Jun Akimoto

1.2k total citations
37 papers, 890 citations indexed

About

Jun Akimoto is a scholar working on Organic Chemistry, Biomedical Engineering and Biomaterials. According to data from OpenAlex, Jun Akimoto has authored 37 papers receiving a total of 890 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Organic Chemistry, 14 papers in Biomedical Engineering and 13 papers in Biomaterials. Recurrent topics in Jun Akimoto's work include Advanced Polymer Synthesis and Characterization (14 papers), Hydrogels: synthesis, properties, applications (13 papers) and Nanoparticle-Based Drug Delivery (8 papers). Jun Akimoto is often cited by papers focused on Advanced Polymer Synthesis and Characterization (14 papers), Hydrogels: synthesis, properties, applications (13 papers) and Nanoparticle-Based Drug Delivery (8 papers). Jun Akimoto collaborates with scholars based in Japan, United States and Switzerland. Jun Akimoto's co-authors include Teruo Okano, Masamichi Nakayama, Kiyotaka Sakai, Yoshihiro Ito, Davy‐Louis Versace, Wěi Li, Sylvain Caillol, Binata Joddar, Laura J. Suggs and Soichi Takagi and has published in prestigious journals such as Progress in Polymer Science, ACS Applied Materials & Interfaces and Journal of Controlled Release.

In The Last Decade

Jun Akimoto

35 papers receiving 865 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Jun Akimoto Japan 14 398 388 350 167 143 37 890
Amber E. Rydholm United States 8 247 0.6× 302 0.8× 304 0.9× 209 1.3× 91 0.6× 8 723
Thomas Lorson Germany 10 363 0.9× 260 0.7× 350 1.0× 94 0.6× 218 1.5× 12 840
Laura J. Macdougall United States 15 250 0.6× 229 0.6× 402 1.1× 130 0.8× 164 1.1× 22 839
Krystyna Albrecht Germany 15 314 0.8× 245 0.6× 224 0.6× 139 0.8× 127 0.9× 35 989
Елена Марквичева Russia 19 431 1.1× 334 0.9× 131 0.4× 160 1.0× 234 1.6× 83 1.1k
Torsten Rossow Germany 16 388 1.0× 512 1.3× 371 1.1× 287 1.7× 155 1.1× 20 1.2k
Yanjiao Jiang China 10 723 1.8× 634 1.6× 289 0.8× 281 1.7× 296 2.1× 17 1.4k
Koji Nagahama Japan 21 740 1.9× 343 0.9× 375 1.1× 427 2.6× 215 1.5× 49 1.3k
Na Re Ko South Korea 15 438 1.1× 388 1.0× 319 0.9× 60 0.4× 204 1.4× 30 999
Christopher R. Fenoli United States 6 311 0.8× 352 0.9× 709 2.0× 134 0.8× 343 2.4× 7 1.4k

Countries citing papers authored by Jun Akimoto

Since Specialization
Citations

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

Fields of papers citing papers by Jun Akimoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Akimoto

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Akimoto. A scholar is included among the top collaborators of Jun Akimoto 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 Akimoto. Jun Akimoto 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.
Akimoto, Jun, Nobuhiro Morishima, Takashi Isoshima, et al.. (2022). Rapid and quantitative detection of multiple antibodies against SARS-CoV-2 mutant proteins by photo-immobilized microarray. Analytical Sciences. 38(10). 1313–1321. 3 indexed citations
3.
Nagiah, Naveen, et al.. (2022). Development and Characterization of Furfuryl-Gelatin Electrospun Scaffolds for Cardiac Tissue Engineering. ACS Omega. 7(16). 13894–13905. 29 indexed citations
4.
Ito, Yoshihiro, et al.. (2022). Mild-Temperature-Induced Recombination of Crosslinking Structures in Hydrogels Using Phenylboronic-Acid-Functionalized 3D Nanoparticle Crosslinkers. ACS Applied Polymer Materials. 4(7). 5047–5055. 8 indexed citations
6.
Breloy, Louise, Raúl Losantos, Diego Sampedro, et al.. (2020). Allyl amino-thioxanthone derivatives as highly efficient visible light H-donors and co-polymerizable photoinitiators. Polymer Chemistry. 11(26). 4297–4312. 37 indexed citations
7.
Akimoto, Jun, So Jung Park, Masuki Kawamoto, et al.. (2020). Synthesis of Photoreactive Poly(ethylene oxide)s for Surface Modification. ACS Applied Bio Materials. 3(9). 5941–5947. 4 indexed citations
8.
Park, So Jung, Jun Akimoto, Naoki Sakakibara, Eiry Kobatake, & Yoshihiro Ito. (2020). Thermally Induced Switch of Coupling Reaction Using the Morphological Change of a Thermoresponsive Polymer on a Reactive Heteroarmed Nanoparticle. ACS Applied Materials & Interfaces. 12(43). 49165–49173. 1 indexed citations
9.
Kim, Eun-Hye, Masuki Kawamoto, Hideyuki Miyatake, et al.. (2020). Conjugation of biphenyl groups with poly(ethylene glycol) to enhance inhibitory effects on the PD-1/PD-L1 immune checkpoint interaction. Journal of Materials Chemistry B. 8(44). 10162–10171. 1 indexed citations
10.
Akimoto, Jun, Hideyuki Miyatake, Seiichi Tada, et al.. (2019). Cell migration and growth induced by photo-immobilised vascular endothelial growth factor (VEGF) isoforms. Journal of Materials Chemistry B. 7(27). 4272–4279. 9 indexed citations
11.
Kim, Seong Min, et al.. (2019). <p>Micropatterned nanolayers immobilized with nerve growth factor for neurite formation of PC12 cells</p>. International Journal of Nanomedicine. Volume 14. 7683–7694. 13 indexed citations
12.
Akimoto, Jun, et al.. (2019). Reactivity Control of Polymer Functional Groups by Altering the Structure of Thermoresponsive Triblock Copolymers. ACS Omega. 4(15). 16344–16351. 3 indexed citations
13.
Akimoto, Jun, et al.. (2019). Step-by-Step Assembled Enzyme–Polymer–Carbon Nanotubes for Solution-Processed Bioreactive Composites. ACS Applied Nano Materials. 2(7). 4323–4332. 2 indexed citations
14.
Heo, Yun, Jun Akimoto, Eiry Kobatake, & Yoshihiro Ito. (2019). Gelation and release behavior of visible light-curable alginate. Polymer Journal. 52(3). 323–332. 10 indexed citations
15.
Kumar, Shweta, Matthew Alonzo, Shane C. Allen, et al.. (2019). A Visible Light-Cross-Linkable, Fibrin–Gelatin-Based Bioprinted Construct with Human Cardiomyocytes and Fibroblasts. ACS Biomaterials Science & Engineering. 5(9). 4551–4563. 76 indexed citations
16.
17.
Akimoto, Jun, Yoshihiro Ito, Teruo Okano, & Masamichi Nakayama. (2018). Controlled aggregation behavior of thermoresponsive polymeric micelles by introducing hydrophilic segments as corona components. Journal of Polymer Science Part A Polymer Chemistry. 56(15). 1695–1704. 14 indexed citations
18.
Nakayama, Masamichi, Jun Akimoto, & Teruo Okano. (2014). Polymeric micelles with stimuli-triggering systems for advanced cancer drug targeting. Journal of drug targeting. 22(7). 584–599. 70 indexed citations
19.
Akimoto, Jun, et al.. (2012). History and Present of Good Design Award. Nihon Kikai Gakkaishi/Journal of the Japan Society of Mechanical Engineers. 115(1119). 72–81.
20.
Nakayama, Masamichi, et al.. (2011). pH-induced phase transition control of thermoresponsive nano-micelles possessing outermost surface sulfonamide moieties. Colloids and Surfaces B Biointerfaces. 99. 12–19. 21 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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