Matthew Akamatsu

1.3k total citations
16 papers, 711 citations indexed

About

Matthew Akamatsu is a scholar working on Cell Biology, Molecular Biology and Atomic and Molecular Physics, and Optics. According to data from OpenAlex, Matthew Akamatsu has authored 16 papers receiving a total of 711 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Cell Biology, 10 papers in Molecular Biology and 7 papers in Atomic and Molecular Physics, and Optics. Recurrent topics in Matthew Akamatsu's work include Force Microscopy Techniques and Applications (7 papers), Cellular transport and secretion (7 papers) and Microtubule and mitosis dynamics (5 papers). Matthew Akamatsu is often cited by papers focused on Force Microscopy Techniques and Applications (7 papers), Cellular transport and secretion (7 papers) and Microtubule and mitosis dynamics (5 papers). Matthew Akamatsu collaborates with scholars based in United States, France and Sweden. Matthew Akamatsu's co-authors include David G. Drubin, Yi Cui, Francesca Santoro, Hsin-Ya Lou, Bianxiao Cui, Wenting Zhao, Padmini Rangamani, Ritvik Vasan, Lindsey Hanson and Praveen D. Chowdary and has published in prestigious journals such as Proceedings of the National Academy of Sciences, The Journal of Cell Biology and Nature Nanotechnology.

In The Last Decade

Matthew Akamatsu

16 papers receiving 705 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Matthew Akamatsu United States 11 392 353 173 120 85 16 711
Richard Thorogate United Kingdom 14 291 0.7× 359 1.0× 161 0.9× 55 0.5× 117 1.4× 27 839
Robert Kirmse Germany 17 462 1.2× 414 1.2× 154 0.9× 86 0.7× 112 1.3× 25 951
Wah Ing Goh Singapore 14 425 1.1× 421 1.2× 97 0.6× 58 0.5× 75 0.9× 17 812
Naotaka Nakazawa Japan 14 347 0.9× 309 0.9× 111 0.6× 64 0.5× 73 0.9× 20 612
Nico Hampe Germany 9 313 0.8× 254 0.7× 162 0.9× 69 0.6× 47 0.6× 10 582
Bastian Rouven Brückner Germany 12 384 1.0× 248 0.7× 180 1.0× 78 0.7× 161 1.9× 13 693
Katheryn E. Rothenberg United States 12 355 0.9× 212 0.6× 152 0.9× 29 0.2× 109 1.3× 20 564
Haijiao Liu Canada 16 336 0.9× 271 0.8× 446 2.6× 113 0.9× 126 1.5× 27 877
Thomas A. Masters United Kingdom 12 471 1.2× 511 1.4× 112 0.6× 65 0.5× 105 1.2× 14 904
Jens Niewöhner Germany 9 351 0.9× 224 0.6× 116 0.7× 37 0.3× 97 1.1× 12 574

Countries citing papers authored by Matthew Akamatsu

Since Specialization
Citations

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

Fields of papers citing papers by Matthew Akamatsu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Matthew Akamatsu

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

All Works

16 of 16 papers shown
1.
Ferrin, Michael A., et al.. (2025). Force-insensitive myosin-I enhances endocytosis robustness through actin network–scale collective ratcheting. Molecular Biology of the Cell. 36(8). br20–br20. 1 indexed citations
2.
Patel, Hiral, Kem A. Sochacki, Matthew Akamatsu, et al.. (2024). Local monomer levels and established filaments potentiate non-muscle myosin 2 assembly. The Journal of Cell Biology. 223(4). 7 indexed citations
3.
Johnson, Graham T., Eran Agmon, Matthew Akamatsu, et al.. (2023). Building the next generation of virtual cells to understand cellular biology. Biophysical Journal. 122(18). 3560–3569. 14 indexed citations
4.
Serwas, Daniel, Matthew Akamatsu, Ritvik Vasan, et al.. (2022). Mechanistic insights into actin force generation during vesicle formation from cryo-electron tomography. Developmental Cell. 57(9). 1132–1145.e5. 32 indexed citations
5.
Lee, Christopher T., Matthew Akamatsu, & Padmini Rangamani. (2021). Value of models for membrane budding. Current Opinion in Cell Biology. 71. 38–45. 8 indexed citations
6.
Akamatsu, Matthew, Ritvik Vasan, Daniel Serwas, et al.. (2020). Principles of self-organization and load adaptation by the actin cytoskeleton during clathrin-mediated endocytosis. eLife. 9. 101 indexed citations
7.
Lou, Hsin-Ya, Wenting Zhao, Xiao Li, et al.. (2019). Membrane curvature underlies actin reorganization in response to nanoscale surface topography. Proceedings of the National Academy of Sciences. 116(46). 23143–23151. 154 indexed citations
8.
Akamatsu, Matthew, Ritvik Vasan, David G. Drubin, Daniel Serwas, & Padmini Rangamani. (2019). Self-Organization and Force Production by the Branched Actin Cytoskeleton during Mammalian Clathrin-Mediated Endocytosis. Biophysical Journal. 116(3). 313a–313a. 2 indexed citations
9.
Akamatsu, Matthew, Ritvik Vasan, Padmini Rangamani, & David G. Drubin. (2018). Actin-Generated Forces during Mammalian Endocytosis. Biophysical Journal. 114(3). 554a–554a. 2 indexed citations
10.
Dambournet, Daphné, Kem A. Sochacki, Aaron Cheng, et al.. (2018). Genome-edited human stem cells expressing fluorescently labeled endocytic markers allow quantitative analysis of clathrin-mediated endocytosis during differentiation. The Journal of Cell Biology. 217(9). 3301–3311. 45 indexed citations
11.
Akamatsu, Matthew, Yu Lin, Joerg Bewersdorf, & Thomas D. Pollard. (2017). Analysis of interphase node proteins in fission yeast by quantitative and superresolution fluorescence microscopy. Molecular Biology of the Cell. 28(23). 3203–3214. 19 indexed citations
12.
Zhao, Wenting, Lindsey Hanson, Hsin-Ya Lou, et al.. (2017). Nanoscale manipulation of membrane curvature for probing endocytosis in live cells. Nature Nanotechnology. 12(8). 750–756. 234 indexed citations
13.
Akamatsu, Matthew, et al.. (2014). Cytokinetic nodes in fission yeast arise from two distinct types of nodes that merge during interphase. The Journal of Cell Biology. 204(6). 977–988. 49 indexed citations
14.
Akamatsu, Matthew, et al.. (2014). The septation initiation network controls the assembly of nodes containing Cdr2p for cytokinesis in fission yeast. Journal of Cell Science. 128(3). 441–6. 12 indexed citations
15.
McCormick, Chad D., Matthew Akamatsu, Shih-Chieh Ti, & Thomas D. Pollard. (2013). Measuring Affinities of Fission Yeast Spindle Pole Body Proteins in Live Cells across the Cell Cycle. Biophysical Journal. 105(6). 1324–1335. 11 indexed citations
16.
Attur, Mukundan, Mandar Dave, Matthew Akamatsu, et al.. (2002). A System Biology Approach to Bioinformatics and Functional Genomics in Complex Human Diseases: Arthritis. Current Issues in Molecular Biology. 4(4). 129–46. 20 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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