Mari Ikuta

829 total citations
8 papers, 541 citations indexed

About

Mari Ikuta is a scholar working on Molecular Biology, Oncology and Organic Chemistry. According to data from OpenAlex, Mari Ikuta has authored 8 papers receiving a total of 541 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 3 papers in Oncology and 2 papers in Organic Chemistry. Recurrent topics in Mari Ikuta's work include Cancer-related Molecular Pathways (3 papers), Cancer therapeutics and mechanisms (2 papers) and Enzyme Structure and Function (2 papers). Mari Ikuta is often cited by papers focused on Cancer-related Molecular Pathways (3 papers), Cancer therapeutics and mechanisms (2 papers) and Enzyme Structure and Function (2 papers). Mari Ikuta collaborates with scholars based in Japan and United States. Mari Ikuta's co-authors include Takashi Hayama, Susumu Nishimura, Kazuhiro Fukasawa, Teruki Honma, Ikuko Suzuki‐Takahashi, Takumitsu Machida, Kyoko Hayashi, Nobuhiko Kawanishi, Hajime Morishima and Chinatsu Ikeura and has published in prestigious journals such as Journal of Biological Chemistry, Journal of Medicinal Chemistry and Protein Science.

In The Last Decade

Mari Ikuta

8 papers receiving 524 citations

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Mari Ikuta Japan	8	322	215	169	96	65	8	541
Mauro Angiolini Italy	10	387 1.2×	247 1.1×	139 0.8×	94 1.0×	42 0.6×	14	587
Kazuhiro Fukasawa Japan	11	345 1.1×	183 0.9×	203 1.2×	75 0.8×	68 1.0×	19	538
Maria Gabriella Brasca Italy	17	345 1.1×	276 1.3×	186 1.1×	82 0.9×	91 1.4×	28	663
Robert H. Gruninger United States	13	252 0.8×	345 1.6×	234 1.4×	79 0.8×	73 1.1×	14	704
Pascal Furet Switzerland	7	397 1.2×	189 0.9×	247 1.5×	60 0.6×	41 0.6×	7	565
Henrik Moebitz Switzerland	5	325 1.0×	105 0.5×	119 0.7×	58 0.6×	42 0.6×	8	441
Angel R. Fuentes‐Pesquera United States	14	274 0.9×	561 2.6×	261 1.5×	89 0.9×	78 1.2×	16	888
Takumitsu Machida Japan	8	192 0.6×	141 0.7×	143 0.8×	57 0.6×	68 1.0×	10	361
Marc R. Arnone United States	7	474 1.5×	113 0.5×	201 1.2×	122 1.3×	34 0.5×	7	620
Karen L. Milkiewicz United States	14	384 1.2×	266 1.2×	281 1.7×	62 0.6×	52 0.8×	19	649

Countries citing papers authored by Mari Ikuta

Since Specialization

Citations

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

Fields of papers citing papers by Mari Ikuta

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mari Ikuta

This figure shows the co-authorship network connecting the top 25 collaborators of Mari Ikuta. A scholar is included among the top collaborators of Mari Ikuta 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 Mari Ikuta. Mari Ikuta is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

Minami, Yosuke, Hironobu Minami, Toshihiro Miyamoto, et al.. (2017). Phase I study of glasdegib (PF‐04449913), an oral smoothened inhibitor, in Japanese patients with select hematologic malignancies. Cancer Science. 108(8). 1628–1633. 45 indexed citations

Dudkin, Vadim, Keith Rickert, Constantine Kreatsoulas, et al.. (2012). Pyridyl aminothiazoles as potent inhibitors of Chk1 with slow dissociation rates. Bioorganic & Medicinal Chemistry Letters. 22(7). 2609–2612. 20 indexed citations

Sunami, T., Noel Byrne, Ronald E. Diehl, et al.. (2009). Structural Basis of Human p70 Ribosomal S6 Kinase-1 Regulation by Activation Loop Phosphorylation. Journal of Biological Chemistry. 285(7). 4587–4594. 46 indexed citations

Ikuta, Mari, Maria Kornienko, Noel Byrne, et al.. (2007). Crystal structures of the N‐terminal kinase domain of human RSK1 bound to three different ligands: Implications for the design of RSK1 specific inhibitors. Protein Science. 16(12). 2626–2635. 40 indexed citations

Kawanishi, Nobuhiko, et al.. (2006). Structure-based drug design of a highly potent CDK1,2,4,6 inhibitor with novel macrocyclic quinoxalin-2-one structure. Bioorganic & Medicinal Chemistry Letters. 16(19). 5122–5126. 74 indexed citations

Ikuta, Mari, Kenji Kamata, Kazuhiro Fukasawa, et al.. (2001). Crystallographic Approach to Identification of Cyclin-dependent Kinase 4 (CDK4)-specific Inhibitors by Using CDK4 Mimic CDK2 Protein. Journal of Biological Chemistry. 276(29). 27548–27554. 86 indexed citations

Honma, Teruki, Kyoko Hayashi, Tetsuya Aoyama, et al.. (2001). Structure-Based Generation of a New Class of Potent Cdk4 Inhibitors: Newde NovoDesign Strategy and Library Design. Journal of Medicinal Chemistry. 44(26). 4615–4627. 148 indexed citations

Honma, Teruki, Takashi Yoshizumi, Noriaki Hashimoto, et al.. (2001). A Novel Approach for the Development of Selective Cdk4 Inhibitors: Library Design Based on Locations of Cdk4 Specific Amino Acid Residues. Journal of Medicinal Chemistry. 44(26). 4628–4640. 82 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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