Mayuko Takeda‐Shitaka

904 total citations
32 papers, 349 citations indexed

About

Mayuko Takeda‐Shitaka is a scholar working on Molecular Biology, Materials Chemistry and Computational Theory and Mathematics. According to data from OpenAlex, Mayuko Takeda‐Shitaka has authored 32 papers receiving a total of 349 indexed citations (citations by other indexed papers that have themselves been cited), including 22 papers in Molecular Biology, 10 papers in Materials Chemistry and 8 papers in Computational Theory and Mathematics. Recurrent topics in Mayuko Takeda‐Shitaka's work include Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (10 papers) and Computational Drug Discovery Methods (8 papers). Mayuko Takeda‐Shitaka is often cited by papers focused on Protein Structure and Dynamics (14 papers), Enzyme Structure and Function (10 papers) and Computational Drug Discovery Methods (8 papers). Mayuko Takeda‐Shitaka collaborates with scholars based in Japan, United States and United Kingdom. Mayuko Takeda‐Shitaka's co-authors include Hideaki Umeyama, Daisuke Takaya, Genki Terashi, Kazuhiko Kanou, Kenshu Kamiya, Mitsuo Iwadate, Masaaki Adachi, Hirokazu Tanaka, Yasuomi Kiyota and Tsuyoshi Miki and has published in prestigious journals such as PLoS ONE, The Journal of Physical Chemistry B and FEBS Letters.

In The Last Decade

Mayuko Takeda‐Shitaka

32 papers receiving 346 citations

Peers

Mayuko Takeda‐Shitaka
S. Leysen Netherlands
Adam S. Duerfeldt United States
Moon‐Hyeong Seo South Korea
Mayuko Takeda‐Shitaka
Citations per year, relative to Mayuko Takeda‐Shitaka Mayuko Takeda‐Shitaka (= 1×) peers Carlos P. Modenutti

Countries citing papers authored by Mayuko Takeda‐Shitaka

Since Specialization
Citations

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

Fields of papers citing papers by Mayuko Takeda‐Shitaka

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mayuko Takeda‐Shitaka. 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 Mayuko Takeda‐Shitaka. The network helps show where Mayuko Takeda‐Shitaka may publish in the future.

Co-authorship network of co-authors of Mayuko Takeda‐Shitaka

This figure shows the co-authorship network connecting the top 25 collaborators of Mayuko Takeda‐Shitaka. A scholar is included among the top collaborators of Mayuko Takeda‐Shitaka 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 Mayuko Takeda‐Shitaka. Mayuko Takeda‐Shitaka 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.
Takeda‐Shitaka, Mayuko, et al.. (2017). Residue–residue interactions regulating the Ca2+-induced EF-hand conformation changes in calmodulin. The Journal of Biochemistry. 162(4). 259–270. 7 indexed citations
2.
Kanou, Kazuhiko, Genki Terashi, Mayuko Takeda‐Shitaka, et al.. (2016). Comprehensive analysis of the Co-structures of dipeptidyl peptidase IV and its inhibitor. BMC Structural Biology. 16(1). 11–11. 21 indexed citations
3.
Terashi, Genki & Mayuko Takeda‐Shitaka. (2015). CAB-Align: A Flexible Protein Structure Alignment Method Based on the Residue-Residue Contact Area. PLoS ONE. 10(10). e0141440–e0141440. 4 indexed citations
4.
Terashi, Genki, Tetsuo Shibuya, & Mayuko Takeda‐Shitaka. (2012). LB3D: A Protein Three-Dimensional Substructure Search Program Based on the Lower Bound of a Root Mean Square Deviation Value. Journal of Computational Biology. 19(5). 493–503. 6 indexed citations
5.
Terashi, Genki, et al.. (2012). United3D: A Protein Model Quality Assessment Program That Uses Two Consensus Based Methods. Chemical and Pharmaceutical Bulletin. 60(11). 1359–1365. 1 indexed citations
6.
Takeda‐Shitaka, Mayuko, et al.. (2008). Dynamic Interaction among the Platform Domain and Two Membrane-Proximal Immunoglobulin-Like Domains of Class I Major Histocompatibility Complex: Normal Mode Analysis. Chemical and Pharmaceutical Bulletin. 56(5). 635–641. 4 indexed citations
7.
Okada, Nobuhiko, Yoshiyuki Oi, Mayuko Takeda‐Shitaka, et al.. (2007). Identification of amino acid residues of Salmonella SlyA that are critical for transcriptional regulation. Microbiology. 153(2). 548–560. 28 indexed citations
8.
Terashi, Genki, Mayuko Takeda‐Shitaka, Kazuhiko Kanou, et al.. (2007). Fams-ace: A combined method to select the best model after remodeling all server models. Proteins Structure Function and Bioinformatics. 69(S8). 98–107. 17 indexed citations
9.
Terashi, Genki, Mayuko Takeda‐Shitaka, Kazuhiko Kanou, et al.. (2007). The SKE‐DOCK server and human teams based on a combined method of shape complementarity and free energy estimation. Proteins Structure Function and Bioinformatics. 69(4). 866–872. 18 indexed citations
10.
Takeda‐Shitaka, Mayuko, et al.. (2006). FAMS Complex: A Fully Automated Homology Modeling System for Protein Complex Structures. Medicinal Chemistry. 2(2). 191–201. 6 indexed citations
11.
Terashi, Genki, Mayuko Takeda‐Shitaka, Daisuke Takaya, Katsuichiro Komatsu, & Hideaki Umeyama. (2005). Searching for protein–protein interaction sites and docking by the methods of molecular dynamics, grid scoring, and the pairwise interaction potential of amino acid residues. Proteins Structure Function and Bioinformatics. 60(2). 289–295. 10 indexed citations
12.
Takeda‐Shitaka, Mayuko, Genki Terashi, Daisuke Takaya, et al.. (2005). Protein structure prediction in CASP6 using CHIMERA and FAMS. Proteins Structure Function and Bioinformatics. 61(S7). 122–127. 10 indexed citations
13.
Takeda‐Shitaka, Mayuko, et al.. (2004). Protein Structure Prediction in Structure Based Drug Design. Current Medicinal Chemistry. 11(5). 551–558. 37 indexed citations
14.
Taguchi, Takaaki, Mayuko Takeda‐Shitaka, Daisuke Takaya, et al.. (2004). Remarkably different structures and reaction mechanisms of ketoreductases for the opposite stereochemical control in the biosynthesis of BIQ antibiotics. Bioorganic & Medicinal Chemistry. 12(22). 5917–5927. 16 indexed citations
15.
Komatsu, Katsuichiro, et al.. (2003). Evaluation of the third solvent clusters fitting procedure for the prediction of protein–protein interactions based on the results at the CAPRI blind docking study. Proteins Structure Function and Bioinformatics. 52(1). 15–18. 5 indexed citations
16.
Adachi, Masaaki, et al.. (2003). Interaction between the antigen and antibody is controlled by the constant domains: Normal mode dynamics of the HEL–HyHEL‐10 complex. Protein Science. 12(10). 2125–2131. 39 indexed citations
17.
Watanabe, Tomoko, et al.. (2003). Dynamic Character of Human Growth Hormone and Its Receptor: Normal Mode Analysis. Chemical and Pharmaceutical Bulletin. 51(7). 754–758. 4 indexed citations
18.
Takeda‐Shitaka, Mayuko, Kenshu Kamiya, Toshiyuki Miyata, et al.. (1999). Structural Studies of the Interactions of Normal and Abnormal Human Plasmins with Bovine Basic Pancreatic Trypsin Inhibitor.. Chemical and Pharmaceutical Bulletin. 47(3). 322–328. 11 indexed citations
19.
Takeda‐Shitaka, Mayuko & Hideaki Umeyama. (1998). Effect of Exceptional Valine Replacement for Highly Conserved Alanine-55 on the Catalytic Site Structure of Chymotrypsin-Like Serine Protease.. Chemical and Pharmaceutical Bulletin. 46(9). 1343–1348. 4 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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