Kenji Morikami

1.5k total citations
29 papers, 1.2k citations indexed

About

Kenji Morikami is a scholar working on Molecular Biology, Organic Chemistry and Materials Chemistry. According to data from OpenAlex, Kenji Morikami has authored 29 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 21 papers in Molecular Biology, 10 papers in Organic Chemistry and 5 papers in Materials Chemistry. Recurrent topics in Kenji Morikami's work include Synthesis and biological activity (6 papers), Melanoma and MAPK Pathways (5 papers) and Fibroblast Growth Factor Research (4 papers). Kenji Morikami is often cited by papers focused on Synthesis and biological activity (6 papers), Melanoma and MAPK Pathways (5 papers) and Fibroblast Growth Factor Research (4 papers). Kenji Morikami collaborates with scholars based in United States, Japan and Switzerland. Kenji Morikami's co-authors include Hirosato Ebiike, Yuko Aoki, Nobuo Shimma, Takahisa Nakai, Minoru Saito, Akinori Kidera, Haruki Nakamura, Kiyoaki Sakata, Yasuhiko Shiratori and Tatsuo Ohtsuka and has published in prestigious journals such as Cancer Cell, Cancer Research and Journal of Medicinal Chemistry.

In The Last Decade

Kenji Morikami

29 papers receiving 1.2k citations

Peers

Kenji Morikami
Pramod P. Mehta United States
A. Kuglstatter Switzerland
Haizhen A. Zhong United States
Dmitri Kireev United States
Maria Bretner Poland
Gabriele Fendrich Switzerland
Armando G. Villaseñor United States
Walter H.J. Ward United Kingdom
Shijun Zhong China
Richard Cummings United States
Pramod P. Mehta United States
Kenji Morikami
Citations per year, relative to Kenji Morikami Kenji Morikami (= 1×) peers Pramod P. Mehta

Countries citing papers authored by Kenji Morikami

Since Specialization
Citations

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

Fields of papers citing papers by Kenji Morikami

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Kenji Morikami

This figure shows the co-authorship network connecting the top 25 collaborators of Kenji Morikami. A scholar is included among the top collaborators of Kenji Morikami 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 Kenji Morikami. Kenji Morikami 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.
Morikami, Kenji, Yasuhiro Tanizawa, Masaru Yagura, et al.. (2025). MedakaBase as a unified genomic resource platform for medaka fish biology. DNA Research. 32(6). 1 indexed citations
2.
Kawada, Hatsuo, Hirosato Ebiike, Masao Tsukazaki, et al.. (2016). Optimization of the phenylurea moiety in a phosphoinositide 3-kinase (PI3K) inhibitor to improve water solubility and the PK profile by introducing a solubilizing group and ortho substituents. Bioorganic & Medicinal Chemistry. 24(13). 2897–2906. 6 indexed citations
3.
Morikami, Kenji, et al.. (2016). Discovery of a potent and highly selective transforming growth factor β receptor-associated kinase 1 (TAK1) inhibitor by structure based drug design (SBDD). Bioorganic & Medicinal Chemistry. 24(18). 4206–4217. 12 indexed citations
4.
Miura, Takaaki, et al.. (2016). Identification of a selective inhibitor of transforming growth factor β-activated kinase 1 by biosensor-based screening of focused libraries. Bioorganic & Medicinal Chemistry Letters. 27(4). 1031–1036. 2 indexed citations
5.
Kawada, Hatsuo, Hirosato Ebiike, Masao Tsukazaki, et al.. (2015). Modification of a dihydropyrrolopyrimidine phosphoinositide 3-kinase (PI3K) inhibitor to improve oral bioavailability. Bioorganic & Medicinal Chemistry. 23(24). 7650–7660. 9 indexed citations
6.
Nakanishi, Yoshito, Toshiyuki Tsukaguchi, Toshihiko Fujii, et al.. (2014). The Fibroblast Growth Factor Receptor Genetic Status as a Potential Predictor of the Sensitivity to CH5183284/Debio 1347, a Novel Selective FGFR Inhibitor. Molecular Cancer Therapeutics. 13(11). 2547–2558. 101 indexed citations
7.
Lito, Piro, Anna Saborowski, Jingyin Yue, et al.. (2014). Disruption of CRAF-Mediated MEK Activation Is Required for Effective MEK Inhibition in KRAS Mutant Tumors. Cancer Cell. 25(5). 697–710. 222 indexed citations
8.
Kashiwagi, Hirotaka, et al.. (2012). Systematic SAR study of the side chain of nonsecosteroidal vitamin D3 analogs. Bioorganic & Medicinal Chemistry. 20(14). 4495–4506. 3 indexed citations
9.
Kashiwagi, Hirotaka, Masateru Ohta, Yoshiyuki Ono, et al.. (2012). Effects of fluorines on nonsecosteroidal vitamin D receptor agonists. Bioorganic & Medicinal Chemistry. 21(3). 712–721. 8 indexed citations
10.
Kawada, Hatsuo, Hirosato Ebiike, Masao Tsukazaki, et al.. (2012). Lead optimization of a dihydropyrrolopyrimidine inhibitor against phosphoinositide 3-kinase (PI3K) to improve the phenol glucuronic acid conjugation. Bioorganic & Medicinal Chemistry Letters. 23(3). 673–678. 13 indexed citations
11.
Hardegger, Leo A., Bernd Kuhn, Lilli Anselm, et al.. (2011). Halogen Bonding at the Active Sites of Human Cathepsin L and MEK1 Kinase: Efficient Interactions in Different Environments. ChemMedChem. 6(11). 2048–2054. 105 indexed citations
12.
Ono, Yoshiyuki, Takashi Emura, Kohsuke Asoh, et al.. (2011). Discovery of novel tetracyclic compounds as anaplastic lymphoma kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 21(12). 3788–3793. 27 indexed citations
13.
Ohwada, Jun, Hirosato Ebiike, Hatsuo Kawada, et al.. (2011). Discovery and biological activity of a novel class I PI3K inhibitor, CH5132799. Bioorganic & Medicinal Chemistry Letters. 21(6). 1767–1772. 56 indexed citations
14.
Chiba, Takashi, et al.. (2010). Discovery of 6-benzyloxyquinolines as c-Met selective kinase inhibitors. Bioorganic & Medicinal Chemistry Letters. 20(4). 1405–1409. 44 indexed citations
15.
Kawasaki, Ken‐ichi, Miyako Masubuchi, Kenji Morikami, et al.. (2003). Design and synthesis of novel benzofurans as a new class of antifungal agents targeting fungal N-myristoyltransferase. Part 3. Bioorganic & Medicinal Chemistry Letters. 13(1). 87–91. 90 indexed citations
16.
Sato, Hiroyuki, et al.. (2003). Parallelization of AMBER molecular dynamics program for the AP1000 highly parallel computer. i. 113–120. 3 indexed citations
17.
Masubuchi, Miyako, Hirosato Ebiike, Ken‐ichi Kawasaki, et al.. (2003). Synthesis and biological activities of benzofuran antifungal agents targeting fungal N-myristoyltransferase. Bioorganic & Medicinal Chemistry. 11(20). 4463–4478. 106 indexed citations
18.
Sogabe, Satoshi, Miyako Masubuchi, Kiyoaki Sakata, et al.. (2002). Crystal Structures of Candida albicans N-Myristoyltransferase with Two Distinct Inhibitors. Chemistry & Biology. 9(10). 1119–1128. 107 indexed citations
19.
Ebiike, Hirosato, Miyako Masubuchi, Pingli Liu, et al.. (2002). Design and synthesis of novel benzofurans as a new class of antifungal agents targeting fungal N-myristoyltransferase. Part 2. Bioorganic & Medicinal Chemistry Letters. 12(4). 607–610. 66 indexed citations
20.

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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