Tomoyuki Miyao

105 total papers · 776 total citations
63 papers, 509 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 63 papers receiving a total of 509 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, Ryo Kunimoto and Gisbert Schneider and has published in prestigious journals such as SHILAP Revista de lepidopterología, Chemistry - A European Journal and Molecules.

In The Last Decade

Tomoyuki Miyao

56 papers receiving 499 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author						Papers	Cites
Tomoyuki Miyao	350	220	195	55	54	63	509
Natalia Kireeva	228 0.7×	190 0.9×	106 0.5×	23 0.4×	56 1.0×	30	535
Anil Kumar Pandey	396 1.1×	148 0.7×	217 1.1×	40 0.7×	18 0.3×	19	591
Patrícia R. Oliveira	379 1.1×	125 0.6×	299 1.5×	31 0.6×	25 0.5×	24	583
Howard Y. Ando	144 0.4×	130 0.6×	156 0.8×	44 0.8×	110 2.0×	29	579
M. I. S. Sastry	181 0.5×	119 0.5×	199 1.0×	34 0.6×	53 1.0×	25	588
Irene Luque Ruiz	224 0.6×	62 0.3×	114 0.6×	44 0.8×	16 0.3×	92	611
Sergey Sosnin	288 0.8×	173 0.8×	224 1.1×	17 0.3×	30 0.6×	22	481
Qi Huang	241 0.7×	66 0.3×	151 0.8×	31 0.6×	262 4.9×	30	614
Nikolay Kochev	275 0.8×	185 0.8×	230 1.2×	25 0.5×	50 0.9×	27	517
Ben McKay	222 0.6×	124 0.6×	159 0.8×	14 0.3×	87 1.6×	26	587

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

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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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