Takuya Katashima

1.7k total citations
59 papers, 1.3k citations indexed

About

Takuya Katashima is a scholar working on Molecular Medicine, Polymers and Plastics and Biomaterials. According to data from OpenAlex, Takuya Katashima has authored 59 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 33 papers in Molecular Medicine, 19 papers in Polymers and Plastics and 18 papers in Biomaterials. Recurrent topics in Takuya Katashima's work include Hydrogels: synthesis, properties, applications (33 papers), Polymer Nanocomposites and Properties (10 papers) and Surfactants and Colloidal Systems (9 papers). Takuya Katashima is often cited by papers focused on Hydrogels: synthesis, properties, applications (33 papers), Polymer Nanocomposites and Properties (10 papers) and Surfactants and Colloidal Systems (9 papers). Takuya Katashima collaborates with scholars based in Japan, United States and Australia. Takuya Katashima's co-authors include Takamasa Sakai, Ung‐il Chung, Keiji Numata, Mitsuhiro Shibayama, Yuki Akagi, Ali D. Malay, Xiang Li, Takuro Matsunaga, Takehiro Suzuki and Kazuharu Arakawa and has published in prestigious journals such as Journal of the American Chemical Society, Advanced Materials and The Journal of Chemical Physics.

In The Last Decade

Takuya Katashima

55 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Takuya Katashima Japan 20 525 467 364 287 230 59 1.3k
Shengchang Tang United States 14 275 0.5× 274 0.6× 307 0.8× 179 0.6× 262 1.1× 27 985
Malav S. Desai United States 14 373 0.7× 230 0.5× 656 1.8× 167 0.6× 120 0.5× 16 1.2k
Hai Lei China 19 211 0.4× 185 0.4× 428 1.2× 137 0.5× 111 0.5× 69 1.3k
Sen Hou China 14 500 1.0× 228 0.5× 497 1.4× 145 0.5× 180 0.8× 23 1.3k
Scott C. Grindy United States 12 420 0.8× 263 0.6× 263 0.7× 376 1.3× 424 1.8× 16 1.4k
Yongmao Li China 15 344 0.7× 378 0.8× 492 1.4× 230 0.8× 125 0.5× 24 1.3k
Naokazu Idota Japan 19 244 0.5× 196 0.4× 485 1.3× 212 0.7× 191 0.8× 43 1.0k
Yoshiyuki Saruwatari Japan 17 178 0.3× 225 0.5× 408 1.1× 226 0.8× 333 1.4× 48 1.0k

Countries citing papers authored by Takuya Katashima

Since Specialization
Citations

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

Fields of papers citing papers by Takuya Katashima

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Takuya Katashima

This figure shows the co-authorship network connecting the top 25 collaborators of Takuya Katashima. A scholar is included among the top collaborators of Takuya Katashima 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 Takuya Katashima. Takuya Katashima 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.
Li, Xiang, et al.. (2025). Adsorption suppression and viscosity transition in semidilute PEO/silica nanoparticle mixtures under the protein limit. Journal of Colloid and Interface Science. 692. 137377–137377.
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Naito, Mitsuru, et al.. (2024). Predicting the effects of degradation on viscoelastic relaxation time using model transient networks. Polymer Journal. 56(7). 685–691. 1 indexed citations
5.
Naito, Mitsuru, et al.. (2024). Elucidating Nonlinear Stress Relaxation in Transient Networks through Two-Dimensional Rheo-Optics. ACS Macro Letters. 13(9). 1171–1178. 3 indexed citations
6.
Naito, Mitsuru, et al.. (2024). Relationship between the heterogeneity in particle dynamics and network topology in transient networks via a microrheological study. Polymer Journal. 57(4). 427–434. 2 indexed citations
7.
Chung, Ung‐il, et al.. (2023). Probing the Molecular Mechanism of Viscoelastic Relaxation in Transient Networks. Gels. 9(12). 945–945. 4 indexed citations
8.
Tsuchiya, Kousuke, Kayo Terada, Yui Tsuji, et al.. (2023). Cross-linking polybutadiene rubber via a thiol-ene reaction with polycysteine as a degradable cross-linker. Polymer Journal. 56(4). 391–400. 7 indexed citations
9.
Kato, Motoi, Kohei Kimura, Takuya Katashima, et al.. (2023). Molecular Weight-Dependent Diffusion, Biodistribution, and Clearance Behavior of Tetra-Armed Poly(ethylene glycol) Subcutaneously Injected into the Back of Mice. ACS Macro Letters. 12(4). 510–517. 8 indexed citations
10.
Uneyama, Takashi, Xiang Li, Hironori Hojo, et al.. (2023). Percolation-induced gel–gel phase separation in a dilute polymer network. Nature Materials. 22(12). 1564–1570. 32 indexed citations
11.
Kato, Motoi, Qi Shen, Takuya Katashima, et al.. (2023). In situ-formable, dynamic crosslinked poly(ethylene glycol) carrier for localized adeno-associated virus infection and reduced off-target effects. Communications Biology. 6(1). 508–508. 7 indexed citations
12.
Katashima, Takuya. (2023). Precise Rheological Analysis of Permanently and Transiently Crosslinked Polymer Networks with Well-Controlled Structures. Nihon Reoroji Gakkaishi. 51(5). 273–280. 2 indexed citations
13.
Katashima, Takuya, R. Kudo, Mitsuru Naito, et al.. (2022). Experimental Comparison of Bond Lifetime and Viscoelastic Relaxation in Transient Networks with Well-Controlled Structures. ACS Macro Letters. 11(6). 753–759. 13 indexed citations
14.
Katashima, Takuya, et al.. (2022). Decoupling between Translational Diffusion and Viscoelasticity in Transient Networks with Controlled Network Connectivity. Gels. 8(12). 830–830. 4 indexed citations
15.
Katashima, Takuya, Mitsuru Naito, Daisuke Aoki, et al.. (2022). Star‐Polymer–DNA Gels Showing Highly Predictable and Tunable Mechanical Responses. Advanced Materials. 34(13). e2108818–e2108818. 29 indexed citations
16.
Murakami, Tomoya, Sujin Hoshi, Fumiki Okamoto, et al.. (2022). Analysis of the sustained release ability of bevacizumab-loaded tetra-PEG gel. Experimental Eye Research. 223. 109206–109206. 6 indexed citations
17.
Katashima, Takuya, Xiang Li, Yoshiro Mitsukami, et al.. (2021). Effect of Nonlinear Elasticity on the Swelling Behaviors of Highly Swollen Polyelectrolyte Gels. Gels. 7(1). 25–25. 10 indexed citations
18.
Watanabe, Go, Motofumi Osaki, Takuya Katashima, et al.. (2020). Design and mechanical properties of supramolecular polymeric materials based on host–guest interactions: the relation between relaxation time and fracture energy. Polymer Chemistry. 11(42). 6811–6820. 22 indexed citations
19.
Şerban, Bogdan, et al.. (2019). Mechanistic Insights into Silk Fibroin’s Adhesive Properties via Chemical Functionalization of Serine Side Chains. ACS Biomaterials Science & Engineering. 5(11). 5960–5967. 31 indexed citations
20.
Numata, Keiji, et al.. (2014). Silk‐Pectin Hydrogel with Superior Mechanical Properties, Biodegradability, and Biocompatibility. Macromolecular Bioscience. 14(6). 799–806. 52 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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