Shinya Mimasu

672 total citations
9 papers, 530 citations indexed

About

Shinya Mimasu is a scholar working on Molecular Biology, Pulmonary and Respiratory Medicine and Organic Chemistry. According to data from OpenAlex, Shinya Mimasu has authored 9 papers receiving a total of 530 indexed citations (citations by other indexed papers that have themselves been cited), including 7 papers in Molecular Biology, 2 papers in Pulmonary and Respiratory Medicine and 1 paper in Organic Chemistry. Recurrent topics in Shinya Mimasu's work include Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Shinya Mimasu is often cited by papers focused on Epigenetics and DNA Methylation (3 papers), Histone Deacetylase Inhibitors Research (2 papers) and Lung Cancer Treatments and Mutations (2 papers). Shinya Mimasu collaborates with scholars based in Japan. Shinya Mimasu's co-authors include Shigeyuki Yokoyama, Takashi Umehara, Shin Sato, Naoki Umezawa, Tsunehiko Higuchi, Toru Sengoku, Seketsu Fukuzawa, Mitsuyoshi Nakao, Shinjiro Hino and Ken-ichiro Kosai and has published in prestigious journals such as Nature Communications, Biochemistry and Cancer Research.

In The Last Decade

Shinya Mimasu

9 papers receiving 525 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Shinya Mimasu Japan 7 455 54 48 40 38 9 530
Francesco Sirci Italy 12 327 0.7× 44 0.8× 35 0.7× 26 0.7× 83 2.2× 17 511
Shiho Takeuchi Japan 9 188 0.4× 41 0.8× 51 1.1× 44 1.1× 18 0.5× 18 382
Benjamin D. Stein United States 8 296 0.7× 23 0.4× 26 0.5× 17 0.4× 29 0.8× 10 421
E. Allen Sickmier United States 11 458 1.0× 30 0.6× 34 0.7× 59 1.5× 16 0.4× 18 618
Byron J. Aguilar United States 12 232 0.5× 52 1.0× 22 0.5× 27 0.7× 21 0.6× 20 390
Hannah Wapenaar Netherlands 9 317 0.7× 23 0.4× 34 0.7× 23 0.6× 15 0.4× 12 407
Roeland Vanhoutte Belgium 8 235 0.5× 49 0.9× 42 0.9× 14 0.3× 21 0.6× 12 367
Joshua Haznedar United States 7 221 0.5× 65 1.2× 28 0.6× 44 1.1× 60 1.6× 12 426
Nikolaos A. A. Balatsos Greece 14 314 0.7× 66 1.2× 40 0.8× 10 0.3× 44 1.2× 30 432
Vinod Tiwari United States 9 251 0.6× 39 0.7× 45 0.9× 32 0.8× 11 0.3× 15 374

Countries citing papers authored by Shinya Mimasu

Since Specialization
Citations

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

Fields of papers citing papers by Shinya Mimasu

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Shinya Mimasu

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

All Works

9 of 9 papers shown
1.
Inagaki, Mayuko, et al.. (2023). High-throughput analysis system of interaction kinetics for data-driven antibody design. Scientific Reports. 13(1). 19417–19417. 10 indexed citations
2.
Mimasu, Shinya, Hiroaki Yamagishi, Satoshi Kubo, et al.. (2021). Full-length in meso structure and mechanism of rat kynurenine 3-monooxygenase inhibition. Communications Biology. 4(1). 159–159. 5 indexed citations
3.
4.
Hirano, Toshiyuki, Hiroyuki Yasuda, Junko Hamamoto, et al.. (2018). Pharmacological and Structural Characterizations of Naquotinib, a Novel Third-Generation EGFR Tyrosine Kinase Inhibitor, in EGFR -Mutated Non–Small Cell Lung Cancer. Molecular Cancer Therapeutics. 17(4). 740–750. 31 indexed citations
5.
Sakagami, Hideki, Hiroko Yamamoto, Shinya Mimasu, et al.. (2015). Abstract 2586: ASP8273 selectively inhibits mutant EGFR signal pathway and induces tumor shrinkage in EGFR mutated tumor models. Cancer Research. 75(15_Supplement). 2586–2586. 7 indexed citations
6.
Hino, Shinjiro, Akihisa Sakamoto, Katsuya Nagaoka, et al.. (2012). FAD-dependent lysine-specific demethylase-1 regulates cellular energy expenditure. Nature Communications. 3(1). 758–758. 174 indexed citations
7.
Sato, Shin, Shinya Mimasu, Aya Sato, et al.. (2010). Crystallographic Study of a Site-Specifically Cross-Linked Protein Complex with a Genetically Incorporated Photoreactive Amino Acid,. Biochemistry. 50(2). 250–257. 48 indexed citations
8.
Mimasu, Shinya, Naoki Umezawa, Shin Sato, et al.. (2010). Structurally Designed trans-2-Phenylcyclopropylamine Derivatives Potently Inhibit Histone Demethylase LSD1/KDM1,,. Biochemistry. 49(30). 6494–6503. 144 indexed citations
9.
Mimasu, Shinya, Toru Sengoku, Seketsu Fukuzawa, Takashi Umehara, & Shigeyuki Yokoyama. (2007). Crystal structure of histone demethylase LSD1 and tranylcypromine at 2.25 Å. Biochemical and Biophysical Research Communications. 366(1). 15–22. 108 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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