Naohito Urakami

438 total citations
27 papers, 346 citations indexed

About

Naohito Urakami is a scholar working on Molecular Biology, Materials Chemistry and Organic Chemistry. According to data from OpenAlex, Naohito Urakami has authored 27 papers receiving a total of 346 indexed citations (citations by other indexed papers that have themselves been cited), including 13 papers in Molecular Biology, 8 papers in Materials Chemistry and 7 papers in Organic Chemistry. Recurrent topics in Naohito Urakami's work include Lipid Membrane Structure and Behavior (10 papers), Surfactants and Colloidal Systems (6 papers) and Material Dynamics and Properties (6 papers). Naohito Urakami is often cited by papers focused on Lipid Membrane Structure and Behavior (10 papers), Surfactants and Colloidal Systems (6 papers) and Material Dynamics and Properties (6 papers). Naohito Urakami collaborates with scholars based in Japan, Slovenia and United States. Naohito Urakami's co-authors include Masayuki Imai, Takashi Yamamoto, P. Ziherl, Yuka Sakuma, Masako Takasu, Koji Nozaki, Tomomi Masui, Yoh Sano, Shigeyuki Komura and Takashi Taniguchi and has published in prestigious journals such as The Journal of Chemical Physics, Langmuir and Biophysical Journal.

In The Last Decade

Naohito Urakami

27 papers receiving 345 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Naohito Urakami Japan 13 148 103 87 74 61 27 346
Sebastian Grobelny Germany 12 181 1.2× 132 1.3× 48 0.6× 53 0.7× 53 0.9× 15 344
Brandon D. Chapman United States 5 205 1.4× 130 1.3× 50 0.6× 83 1.1× 55 0.9× 6 463
C. Nadir Kaplan United States 11 101 0.7× 90 0.9× 168 1.9× 29 0.4× 66 1.1× 23 422
Jan A. Rojas Stütz Germany 7 192 1.3× 185 1.8× 120 1.4× 29 0.4× 26 0.4× 8 414
Alexander M. Bergmann Germany 13 238 1.6× 127 1.2× 68 0.8× 187 2.5× 18 0.3× 20 560
Clyde F. Wilson United States 10 210 1.4× 35 0.3× 199 2.3× 37 0.5× 72 1.2× 10 448
Antoine Diguet France 8 211 1.4× 248 2.4× 180 2.1× 85 1.1× 35 0.6× 10 623
Alla S. Nuraeva Russia 12 86 0.6× 113 1.1× 139 1.6× 151 2.0× 41 0.7× 24 400
Matthias Hiller Germany 12 211 1.4× 227 2.2× 42 0.5× 21 0.3× 41 0.7× 15 683
Tanushree Das India 13 85 0.6× 274 2.7× 51 0.6× 24 0.3× 13 0.2× 47 465

Countries citing papers authored by Naohito Urakami

Since Specialization
Citations

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

Fields of papers citing papers by Naohito Urakami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Naohito Urakami

This figure shows the co-authorship network connecting the top 25 collaborators of Naohito Urakami. A scholar is included among the top collaborators of Naohito Urakami 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 Naohito Urakami. Naohito Urakami 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.
Urakami, Naohito, et al.. (2025). Temperature dependence of membrane viscosity of ternary lipid GUV with Lo domains. Biophysical Journal. 124(5). 818–828. 2 indexed citations
2.
Urakami, Naohito, et al.. (2021). Vesicle deformation and division induced by flip-flops of lipid molecules. Soft Matter. 17(37). 8434–8445. 7 indexed citations
3.
Sakuma, Yuka, et al.. (2016). Role of Inverse-Cone-Shape Lipids in Temperature-Controlled Self-Reproduction of Binary Vesicles. Biophysical Journal. 110(7). 1551–1562. 27 indexed citations
4.
Urakami, Naohito, et al.. (2014). Molecular dynamics simulation for shape change of water-in-oil droplets. Molecular Simulation. 41(10-12). 986–992. 3 indexed citations
5.
Urakami, Naohito, et al.. (2012). Three-dimensional analysis of lipid vesicle transformations. Soft Matter. 8(33). 8569–8569. 57 indexed citations
6.
Sakuma, Yuka, Naohito Urakami, Takashi Taniguchi, & Masayuki Imai. (2011). Asymmetric distribution of cone-shaped lipids in a highly curved bilayer revealed by a small angle neutron scattering technique. Journal of Physics Condensed Matter. 23(28). 284104–284104. 14 indexed citations
7.
Sakuma, Yuka, Masayuki Imai, Naohito Urakami, et al.. (2010). Diffusion of Nano-Meter-Sized Domains on A Vesicle. Biophysical Journal. 98(3). 220a–220a. 2 indexed citations
8.
Urakami, Naohito, et al.. (2010). Simulation of chain length recognition observed in formation of inclusion complex. Computer Physics Communications. 182(1). 240–242. 2 indexed citations
9.
Sakuma, Yuka, Naohito Urakami, Y. Ogata, et al.. (2010). Diffusion of domains on nanometer sized vesicle. Journal of Physics Conference Series. 251. 12036–12036. 3 indexed citations
10.
Tanaka, Ken, Kiyoshi Ishikawa, Koji Nozaki, Naohito Urakami, & Takashi Yamamoto. (2008). Structures of Multilayered Thin Films of Long-Chain Molecules: X-ray Scattering Study. Polymer Journal. 40(10). 1017–1024. 3 indexed citations
11.
Masui, Tomomi, Naohito Urakami, & Masayuki Imai. (2008). Nano-meter-sized domain formation in lipid membranes observed by small angle neutron scattering. The European Physical Journal E. 27(4). 379–389. 16 indexed citations
12.
Urakami, Naohito, et al.. (2008). Lamellar to micelle transition of nonionic surfactant assemblies induced by addition of colloidal particles. The Journal of Chemical Physics. 129(13). 134903–134903. 10 indexed citations
13.
Masui, Tomomi, Masayuki Imai, & Naohito Urakami. (2006). Microdomain formation in model biomembranes. Physica B Condensed Matter. 385-386. 821–823. 4 indexed citations
14.
Imai, Masayuki, et al.. (2005). Polymer-confinement-induced nematic transition of microemulsion droplets. Europhysics Letters (EPL). 71(3). 494–500. 15 indexed citations
15.
Yamamoto, Takashi, et al.. (2004). Molecular dynamics modeling of polymer crystallization; from simple polymers to helical ones. Faraday Discussions. 128. 75–75. 21 indexed citations
16.
Urakami, Naohito & Masayuki Imai. (2003). The Effect of Sphere Size on the Phase Behaviors in the Rod and Sphere Mixture System. Journal of Macromolecular Science Part B. 42(3-4). 533–543. 2 indexed citations
17.
Watanabe, Tomoki, et al.. (2001). Molecular Dynamics Simulation of Protein Translocation across a Membrane. Proceedings Genome Informatics Workshop/Genome informatics. 12. 330–331. 1 indexed citations
18.
Urakami, Naohito, Masayuki Imai, Yoh Sano, & Masako Takasu. (1999). The isotropic–nematic transition and the phase separation of the tobacco mosaic virus particles with polysaccharide. The Journal of Chemical Physics. 111(5). 2322–2328. 12 indexed citations
19.
Urakami, Naohito & Masako Takasu. (1997). The Distribution of the Gyration Radius of a Model of Ionomer Studied by Multicanonical Monte Carlo Simulation. Molecular Simulation. 19(1). 63–73. 5 indexed citations
20.
Urakami, Naohito & Masako Takasu. (1997). Monte-Carlo Simulation of a Polymer with Stickers. Progress of Theoretical Physics Supplement. 126. 329–332. 2 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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