Mayako Michino

2.3k total citations
32 papers, 1.4k citations indexed

About

Mayako Michino is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Computational Theory and Mathematics. According to data from OpenAlex, Mayako Michino has authored 32 papers receiving a total of 1.4k indexed citations (citations by other indexed papers that have themselves been cited), including 31 papers in Molecular Biology, 13 papers in Cellular and Molecular Neuroscience and 6 papers in Computational Theory and Mathematics. Recurrent topics in Mayako Michino's work include Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (9 papers) and Computational Drug Discovery Methods (6 papers). Mayako Michino is often cited by papers focused on Receptor Mechanisms and Signaling (18 papers), Neuropeptides and Animal Physiology (9 papers) and Computational Drug Discovery Methods (6 papers). Mayako Michino collaborates with scholars based in United States, Australia and Germany. Mayako Michino's co-authors include Lei Shi, Jonathan A. Javitch, Charles L. Brooks, Prashant Donthamsetti, Raymond C. Stevens, Amy Hauck Newman, Lei Jin, Cristina López-Rodrı́guez, Anjana Rao and J. Aramburu and has published in prestigious journals such as Angewandte Chemie International Edition, SHILAP Revista de lepidopterología and Immunity.

In The Last Decade

Mayako Michino

32 papers receiving 1.3k citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Mayako Michino United States 18 1.1k 564 317 145 131 32 1.4k
Qingtong Zhou China 19 1.3k 1.1× 595 1.1× 167 0.5× 163 1.1× 52 0.4× 70 1.7k
Alem W. Kahsai United States 17 1.5k 1.3× 811 1.4× 176 0.6× 253 1.7× 98 0.7× 25 1.7k
David M. Thal Australia 22 2.2k 2.0× 1.1k 2.0× 250 0.8× 313 2.2× 71 0.5× 41 2.5k
Joel Karpiak United States 13 729 0.6× 330 0.6× 224 0.7× 100 0.7× 43 0.3× 14 991
Bingfa Sun United States 10 1.3k 1.1× 615 1.1× 120 0.4× 165 1.1× 35 0.3× 11 1.5k
Gaétan Guillemette Canada 29 1.7k 1.5× 617 1.1× 166 0.5× 171 1.2× 260 2.0× 102 2.3k
Carl‐Mikael Suomivuori United States 17 940 0.8× 590 1.0× 108 0.3× 123 0.8× 24 0.2× 21 1.2k
Francois Marie Ngako Kadji Japan 12 880 0.8× 473 0.8× 90 0.3× 143 1.0× 32 0.2× 19 1.1k
H. Ongun Onaran Türkiye 17 916 0.8× 493 0.9× 93 0.3× 92 0.6× 114 0.9× 40 1.1k
Brendan Kelly Ireland 16 591 0.5× 211 0.4× 86 0.3× 82 0.6× 53 0.4× 25 875

Countries citing papers authored by Mayako Michino

Since Specialization
Citations

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

Fields of papers citing papers by Mayako Michino

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mayako Michino

This figure shows the co-authorship network connecting the top 25 collaborators of Mayako Michino. A scholar is included among the top collaborators of Mayako Michino 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 Mayako Michino. Mayako Michino 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.
2.
Michino, Mayako, Michael W. Miller, Yoshiyuki Fukase, et al.. (2024). Lead Optimization of Small Molecule ENL YEATS Inhibitors to Enable In Vivo Studies: Discovery of TDI-11055. ACS Medicinal Chemistry Letters. 15(4). 524–532. 2 indexed citations
3.
Ginn, John D., Tomasz Kochańczyk, Xiuju Jiang, et al.. (2024). Indazole to 2‐Cyanoindole Scaffold Progression for Mycobacterial Lipoamide Dehydrogenase Inhibitors Achieves Extended Target Residence Time and Improved Antibacterial Activity. Angewandte Chemie International Edition. 63(44). e202407276–e202407276. 3 indexed citations
4.
Chen, Wei, Steven V. Jerome, Mayako Michino, et al.. (2023). Enhancing Hit Discovery in Virtual Screening through Absolute Protein–Ligand Binding Free-Energy Calculations. Journal of Chemical Information and Modeling. 63(10). 3171–3185. 69 indexed citations
5.
Michino, Mayako, Alexandre Beautrait, Nicholas A. Boyles, et al.. (2023). Shape-Based Virtual Screening of a Billion-Compound Library Identifies Mycobacterial Lipoamide Dehydrogenase Inhibitors. SHILAP Revista de lepidopterología. 3(6). 507–515. 7 indexed citations
6.
Reed, Brian, Michael Miller, Mayako Michino, et al.. (2022). Characterization of Pyrrolidinyl-hexahydro-pyranopiperazines as a Novel Kappa Opioid Receptor Agonist Scaffold. ACS Chemical Neuroscience. 13(13). 1849–1856. 2 indexed citations
7.
Zhang, Hao, John D. Ginn, Wenhu Zhan, et al.. (2022). Design, Synthesis, and Optimization of Macrocyclic Peptides as Species-Selective Antimalaria Proteasome Inhibitors. Journal of Medicinal Chemistry. 65(13). 9350–9375. 16 indexed citations
8.
Ginn, John D., Xiuju Jiang, Mayako Michino, et al.. (2021). Whole Cell Active Inhibitors of Mycobacterial Lipoamide Dehydrogenase Afford Selectivity over the Human Enzyme through Tight Binding Interactions. ACS Infectious Diseases. 7(2). 435–444. 5 indexed citations
9.
Finkin-Groner, Efrat, Yoshiyuki Fukase, Qingfei Zheng, et al.. (2021). Deglycase-activity oriented screening to identify DJ-1 inhibitors. RSC Medicinal Chemistry. 12(7). 1232–1238. 17 indexed citations
10.
Verma, Ravi Kumar, Ara M. Abramyan, Mayako Michino, et al.. (2018). The E2.65A mutation disrupts dynamic binding poses of SB269652 at the dopamine D2 and D3 receptors. PLoS Computational Biology. 14(1). e1005948–e1005948. 20 indexed citations
11.
Draper-Joyce, Christopher J., Ravi Kumar Verma, Mayako Michino, et al.. (2018). The action of a negative allosteric modulator at the dopamine D2 receptor is dependent upon sodium ions. Scientific Reports. 8(1). 1208–1208. 17 indexed citations
12.
Michino, Mayako, Comfort A. Boateng, Prashant Donthamsetti, et al.. (2016). Toward Understanding the Structural Basis of Partial Agonism at the Dopamine D3Receptor. Journal of Medicinal Chemistry. 60(2). 580–593. 47 indexed citations
13.
Stolzenberg, Sebastian, Mayako Michino, Michael V. Levine, Harel Weinstein, & Lei Shi. (2016). Computational approaches to detect allosteric pathways in transmembrane molecular machines. Biochimica et Biophysica Acta (BBA) - Biomembranes. 1858(7). 1652–1662. 49 indexed citations
14.
Lane, J. Robert, Prashant Donthamsetti, Jeremy Shonberg, et al.. (2014). A new mechanism of allostery in a G protein–coupled receptor dimer. Nature Chemical Biology. 10(9). 745–752. 96 indexed citations
15.
Michino, Mayako, Prashant Donthamsetti, Thijs Beuming, et al.. (2013). A Single Glycine in Extracellular Loop 1 Is the Critical Determinant for Pharmacological Specificity of Dopamine D2 and D3 Receptors. Molecular Pharmacology. 84(6). 854–864. 56 indexed citations
16.
Michino, Mayako, Jianhan Chen, Raymond C. Stevens, & Charles L. Brooks. (2010). FoldGPCR: Structure prediction protocol for the transmembrane domain of G protein‐coupled receptors from class A. Proteins Structure Function and Bioinformatics. 78(10). 2189–2201. 26 indexed citations
17.
Michino, Mayako & Charles L. Brooks. (2009). Predicting structurally conserved contacts for homologous proteins using sequence conservation filters. Proteins Structure Function and Bioinformatics. 77(2). 448–453. 7 indexed citations
18.
Michino, Mayako, Enrique E. Abola, Charles L. Brooks, et al.. (2009). Community-wide assessment of GPCR structure modelling and ligand docking: GPCR Dock 2008. Nature Reviews Drug Discovery. 8(6). 455–463. 238 indexed citations
19.
Bu, Lintao, Mayako Michino, Romain M. Wolf, & Charles L. Brooks. (2007). Improved model building and assessment of the Calcium‐sensing receptor transmembrane domain. Proteins Structure Function and Bioinformatics. 71(1). 215–226. 23 indexed citations
20.
López-Rodrı́guez, Cristina, J. Aramburu, Lei Jin, et al.. (2001). Bridging the NFAT and NF-κB Families. Immunity. 15(1). 47–58. 207 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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