Marko Popović

2.9k total citations
57 papers, 1.9k citations indexed

About

Marko Popović is a scholar working on Cellular and Molecular Neuroscience, Cell Biology and Molecular Biology. According to data from OpenAlex, Marko Popović has authored 57 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 20 papers in Cellular and Molecular Neuroscience, 15 papers in Cell Biology and 12 papers in Molecular Biology. Recurrent topics in Marko Popović's work include Cellular Mechanics and Interactions (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (9 papers). Marko Popović is often cited by papers focused on Cellular Mechanics and Interactions (12 papers), Neuroscience and Neuropharmacology Research (10 papers) and Neuroscience and Neural Engineering (9 papers). Marko Popović collaborates with scholars based in United States, Germany and France. Marko Popović's co-authors include Dejan Zečević, Amanda J. Foust, David A. McCormick, Frank Jülicher, Suzanne Eaton, Raphaël Etournay, Matthias Merkel, Guillaume Salbreux, Matthieu Wyart and Maarten H. P. Kole and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Marko Popović

56 papers receiving 1.8k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Marko Popović United States 24 748 503 499 356 231 57 1.9k
Claire Wyart France 32 1.6k 2.1× 1.2k 2.3× 1.3k 2.5× 630 1.8× 376 1.6× 71 3.6k
Quan Wen China 25 649 0.9× 493 1.0× 168 0.3× 367 1.0× 189 0.8× 79 2.1k
Peter Jung United States 23 631 0.8× 634 1.3× 379 0.8× 503 1.4× 71 0.3× 59 2.1k
Kazuaki Homma United States 23 481 0.6× 831 1.7× 435 0.9× 294 0.8× 255 1.1× 67 1.9k
Mei Zhen Canada 38 1.6k 2.2× 2.4k 4.7× 780 1.6× 263 0.7× 302 1.3× 92 4.8k
Christopher V. Gabel United States 24 616 0.8× 798 1.6× 203 0.4× 71 0.2× 339 1.5× 45 2.4k
Richard Schalek United States 23 384 0.5× 721 1.4× 200 0.4× 219 0.6× 280 1.2× 65 2.8k
Antoine G. Godin Canada 24 793 1.1× 862 1.7× 95 0.2× 102 0.3× 196 0.8× 46 1.9k
Leonardo Sacconi Italy 32 780 1.0× 936 1.9× 310 0.6× 247 0.7× 758 3.3× 124 3.1k
G. David Lange United States 25 986 1.3× 1.1k 2.2× 137 0.3× 329 0.9× 97 0.4× 36 2.5k

Countries citing papers authored by Marko Popović

Since Specialization
Citations

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

Fields of papers citing papers by Marko Popović

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Marko Popović

This figure shows the co-authorship network connecting the top 25 collaborators of Marko Popović. A scholar is included among the top collaborators of Marko Popović 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 Marko Popović. Marko Popović 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.
King, Lisa A., Małgorzata Roos, George L. Scheffer, et al.. (2025). PD-L1 directed bispecific Vδ2-T cell engager combines lysis of PD-L1 expressing tumor cells with PD-1 immune checkpoint inhibition and modulation of the tumor immune microenvironment. Journal for ImmunoTherapy of Cancer. 13(10). e012255–e012255. 1 indexed citations
2.
3.
Maroudas-Sacks, Yonit, et al.. (2024). Confinement Modulates Axial Patterning in Regenerating Hydra. 2(4). 4 indexed citations
4.
Tan, Tzer Han, Irene Seijo-Barandiarán, Michael F. Staddon, et al.. (2024). Emergent chirality in active solid rotation of pancreas spheres. 2(3). 5 indexed citations
5.
Paijmans, Joris, Suzanne Eaton, Marko Popović, et al.. (2024). Active shape programming drives Drosophila wing disc eversion. Science Advances. 10(32). eadp0860–eadp0860. 7 indexed citations
6.
Jawerth, Louise, et al.. (2023). Theory of Rheology and Aging of Protein Condensates. Leiden Repository (Leiden University). 1(1). 10 indexed citations
7.
Biroli, Giulio, et al.. (2023). Scaling Description of Dynamical Heterogeneity and Avalanches of Relaxation in Glass-Forming Liquids. Physical Review X. 13(3). 17 indexed citations
8.
Gruber, Franz, Carl D. Modes, Marko Popović, et al.. (2023). Core PCP mutations affect short-time mechanical properties but not tissue morphogenesis in the Drosophila pupal wing. eLife. 12. 3 indexed citations
9.
Naganathan, Sundar Ram, Marko Popović, & Andrew C. Oates. (2022). Left–right symmetry of zebrafish embryos requires somite surface tension. Nature. 605(7910). 516–521. 23 indexed citations
10.
Popović, Marko, et al.. (2021). Thermally activated flow in models of amorphous solids. Physical review. E. 104(2). 25010–25010. 16 indexed citations
11.
Olst, Lynn van, Alwin Kamermans, Bart Roucourt, et al.. (2020). Microglial activation arises after aggregation of phosphorylated-tau in a neuron-specific P301S tauopathy mouse model. Neurobiology of Aging. 89. 89–98. 54 indexed citations
12.
Dye, Natalie A., Marko Popović, Stephanie Spannl, et al.. (2017). Cell dynamics underlying oriented growth of the Drosophila wing imaginal disc. Development. 144(23). 4406–4421. 54 indexed citations
13.
Popović, Marko, et al.. (2017). Loss of Saltation and Presynaptic Action Potential Failure in Demyelinated Axons. Frontiers in Cellular Neuroscience. 11. 45–45. 31 indexed citations
14.
Popović, Marko, Hrvoje Štefančić, Borut Sluban, et al.. (2014). Extraction of Temporal Networks from Term Co-Occurrences in Online Textual Sources. PLoS ONE. 9(12). e99515–e99515. 3 indexed citations
15.
Popović, Marko & Antonio Šiber. (2013). Lattice-gas Poisson-Boltzmann approach for sterically asymmetric electrolytes. Physical Review E. 88(2). 22302–22302. 23 indexed citations
16.
Popović, Marko, Xin Gao, & Dejan Zečević. (2012). Voltage-sensitive Dye Recording from Axons, Dendrites and Dendritic Spines of Individual Neurons in Brain Slices. Journal of Visualized Experiments. 9 indexed citations
17.
Foust, Amanda J., Yuguo Yu, Marko Popović, Dejan Zečević, & David A. McCormick. (2011). Somatic Membrane Potential and Kv1 Channels Control Spike Repolarization in Cortical Axon Collaterals and Presynaptic Boutons. Journal of Neuroscience. 31(43). 15490–15498. 74 indexed citations
18.
Foust, Amanda J., Marko Popović, Dejan Zečević, & David A. McCormick. (2010). Action Potentials Initiate in the Axon Initial Segment and Propagate through Axon Collaterals Reliably in Cerebellar Purkinje Neurons. Journal of Neuroscience. 30(20). 6891–6902. 112 indexed citations
19.
Popović, Marko, Stanko S. Stojilković, & Arturo E. González-Iglesias. (2009). Effects of isoquinolonesulfonamides on action potential secretion coupling in pituitary cells. Hormone Molecular Biology and Clinical Investigation. 1(1). 35–42. 2 indexed citations
20.
Korzeniowski, Marek, Marko Popović, Zsófia Szentpétery, et al.. (2009). Dependence of STIM1/Orai1-mediated Calcium Entry on Plasma Membrane Phosphoinositides. Journal of Biological Chemistry. 284(31). 21027–21035. 125 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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