Cornelis J. Weijer

7.0k total citations
105 papers, 5.3k citations indexed

About

Cornelis J. Weijer is a scholar working on Cell Biology, Molecular Biology and Biomedical Engineering. According to data from OpenAlex, Cornelis J. Weijer has authored 105 papers receiving a total of 5.3k indexed citations (citations by other indexed papers that have themselves been cited), including 80 papers in Cell Biology, 43 papers in Molecular Biology and 40 papers in Biomedical Engineering. Recurrent topics in Cornelis J. Weijer's work include Cellular Mechanics and Interactions (74 papers), 3D Printing in Biomedical Research (21 papers) and Biocrusts and Microbial Ecology (20 papers). Cornelis J. Weijer is often cited by papers focused on Cellular Mechanics and Interactions (74 papers), 3D Printing in Biomedical Research (21 papers) and Biocrusts and Microbial Ecology (20 papers). Cornelis J. Weijer collaborates with scholars based in United Kingdom, Germany and United States. Cornelis J. Weijer's co-authors include Florian Siegert, Dirk Dormann, Xuesong Yang, Bakhtier Vasiev, Andrea Münsterberg, Xuesong Yang, Manli Chuai, C. Peter Downes, Nicholas R. Leslie and Till Bretschneider and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Cornelis J. Weijer

101 papers receiving 5.2k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Cornelis J. Weijer United Kingdom 45 2.8k 2.6k 1.4k 527 436 105 5.3k
Alex Mogilner United States 47 6.1k 2.1× 2.8k 1.1× 2.0k 1.5× 589 1.1× 139 0.3× 104 7.8k
Stanislav Y. Shvartsman United States 44 1.8k 0.6× 3.6k 1.4× 981 0.7× 200 0.4× 237 0.5× 198 6.0k
Nir S. Gov Israel 46 3.0k 1.1× 2.6k 1.0× 2.1k 1.5× 364 0.7× 186 0.4× 175 6.9k
Ruth E. Baker United Kingdom 37 1.9k 0.7× 2.6k 1.0× 842 0.6× 208 0.4× 477 1.1× 207 5.9k
Karsten Kruse Germany 42 2.8k 1.0× 2.1k 0.8× 1.3k 0.9× 262 0.5× 585 1.3× 106 6.1k
Stephan W. Grill Germany 52 4.1k 1.4× 6.2k 2.4× 1.1k 0.8× 290 0.6× 394 0.9× 95 10.0k
Alex Mogilner United States 32 2.0k 0.7× 1.4k 0.5× 690 0.5× 157 0.3× 157 0.4× 80 3.2k
Guillaume Salbreux United Kingdom 36 4.3k 1.5× 1.8k 0.7× 1.9k 1.3× 305 0.6× 82 0.2× 64 5.8k
Édouard Hannezo Austria 34 2.5k 0.9× 1.5k 0.6× 1.4k 1.0× 215 0.4× 67 0.2× 79 4.5k
Günther Gerisch Germany 66 8.6k 3.0× 6.5k 2.5× 2.5k 1.8× 1.1k 2.0× 320 0.7× 200 13.7k

Countries citing papers authored by Cornelis J. Weijer

Since Specialization
Citations

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

Fields of papers citing papers by Cornelis J. Weijer

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Cornelis J. Weijer. 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 Cornelis J. Weijer. The network helps show where Cornelis J. Weijer may publish in the future.

Co-authorship network of co-authors of Cornelis J. Weijer

This figure shows the co-authorship network connecting the top 25 collaborators of Cornelis J. Weijer. A scholar is included among the top collaborators of Cornelis J. Weijer 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 Cornelis J. Weijer. Cornelis J. Weijer 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.
Steventon, Benjamin, et al.. (2025). Control of tissue flows and embryo geometry in avian gastrulation. Nature Communications. 16(1). 5174–5174. 2 indexed citations
2.
Walker, Benjamin J., et al.. (2025). Pattern formation along signaling gradients driven by active droplet behavior of cell swarms. Proceedings of the National Academy of Sciences. 122(21). e2419152122–e2419152122.
3.
Sknepnek, Rastko, et al.. (2023). Generating active T1 transitions through mechanochemical feedback. eLife. 12. 32 indexed citations
4.
Weijer, Cornelis J., et al.. (2023). The evolution of gastrulation morphologies. Development. 150(7). 20 indexed citations
5.
Williams, Robin S. B., Jonathan R. Chubb, Robert H. Insall, et al.. (2021). Moving the Research Forward: The Best of British Biology Using the Tractable Model System Dictyostelium discoideum. Cells. 10(11). 3036–3036. 7 indexed citations
6.
Serra, Mattia, Sebastian J. Streichan, Manli Chuai, Cornelis J. Weijer, & L. Mahadevan. (2020). Dynamic morphoskeletons in development. Proceedings of the National Academy of Sciences. 117(21). 11444–11449. 20 indexed citations
7.
8.
McGloin, David, et al.. (2020). Analysis of barotactic and chemotactic guidance cues on directional decision-making of Dictyostelium discoideum cells in confined environments. Proceedings of the National Academy of Sciences. 117(41). 25553–25559. 13 indexed citations
9.
Bretschneider, Till, Hans G. Othmer, & Cornelis J. Weijer. (2016). Progress and perspectives in signal transduction, actin dynamics, and movement at the cell and tissue level: lessons from Dictyostelium. Interface Focus. 6(5). 20160047–20160047. 28 indexed citations
10.
Rozbicki, Emil, Manli Chuai, Antti Karjalainen, et al.. (2015). Myosin-II-mediated cell shape changes and cell intercalation contribute to primitive streak formation. Nature Cell Biology. 17(4). 397–408. 146 indexed citations
11.
Chuai, Manli, et al.. (2011). Correlating Cell Behavior with Tissue Topology in Embryonic Epithelia. PLoS ONE. 6(4). e18081–e18081. 22 indexed citations
12.
Wagstaff, Laura, et al.. (2008). Wnt3a-mediated chemorepulsion controls movement patterns of cardiac progenitors and requires RhoA function. Development. 135(6). 1029–1037. 67 indexed citations
13.
Chuai, Manli & Cornelis J. Weijer. (2007). The role of FGF signalling in the formation of the primitive streak. Developmental Biology. 306(1). 441–442. 1 indexed citations
14.
Dormann, Dirk & Cornelis J. Weijer. (2006). Chemotactic cell movement during Dictyostelium development and gastrulation. Current Opinion in Genetics & Development. 16(4). 367–373. 57 indexed citations
15.
Bosgraaf, Leonard, et al.. (2005). Paxillin is required for cell-substrate adhesion, cell sorting and slug migration during Dictyostelium development. Journal of Cell Science. 118(18). 4295–4310. 56 indexed citations
16.
Dormann, Dirk, et al.. (2004). In vivo analysis of 3-phosphoinositide dynamics during Dictyostelium phagocytosis and chemotaxis. Journal of Cell Science. 117(26). 6497–6509. 112 indexed citations
17.
Dormann, Dirk, et al.. (2002). Simultaneous quantification of cell motility and protein‐membrane‐association using active contours. Cell Motility and the Cytoskeleton. 52(4). 221–230. 82 indexed citations
18.
Dormann, Dirk, Bakhtier Vasiev, & Cornelis J. Weijer. (2002). Becoming Multicellular by Aggregation; The Morphogenesis of the Social Amoebae Dicyostelium discoideum. Journal of Biological Physics. 28(4). 765–780. 23 indexed citations
19.
Abe, Tomoaki, Anne Early, Florian Siegert, Cornelis J. Weijer, & Jeffrey G. Williams. (1994). Patterns of cell movement within the Dictyostelium slug revealed by cell type-specific, surface labeling of living cells. Cell. 77(5). 687–699. 72 indexed citations
20.
Weijer, Cornelis J., Charles N. David, & John Sternfeld. (1987). Chapter 24 Vital Staining Methods Used in the Analysis of Cell Sorting in Dictyostelium discoideum. Methods in cell biology. 28. 449–459. 10 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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