Marcin Leda

1.5k total citations
35 papers, 976 citations indexed

About

Marcin Leda is a scholar working on Computer Networks and Communications, Molecular Biology and Cell Biology. According to data from OpenAlex, Marcin Leda has authored 35 papers receiving a total of 976 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Computer Networks and Communications, 15 papers in Molecular Biology and 14 papers in Cell Biology. Recurrent topics in Marcin Leda's work include Nonlinear Dynamics and Pattern Formation (15 papers), Microtubule and mitosis dynamics (11 papers) and Cellular Mechanics and Interactions (7 papers). Marcin Leda is often cited by papers focused on Nonlinear Dynamics and Pattern Formation (15 papers), Microtubule and mitosis dynamics (11 papers) and Cellular Mechanics and Interactions (7 papers). Marcin Leda collaborates with scholars based in United Kingdom, United States and Poland. Marcin Leda's co-authors include Andrew B. Goryachev, Ann L. Miller, Irving R. Epstein, William M. Bement, George von Dassow, Kenneth E. Sawin, Satoshi Okada, Natasha S. Savage, Erfei Bi and Adriana E. Golding and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Chemical Physics and The Journal of Cell Biology.

In The Last Decade

Marcin Leda

34 papers receiving 966 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marcin Leda United Kingdom 18 500 451 172 144 136 35 976
M. V. Satarić Serbia 23 484 1.0× 484 1.1× 209 1.2× 228 1.6× 115 0.8× 88 1.5k
Gianluca Lattanzi Italy 21 482 1.0× 260 0.6× 28 0.2× 102 0.7× 230 1.7× 53 1.3k
David G. Míguez Spain 17 379 0.8× 123 0.3× 310 1.8× 88 0.6× 114 0.8× 41 775
Denis Tsygankov United States 17 410 0.8× 279 0.6× 19 0.1× 65 0.5× 53 0.4× 41 701
Edward Pate United States 19 1.1k 2.3× 838 1.9× 18 0.1× 54 0.4× 157 1.2× 41 1.8k
Ondřej Kučera Czechia 15 193 0.4× 227 0.5× 30 0.2× 131 0.9× 106 0.8× 27 619
Anna L. Lin United States 15 292 0.6× 206 0.5× 390 2.3× 198 1.4× 71 0.5× 37 1.0k
K. Kometani Japan 13 281 0.6× 158 0.4× 76 0.4× 68 0.5× 81 0.6× 26 594
Daniel Havelka Czechia 13 148 0.3× 153 0.3× 37 0.2× 118 0.8× 133 1.0× 33 550
Fredrik Kartberg Denmark 10 486 1.0× 154 0.3× 13 0.1× 68 0.5× 106 0.8× 10 881

Countries citing papers authored by Marcin Leda

Since Specialization
Citations

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

Fields of papers citing papers by Marcin Leda

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marcin Leda

This figure shows the co-authorship network connecting the top 25 collaborators of Marcin Leda. A scholar is included among the top collaborators of Marcin Leda 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 Marcin Leda. Marcin Leda 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.
Leda, Marcin, et al.. (2025). Rho GTPase dynamics distinguish between models of cortical excitability. Current Biology. 35(6). 1414–1421.e4. 1 indexed citations
2.
Lavrsen, Kirstine, et al.. (2023). Microtubule detyrosination drives symmetry breaking to polarize cells for directed cell migration. Proceedings of the National Academy of Sciences. 120(22). e2300322120–e2300322120. 15 indexed citations
3.
Leda, Marcin, et al.. (2022). A versatile cortical pattern-forming circuit based on Rho, F-actin, Ect2, and RGA-3/4. The Journal of Cell Biology. 221(8). 30 indexed citations
4.
Leda, Marcin, et al.. (2022). Cell cycle and developmental control of cortical excitability in Xenopus laevis. Molecular Biology of the Cell. 33(8). ar73–ar73. 12 indexed citations
5.
Dünkler, Alexander, et al.. (2021). Type V myosin focuses the polarisome and shapes the tip of yeast cells. The Journal of Cell Biology. 220(5). 12 indexed citations
6.
Leda, Marcin, Christine M. Field, William M. Bement, et al.. (2021). Rho and F-actin self-organize within an artificial cell cortex. Current Biology. 31(24). 5613–5621.e5. 22 indexed citations
7.
Leda, Marcin, et al.. (2019). Fission Yeast NDR/LATS Kinase Orb6 Regulates Exocytosis via Phosphorylation of the Exocyst Complex. Cell Reports. 26(6). 1654–1667.e7. 27 indexed citations
8.
9.
Leda, Marcin, Andrew J. Holland, & Andrew B. Goryachev. (2018). Autoamplification and Competition Drive Symmetry Breaking: Initiation of Centriole Duplication by the PLK4-STIL Network. iScience. 8. 222–235. 33 indexed citations
10.
Goryachev, Andrew B. & Marcin Leda. (2017). Many roads to symmetry breaking: molecular mechanisms and theoretical models of yeast cell polarity. Molecular Biology of the Cell. 28(3). 370–380. 80 indexed citations
11.
Leda, Marcin, et al.. (2016). Remodeling of the Fission Yeast Cdc42 Cell-Polarity Module via the Sty1 p38 Stress-Activated Protein Kinase Pathway. Current Biology. 26(21). 2921–2928. 38 indexed citations
12.
Goryachev, Andrew B., Marcin Leda, Ann L. Miller, George von Dassow, & William M. Bement. (2016). How to make a static cytokinetic furrow out of traveling excitable waves. Small GTPases. 7(2). 65–70. 27 indexed citations
13.
Bement, William M., Marcin Leda, Matthew Larson, et al.. (2015). Activator–inhibitor coupling between Rho signalling and actin assembly makes the cell cortex an excitable medium. Nature Cell Biology. 17(11). 1471–1483. 202 indexed citations
14.
Okada, Satoshi, et al.. (2013). Daughter Cell Identity Emerges from the Interplay of Cdc42, Septins, and Exocytosis. Developmental Cell. 26(2). 148–161. 111 indexed citations
15.
Kiselev, Vladimir Yu, et al.. (2011). Lateral dynamics of charged lipids and peripheral proteins in spatially heterogeneous membranes: Comparison of continuous and Monte Carlo approaches. The Journal of Chemical Physics. 135(15). 155103–155103. 9 indexed citations
16.
Sajewicz, Mieczysław, et al.. (2008). Experimental and Model Investigation of the Oscillatory Transenantiomerization of L-α-Phenylalanine. Journal of Liquid Chromatography & Related Technologies. 31(13). 1986–2005. 31 indexed citations
17.
Leda, Marcin, et al.. (2008). Transition between an exothermic chemical wave front and a generic flame. Physical Review E. 78(1). 16309–16309. 5 indexed citations
18.
Leda, Marcin, A. Lemarchand, & B. Nowakowski. (2007). Forbidden interval of propagation speed for exothermic chemical fronts. Physical Review E. 75(5). 56304–56304. 3 indexed citations
19.
Kawczyński, Andrzej L., et al.. (2006). Breaking of translational symmetry of a traveling planar impulse in a two-dimensional two-variable reaction-diffusion model. Physical Review E. 73(4). 46128–46128. 2 indexed citations
20.
Kawczyński, Andrzej L. & Marcin Leda. (2006). Periodic spatiotemporal patterns in a two-dimensional two-variable reaction-diffusion model. Physical Review E. 73(5). 56208–56208. 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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