Jun Allard

3.1k total citations · 1 hit paper
53 papers, 2.2k citations indexed

About

Jun Allard is a scholar working on Cell Biology, Molecular Biology and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Jun Allard has authored 53 papers receiving a total of 2.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Cell Biology, 23 papers in Molecular Biology and 9 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Jun Allard's work include Microtubule and mitosis dynamics (13 papers), Cellular Mechanics and Interactions (13 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Jun Allard is often cited by papers focused on Microtubule and mitosis dynamics (13 papers), Cellular Mechanics and Interactions (13 papers) and Monoclonal and Polyclonal Antibodies Research (9 papers). Jun Allard collaborates with scholars based in United States, Canada and United Kingdom. Jun Allard's co-authors include Philmo Oh, Jan E. Schnitzer, Emmett Pinney, Eric N. Cytrynbaum, Alex Mogilner, Geoffrey O. Wasteneys, Alex Mogilner, Chris Ambrose, Gaudenz Danuser and Omer Dushek and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Physical Review Letters.

In The Last Decade

Jun Allard

50 papers receiving 2.2k citations

Hit Papers

Filipin-sensitive caveola... 1994 2026 2004 2015 1994 250 500 750

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Jun Allard 1.2k 1.1k 300 253 223 53 2.2k
Shuji Akiyama 1.6k 1.3× 712 0.6× 167 0.6× 210 0.8× 105 0.5× 58 2.9k
T.D. Pollard 1.7k 1.4× 1.6k 1.4× 239 0.8× 153 0.6× 203 0.9× 34 3.1k
Daniel Needleman 1.8k 1.5× 1.6k 1.4× 235 0.8× 418 1.7× 132 0.6× 90 3.6k
E. Timothy O’Brien 1.6k 1.3× 1.8k 1.6× 164 0.5× 253 1.0× 180 0.8× 49 2.8k
Khuloud Jaqaman 2.4k 2.0× 1.3k 1.1× 161 0.5× 329 1.3× 206 0.9× 42 3.6k
Reika Watanabe 1.5k 1.2× 824 0.7× 159 0.5× 223 0.9× 417 1.9× 45 2.5k
Dinah Loerke 1.8k 1.5× 1.4k 1.2× 94 0.3× 327 1.3× 198 0.9× 36 2.8k
Marleen Van Troys 1.1k 1.0× 946 0.8× 131 0.4× 170 0.7× 105 0.5× 59 2.3k
Tae‐Young Yoon 1.8k 1.5× 789 0.7× 129 0.4× 538 2.1× 185 0.8× 90 3.0k
Michał Biśta 1.5k 1.2× 921 0.8× 143 0.5× 163 0.6× 105 0.5× 20 2.5k

Countries citing papers authored by Jun Allard

Since Specialization
Citations

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

Fields of papers citing papers by Jun Allard

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Allard

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Allard. A scholar is included among the top collaborators of Jun Allard 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 Jun Allard. Jun Allard 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
2.
Allard, Jun, et al.. (2024). A new method to experimentally quantify dynamics of initial protein–protein interactions. Communications Biology. 7(1). 311–311. 5 indexed citations
3.
Taylor, Robert B., Jun Allard, & Elizabeth L. Read. (2022). Simulation of receptor triggering by kinetic segregation shows role of oligomers and close contacts. Biophysical Journal. 121(9). 1660–1674. 1 indexed citations
4.
Gross, Steven P., et al.. (2021). Diffusion of kinesin motors on cargo can enhance binding and run lengths during intracellular transport. Molecular Biology of the Cell. 32(9). 984–994. 13 indexed citations
5.
El‐Sagheer, Afaf H., et al.. (2020). Molecular flexibility of DNA as a key determinant of RAD 51 recruitment. The EMBO Journal. 39(7). e103002–e103002. 16 indexed citations
6.
Chu, Brian, et al.. (2019). Hydrodynamics of transient cell-cell contact: The role of membrane permeability and active protrusion length. PLoS Computational Biology. 15(4). e1006352–e1006352. 9 indexed citations
7.
Lowengrub, John, et al.. (2019). Efficient simulation of thermally fluctuating biopolymers immersed in fluids on 1-micron, 1-second scales. Journal of Computational Physics. 386. 248–263. 6 indexed citations
8.
Goyette, Jesse, et al.. (2019). The Influence of Molecular Reach and Diffusivity on the Efficacy of Membrane-Confined Reactions. Biophysical Journal. 117(7). 1189–1201. 6 indexed citations
9.
Goyette, Jesse, et al.. (2017). Biophysical assay for tethered signaling reactions reveals tether-controlled activity for the phosphatase SHP-1. Science Advances. 3(3). e1601692–e1601692. 21 indexed citations
10.
Allard, Jun, et al.. (2017). Dynamics of a multicomponent vesicle in shear flow. Soft Matter. 13(19). 3521–3531. 14 indexed citations
11.
Allard, Jun, et al.. (2016). Cell Surface Mechanochemistry and the Determinants of Bleb Formation, Healing and Travel Velocity. Biophysical Journal. 110(3). 309a–309a.
12.
Wet, Ben de, et al.. (2016). Multisite Phosphorylation Modulates the T Cell Receptor ζ-Chain Potency but not the Switchlike Response. Biophysical Journal. 110(8). 1896–1906. 17 indexed citations
13.
Barnhart, Erin L., Jun Allard, Sunny S. Lou, Julie A. Theriot, & Alex Mogilner. (2016). Adhesion-Dependent Wave Generation in Crawling Cells. Current Biology. 27(1). 27–38. 49 indexed citations
14.
Edelstein‐Keshet, Leah, et al.. (2014). Mathematical model with spatially uniform regulation explains long-range bidirectional transport of early endosomes in fungal hyphae. Molecular Biology of the Cell. 25(16). 2408–2415. 9 indexed citations
15.
Danuser, Gaudenz, Jun Allard, & Alex Mogilner. (2013). Mathematical Modeling of Eukaryotic Cell Migration: Insights Beyond Experiments. Annual Review of Cell and Developmental Biology. 29(1). 501–528. 131 indexed citations
16.
Allard, Jun, Geoffrey O. Wasteneys, & Eric N. Cytrynbaum. (2009). Mechanisms of Self-Organization of Cortical Microtubules in Plants Revealed by Computational Simulations. Molecular Biology of the Cell. 21(2). 278–286. 72 indexed citations
17.
Allard, Jun & Andrew D. Rutenberg. (2009). Pulling Helices inside Bacteria: Imperfect Helices and Rings. Physical Review Letters. 102(15). 158105–158105. 7 indexed citations
18.
Allard, Jun, Alison L. Hill, & Andrew D. Rutenberg. (2007). Heterocyst patterns without patterning proteins in cyanobacterial filaments. Developmental Biology. 312(1). 427–434. 14 indexed citations
19.
Schnitzer, Jan E., Philmo Oh, Emmett Pinney, & Jun Allard. (1994). Filipin-sensitive caveolae-mediated transport in endothelium: reduced transcytosis, scavenger endocytosis, and capillary permeability of select macromolecules.. The Journal of Cell Biology. 127(5). 1217–1232. 777 indexed citations breakdown →
20.
Nabel, Gary J., et al.. (1981). Multiple activities of a cloned cell line mediating natural killer cell function.. The Journal of Experimental Medicine. 153(6). 1582–1591. 72 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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