Jun Sasaki

5.5k total citations
177 papers, 4.6k citations indexed

About

Jun Sasaki is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Biomedical Engineering. According to data from OpenAlex, Jun Sasaki has authored 177 papers receiving a total of 4.6k indexed citations (citations by other indexed papers that have themselves been cited), including 55 papers in Molecular Biology, 53 papers in Cellular and Molecular Neuroscience and 35 papers in Biomedical Engineering. Recurrent topics in Jun Sasaki's work include Photoreceptor and optogenetics research (53 papers), Neuroscience and Neuropharmacology Research (32 papers) and Bone Tissue Engineering Materials (24 papers). Jun Sasaki is often cited by papers focused on Photoreceptor and optogenetics research (53 papers), Neuroscience and Neuropharmacology Research (32 papers) and Bone Tissue Engineering Materials (24 papers). Jun Sasaki collaborates with scholars based in Japan, United States and Russia. Jun Sasaki's co-authors include John L. Spudich, Richard Needleman, Akio Maeda, Janos Κ. Lanyi, Satoshi Imazato, Hideki Kandori, Leonid S. Brown, Tôru Yoshizawa, Akio Maeda and Yoshinori Shichida and has published in prestigious journals such as Science, Proceedings of the National Academy of Sciences and Journal of the American Chemical Society.

In The Last Decade

Jun Sasaki

172 papers receiving 4.5k 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 Sasaki Japan 37 2.3k 2.0k 1.0k 438 393 177 4.6k
Jun Miyake Japan 44 532 0.2× 2.9k 1.4× 2.0k 1.9× 306 0.7× 593 1.5× 340 6.9k
Lu Wei China 37 129 0.1× 1.6k 0.8× 1.1k 1.1× 575 1.3× 251 0.6× 129 5.1k
V. Renugopalakrishnan United States 25 356 0.2× 1.1k 0.6× 460 0.5× 155 0.4× 262 0.7× 125 2.6k
Cecilia Sahlgren Finland 40 356 0.2× 3.0k 1.5× 1.8k 1.7× 129 0.3× 1.7k 4.4× 104 6.8k
Noboru Yamamoto Japan 31 274 0.1× 959 0.5× 404 0.4× 47 0.1× 1.4k 3.5× 223 3.6k
Aleš Iglič Slovenia 39 128 0.1× 2.1k 1.0× 2.0k 2.0× 39 0.1× 472 1.2× 245 5.5k
John D. Spikes United States 35 214 0.1× 1.5k 0.7× 1.5k 1.4× 153 0.3× 259 0.7× 104 4.7k
Jianming Lü United States 38 665 0.3× 3.3k 1.6× 481 0.5× 63 0.1× 32 0.1× 149 6.2k
Hua Ye United Kingdom 32 257 0.1× 573 0.3× 1.2k 1.2× 46 0.1× 645 1.6× 146 3.2k
Ying Zhu China 45 136 0.1× 2.4k 1.2× 2.4k 2.3× 427 1.0× 730 1.9× 210 7.6k

Countries citing papers authored by Jun Sasaki

Since Specialization
Citations

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

Fields of papers citing papers by Jun Sasaki

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Jun Sasaki

This figure shows the co-authorship network connecting the top 25 collaborators of Jun Sasaki. A scholar is included among the top collaborators of Jun Sasaki 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 Sasaki. Jun Sasaki 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.
Miyamoto, Yutaka, et al.. (2025). Improved Prediction of Shrinkage Defects in SGI Castings Considering Expansion/Contraction Behavior and Mold Characteristics. International Journal of Metalcasting. 20(2). 822–832.
2.
Inubushi, Toshihiro, et al.. (2024). The significant role of glycosaminoglycans in tooth development. Glycobiology. 34(5). 4 indexed citations
3.
Sasaki, Jun, Gabriela L. Abe, Toshihiro Inubushi, et al.. (2024). Effect of Heparan Sulfate on Vasculogenesis and Dentinogenesis of Dental Pulp Stem Cells. Journal of Endodontics. 50(8). 1108–1116. 3 indexed citations
4.
5.
Abe, Gabriela L., Soyoung Park, Ponpan Matangkasombut, et al.. (2023). Intercellular crosstalk in adult dental pulp is mediated by heparin-binding growth factors Pleiotrophin and Midkine. BMC Genomics. 24(1). 184–184. 2 indexed citations
6.
Inubushi, Toshihiro, Jun Sasaki, T. Murotani, et al.. (2023). Tmem2 Deficiency Leads to Enamel Hypoplasia and Soft Enamel in Mouse. Journal of Dental Research. 102(10). 1162–1171. 4 indexed citations
7.
Imazato, Satoshi, Toshiyuki Nakatsuka, Haruaki Kitagawa, et al.. (2023). Multiple-Ion Releasing Bioactive Surface Pre-Reacted Glass-Ionomer (S-PRG) Filler: Innovative Technology for Dental Treatment and Care. Journal of Functional Biomaterials. 14(4). 236–236. 35 indexed citations
8.
Sasaki, Jun, et al.. (2022). Role of Heparan Sulfate in Vasculogenesis of Dental Pulp Stem Cells. Journal of Dental Research. 102(2). 207–216. 15 indexed citations
9.
Sasaki, Jun & Satoshi Imazato. (2019). Autoclave sterilization of dental handpieces: A literature review. Journal of Prosthodontic Research. 64(3). 239–242. 27 indexed citations
10.
Egusa, Hiroshi, Jiro Miura, Fangfang Wang, et al.. (2014). Comparative Analysis of Mouse-Induced Pluripotent Stem Cells and Mesenchymal Stem Cells During Osteogenic Differentiation In Vitro. Stem Cells and Development. 23(18). 2156–2169. 46 indexed citations
11.
Suzuki, Takayuki, et al.. (2013). An improved short-term swash zone beach profile change model focusing on berm formation and erosion. Hasanuddin University Repository. 1 indexed citations
12.
Sasaki, Jun, et al.. (2012). Numerical Analysis of the 2011 Tohoku Tsunami In Tokyo Bay Focusing On High Water Marks In Ports. The Twenty-second International Offshore and Polar Engineering Conference. 1 indexed citations
13.
Suzuki, Takayuki, Jun Sasaki, Yoshimitsu TAJIMA, & Kimitoshi Hayano. (2012). FIELD SURVEY OF THE 2011 OF THE PACIFIC COAST OF TOHOKU EARTHQUAKE TSUNAMI DISASTER TO THE SOUTH OF IWATE PREFECTURE. Journal of Japan Society of Civil Engineers Ser B3 (Ocean Engineering). 68(2). I_25–I_30. 2 indexed citations
14.
Sasaki, Jun, et al.. (2010). Numerical Modeling And Experimental Visualization of Wave Propagation Over Semicircular Obstacles. 2 indexed citations
15.
Nakamura, Shinya, Takuya Matsumoto, Jun Sasaki, et al.. (2010). Effect of Calcium Ion Concentrations on Osteogenic Differentiation and Hematopoietic Stem Cell Niche-Related Protein Expression in Osteoblasts. Tissue Engineering Part A. 16(8). 2467–2473. 134 indexed citations
16.
Inoue, Keiichi, Jun Sasaki, John L. Spudich, & Masahide Terazima. (2007). Signal Transmission through the HtrII Transducer Alters the Interaction of Two α-Helices in the HAMP Domain. Journal of Molecular Biology. 376(4). 963–970. 12 indexed citations
17.
Sasaki, Jun & John L. Spudich. (1998). The Transducer Protein HtrII Modulates the Lifetimes of Sensory Rhodopsin II Photointermediates. Biophysical Journal. 75(5). 2435–2440. 37 indexed citations
18.
Sasaki, Jun, et al.. (1997). Numerical Study on `Aoshio', Upwelling of Anoxic Water, in Tokyo Bay. 641–646. 2 indexed citations
19.
20.
Maeda, Akio, et al.. (1992). Tryptophan perturbation in the L intermediate of bacteriorhodopsin: Fourier transform infrared analysis with indole-nitrogen-15 shift. Biochemistry. 31(50). 12543–12545. 24 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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