Tomoyuki Miyao

794 total citations
64 papers, 523 citations indexed

About

Tomoyuki Miyao is a scholar working on Computational Theory and Mathematics, Materials Chemistry and Molecular Biology. According to data from OpenAlex, Tomoyuki Miyao has authored 64 papers receiving a total of 523 indexed citations (citations by other indexed papers that have themselves been cited), including 41 papers in Computational Theory and Mathematics, 27 papers in Materials Chemistry and 18 papers in Molecular Biology. Recurrent topics in Tomoyuki Miyao's work include Computational Drug Discovery Methods (41 papers), Machine Learning in Materials Science (23 papers) and Analytical Chemistry and Chromatography (7 papers). Tomoyuki Miyao is often cited by papers focused on Computational Drug Discovery Methods (41 papers), Machine Learning in Materials Science (23 papers) and Analytical Chemistry and Chromatography (7 papers). Tomoyuki Miyao collaborates with scholars based in Japan, Germany and Switzerland. Tomoyuki Miyao's co-authors include Kimito Funatsu, Hiromasa Kaneko, Jürgen Bajorath, Masamoto Arakawa, Swarit Jasial, Akinori Sato, Hiroshi Nakano, Martin Vogt, S. Aoshima and Raquel Rodríguez-Pérez and has published in prestigious journals such as SHILAP Revista de lepidopterología, Journal of Applied Physics and Chemistry - A European Journal.

In The Last Decade

Tomoyuki Miyao

59 papers receiving 513 citations

Peers

Countries citing papers authored by Tomoyuki Miyao

Since Specialization

Citations

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

Fields of papers citing papers by Tomoyuki Miyao

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Tomoyuki Miyao

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Pulmonary and serum cytokine profiles of patients with anti-ARS and anti-MDA5 antibodies 2025 ·Journal of Autoimmunity ·Kazuhiro Kurasawa, Satoko Arai, (unknown), (unknown), (unknown), (unknown), (unknown), Tomoyuki Miyao, (unknown), Takayoshi Owada, Hirokuni Hirata, Yasutsugu Fukushima, Masafumi Arima, Reika Maezawa, Kei Ikeda	1
2	Interfacial negative charges in PECVD-SiO2/Si films: Correlating Si 2p XPS with electrical properties to construct a physically consistent model 2025 ·Journal of Applied Physics ·Sakura Takeda, (unknown), (unknown), Mutsunori Uenuma, Tomoyuki Miyao, Naoaki Ono, Yukiharu Uraoka, Kimito Funatsu	0
3	Cyanomethylation of Aldehydes on an Electrochemical Microflow System and Utility of Machine Learning‐Assisted Examination of the Reaction Conditions 2025 ·Chemistry - A European Journal ·Eisuke F. Sato, Akio Tani, Tomoyuki Miyao, (unknown), Shinobu Takizawa, Koichi Mitsudo, Seiji Suga	2
4	Multi-objective Bayesian Optimization for Experimental Design in Copolymerization and Revealing Chemical Mechanism of Pareto Fronts 2025 ·ACS Applied Engineering Materials ·Hirofumi Yamada, (unknown), (unknown), Yosuke Harashima, Tomoaki Takayama, (unknown), (unknown), Tsuyoshi Ando, (unknown), Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu‐ya Ohnishi, Hiroharu Ajiro, (unknown)	3
5	Identifying two pathways to poor prognosis in patients with anti-MDA5 antibodies: insights from prognostic factor and cytokines analysis 2025 ·Arthritis Research & Therapy ·(unknown), Kazuhiro Kurasawa, (unknown), (unknown), Azusa Kikuchi, Yoshiaki Yoshida, (unknown), Tomoyuki Miyao, (unknown), Satoko Arai, Reika Maezawa, Masafumi Arima, Kei Ikeda	1
6	Understanding Conformation Importance in Data-Driven Property Prediction Models 2025 ·Journal of Chemical Information and Modeling ·(unknown), Tomoyuki Miyao	1
7	Clinical features and risk factors of flare in anti-synthetase syndrome 2025 ·Clinical Rheumatology ·(unknown), Kazuhiro Kurasawa, (unknown), (unknown), Azusa Kikuchi, (unknown), (unknown), (unknown), (unknown), Yoshiaki Yoshida, (unknown), Tomoyuki Miyao, (unknown), Satoko Arai, Reika Maezawa, Masafumi Arima, Kei Ikeda	0
8	CopDDB: a descriptor database for copolymers and its applications to machine learning 2024 ·Digital Discovery ·(unknown), (unknown), (unknown), Taichi Inagaki, (unknown), (unknown), Tomoyuki Miyao, Takamitsu Matsubara, Hiroharu Ajiro, (unknown), Yu‐ya Ohnishi, Miho Hatanaka	6
9	NuclSeg: nuclei segmentation using semi-supervised stain deconvolution 2023 ·(unknown), Jian Yang, Ryohei Katayama, Michiya Matsusaki, Tomoyuki Miyao, Jinjia Zhou	0
10	Composition Regulation by Flow Copolymerization of Methyl Methacrylate and Glycidyl Methacrylate with Free Radical Method 2023 ·Macromolecular Materials and Engineering ·(unknown), (unknown), (unknown), (unknown), (unknown), Miho Hatanaka, Tomoyuki Miyao, Yu‐ya Ohnishi, Takamitsu Matsubara, Tsuyoshi Ando, (unknown), (unknown), Hiroharu Ajiro	3
11	Extrapolation performance improvement by quantum chemical calculations for machine-learning-based predictions of flow-synthesized binary copolymers 2023 ·Digital Discovery ·(unknown), (unknown), (unknown), Shô Itô, Yosuke Harashima, Tomoaki Takayama, (unknown), (unknown), (unknown), Miho Hatanaka, Tomoyuki Miyao, Takamitsu Matsubara, Yu‐ya Ohnishi, Hiroharu Ajiro, (unknown)	6
12	Governing Factors for Carbon Nanotube Dispersion in Organic Solvents Estimated by Machine Learning 2022 ·Advanced Materials Interfaces ·Yoshiyuki Nonoguchi, Tomoyuki Miyao, (unknown), Tsuyoshi Kawai, Kimito Funatsu	17
13	Mechanism assay of interaction between blood vessels-near infrared probe and cell surface marker proteins of endothelial cells 2022 ·Materials Today Bio ·(unknown), Fiona Louis, Tomoyuki Miyao, Sun Hyeok Lee, Young‐Tae Chang, Michiya Matsusaki	1
14	Changing patterns of pulmonary abnormalities in rheumatoid arthritis 2022 ·Respiratory Investigation ·(unknown), Kazuhiro Kurasawa, (unknown), Yuta Takamura, Tomoyuki Miyao, (unknown), (unknown), (unknown), Satoko Arai, Takayoshi Owada, Masafumi Arima, Hiroaki Arakawa, Reika Maezawa	1
15	Prediction of Reaction Yield for Buchwald‐Hartwig Cross‐coupling Reactions Using Deep Learning 2021 ·Molecular Informatics ·Akinori Sato, Tomoyuki Miyao, Kimito Funatsu	14
16	Exploring ensembles of bioactive or virtual analogs of X-ray ligands for shape similarity searching 2018 ·Journal of Computer-Aided Molecular Design ·Tomoyuki Miyao, Jürgen Bajorath	3
17	Ring‐System‐Based Exhaustive Structure Generation for Inverse‐QSPR/QSAR 2014 ·Molecular Informatics ·Tomoyuki Miyao, Hiromasa Kaneko, Kimito Funatsu	21
18	Exhaustive Structure Generation for Inverse‐QSPR/QSAR 2010 ·Molecular Informatics ·Tomoyuki Miyao, Masamoto Arakawa, Kimito Funatsu	37
19	Systematic Generation of Chemical Structures for Rational Drug Design Based on QSAR Models 2010 ·Current Computer - Aided Drug Design ·Kimito Funatsu, Tomoyuki Miyao, Masamoto Arakawa	19
20	Design of Alkanol Amine Structure for CO2 Absorption Method 2009 ·(unknown), Tomoyuki Miyao, Masamoto Arakawa, Kimito Funatsu	1

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.

Explore authors with similar magnitude of impact