Koichi Imai

915 total citations
111 papers, 646 citations indexed

About

Koichi Imai is a scholar working on Biomedical Engineering, Molecular Biology and Electrical and Electronic Engineering. According to data from OpenAlex, Koichi Imai has authored 111 papers receiving a total of 646 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Biomedical Engineering, 21 papers in Molecular Biology and 14 papers in Electrical and Electronic Engineering. Recurrent topics in Koichi Imai's work include 3D Printing in Biomedical Research (16 papers), Pluripotent Stem Cells Research (11 papers) and Bone Tissue Engineering Materials (9 papers). Koichi Imai is often cited by papers focused on 3D Printing in Biomedical Research (16 papers), Pluripotent Stem Cells Research (11 papers) and Bone Tissue Engineering Materials (9 papers). Koichi Imai collaborates with scholars based in Japan, United States and Estonia. Koichi Imai's co-authors include Masaaki Nakamura, Yoichi Kondo, Yoichi Hanaoka, Akito Tanoue, Naomi Kudo, Yoichi Kawashima, Masato Sato, Shinji Kusakawa, Shoji Takeda and Akira Shirahata and has published in prestigious journals such as Carbon, International Journal of Molecular Sciences and Journal of Controlled Release.

In The Last Decade

Koichi Imai

95 papers receiving 613 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Koichi Imai Japan 13 173 160 62 61 56 111 646
Nikiforos Kollias United States 14 119 0.7× 249 1.6× 35 0.6× 37 0.6× 47 0.8× 15 1.2k
Michael Grau Germany 7 285 1.6× 102 0.6× 51 0.8× 58 1.0× 22 0.4× 8 907
Sandra Del Bino France 11 135 0.8× 104 0.7× 29 0.5× 55 0.9× 57 1.0× 14 1.3k
Xugang Wang China 15 128 0.7× 137 0.9× 32 0.5× 48 0.8× 46 0.8× 51 806
Yuri Dancik United States 15 128 0.7× 307 1.9× 29 0.5× 24 0.4× 79 1.4× 31 1.2k
J.-P. Marty France 17 93 0.5× 91 0.6× 55 0.9× 18 0.3× 45 0.8× 43 1.1k
Qiang Luo China 19 308 1.8× 175 1.1× 44 0.7× 32 0.5× 16 0.3× 55 1.0k
Norio Imai Japan 19 144 0.8× 93 0.6× 22 0.4× 41 0.7× 84 1.5× 64 972
Hiroyuki Fujimori Japan 16 184 1.1× 150 0.9× 120 1.9× 60 1.0× 84 1.5× 63 915
Hee‐Gyoo Kang South Korea 18 366 2.1× 200 1.3× 33 0.5× 49 0.8× 16 0.3× 70 936

Countries citing papers authored by Koichi Imai

Since Specialization
Citations

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

Fields of papers citing papers by Koichi Imai

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Koichi Imai

This figure shows the co-authorship network connecting the top 25 collaborators of Koichi Imai. A scholar is included among the top collaborators of Koichi Imai 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 Koichi Imai. Koichi Imai 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.
Kamijo, Yoshito, et al.. (2023). Amatoxin poisoning caused by Galerina sulciceps, a species with no prior record of identification in Japan: a case report. Toxicon. 229. 107139–107139. 3 indexed citations
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Imai, Koichi. (2014). Microdevice in the Oral Implant Superstructure. 12(1). 36–39.
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Imai, Koichi, Hideto Ariumi, Taku Matsushita, Tetsuya Hasegawa, & Yuji Yoshiyama. (2013). History and Social Duties in Future of the AATEX: Alternatives to Animal Testing and Experimentation. 18(2). 53–57. 1 indexed citations
7.
Imai, Koichi, et al.. (2013). An Attempt to in Vitro Embryotoxicity Test using Mouse ES Cells and Human Hepatocytes. 18(1). 33–38. 1 indexed citations
8.
Imai, Koichi, Kazuaki Nakamura, & Akito Tanoue. (2012). In Vitro Embryotoxicity Testing of Biomaterials by Improvement of Embryonic Stem Cell Test (EST). 10(1). 48–53.
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Imai, Koichi, et al.. (2012). An Attempt to Study of Mouse ES Cell Differentiation using Collagen Derived from Tilapia Scale. 10(2). 89–94. 1 indexed citations
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Tominaga, Kazuya, Masahiro Wato, Koichi Imai, et al.. (2010). Biological Reactions to Calcium Phosphate-coated Calcium Carbonate Particles. 8(2). 115–123.
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Imai, Koichi. (2009). In Vitro Embryotoxicity Testing of Nanomaterals by Improvement of Embryonic Stem Cell Test. 1(2). 176–185. 5 indexed citations
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Imai, Koichi, Shoji Takeda, Yoshihiro Momota, et al.. (2009). In Vitro Embryotoxicity Test of Four Plasticizers by Embryonic Stem Cell Test (EST). 14(3). 947–953. 7 indexed citations
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Kishimoto, Naotaka, Yoshihiro Momota, Ryoichi Mori, et al.. (2008). Bone Regeneration Using Dedifferentiated Fat Cells with PuraMatrixTM. 6(2). 127–134. 8 indexed citations
17.
Imai, Koichi, et al.. (2008). In Vitro Embryotoxicity Testing of Mercury Vapour by Differentiation of ES-D3 Cells. 13(3). 118–122. 16 indexed citations
18.
Imai, Koichi, Shinji Kusakawa, Akito Tanoue, & Masaaki Nakamura. (2007). Effects on ES-D3 Cell Differentiation of Three-dimensional Cell Culture System using with Collagen Gel Derived from Chum Salmon Sources. 5(2). 81–86. 13 indexed citations
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Imai, Koichi, et al.. (1994). Cytotoxicity of Dental Monomers : I.Comparison of Two Bis-GMA Materials with Different Purities and TEGDMA Monomer. 13(6). 563–567. 3 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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