based in Germany, France and Spain. Jörn Starruß's co-authors include Andreas Deutsch, Walter de Back, Lutz Brusch, Lotte Søgaard‐Andersen, Vladimir Jakovljevic, Markus Bär, Fernando Peruani, Steffen Grosser, Oleksandr Chepizhko and Gert‐Jan Bakker and has published in prestigious journals such as Physical Review Letters, Bioinformatics and PLoS ONE.

In The Last Decade

Jörn Starruß

11 papers receiving 755 citations

Peers

Jörn Starruß

BE

CB

MB

CMP

ONCOL

Simón García France

Julio M. Belmonte United States

Dávid Selmeczi Denmark

M. Poujade France

Előd Méhes Hungary

Oleksandr Chepizhko Austria

Brian A. Camley United States

Guillaume Duclos France

Olivier Cochet‐Escartin France

Jean-François Rupprecht France

Simón García France

Jörn Starruß

354 ×1.3

BE

534 ×2.0

CB

256 ×1.0

MB

333 ×1.4

CMP

76 ×0.6

ONCOL

Citations per year, relative to Jörn Starruß Jörn Starruß (= 1×) peers Simón García

Countries citing papers authored by Jörn Starruß

Since Specialization

Citations

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

Fields of papers citing papers by Jörn Starruß

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jörn Starruß

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

All Works

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13 of 13 papers shown

1.

Schälte, Yannik, et al.. (2023). FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes. Zenodo (CERN European Organization for Nuclear Research).

2.

Schälte, Yannik, et al.. (2023). FitMultiCell: simulating and parameterizing computational models of multi-scale and multi-cellular processes. Bioinformatics. 39(11). 5 indexed citations

3.

Starruß, Jörn, et al.. (2023). Collective cell migration due to guidance-by-followers is robust to multiple stimuli. Frontiers in Applied Mathematics and Statistics. 9. 3 indexed citations

4.

Starruß, Jörn, et al.. (2023). Influence of cell type specific infectivity and tissue composition on SARS-CoV-2 infection dynamics within human airway epithelium. PLoS Computational Biology. 19(8). e1011356–e1011356.

5.

Starruß, Jörn, et al.. (2022). Guidance by followers ensures long-range coordination of cell migration through α-catenin mechanoperception. Developmental Cell. 57(12). 1529–1544.e5. 21 indexed citations

6.

Ilina, Olga, Pavlo G. Gritsenko, Simon Syga, et al.. (2020). Cell–cell adhesion and 3D matrix confinement determine jamming transitions in breast cancer invasion. Nature Cell Biology. 22(9). 1103–1115. 241 indexed citations

7.

Starruß, Jörn, et al.. (2017). A Workflow for the Integral Performance Analysis of Cloud Applications Using Monitoring and Tracing Techniques. 73–78. 1 indexed citations

8.

Starruß, Jörn, Walter de Back, Lutz Brusch, & Andreas Deutsch. (2014). Morpheus: a user-friendly modeling environment for multiscale and multicellular systems biology. Bioinformatics. 30(9). 1331–1332. 172 indexed citations

9.

Peruani, Fernando, Jörn Starruß, Vladimir Jakovljevic, et al.. (2012). Collective Motion and Nonequilibrium Cluster Formation in Colonies of Gliding Bacteria. Physical Review Letters. 108(9). 98102–98102. 243 indexed citations

10.

Köhn‐Luque, Alvaro, Walter de Back, Jörn Starruß, et al.. (2011). Early Embryonic Vascular Patterning by Matrix-Mediated Paracrine Signalling: A Mathematical Model Study. PLoS ONE. 6(9). e24175–e24175. 35 indexed citations

11.

Starruß, Jörn, et al.. (2007). A New Mechanism for Collective Migration in Myxococcus xanthus. Journal of Statistical Physics. 128(1-2). 269–286. 27 indexed citations

12.

Pompe, W., Jörn Starruß, & M. Bobeth. (2006). Modeling of pattern development during fibronectin nanofibril formation. Biointerphases. 1(3). 93–97. 5 indexed citations

13.

Fritsch, Michael K., et al.. (2005). Cell cycle synchronization of Cupriavidus necator by continuous phasing measured via flow cytometry. Biotechnology and Bioengineering. 92(5). 635–642. 12 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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