Hideyuki Shimaoka

9 total papers · 493 total citations
9 papers, 438 citations indexed

About

Hideyuki Shimaoka is a scholar working on Molecular Biology, Organic Chemistry and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Hideyuki Shimaoka has authored 9 papers receiving a total of 438 indexed citations (citations by other indexed papers that have themselves been cited), including 8 papers in Molecular Biology, 5 papers in Organic Chemistry and 2 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Hideyuki Shimaoka's work include Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Hideyuki Shimaoka is often cited by papers focused on Glycosylation and Glycoproteins Research (7 papers), Carbohydrate Chemistry and Synthesis (5 papers) and Monoclonal and Polyclonal Antibodies Research (2 papers). Hideyuki Shimaoka collaborates with scholars based in Japan, Sweden and United Kingdom. Hideyuki Shimaoka's co-authors include Shin‐Ichiro Nishimura, Jun‐ichi Furukawa, Yasuro Shinohara, Masaki Kurogochi, Yoshiaki Miura, Mika Nakano, Hiroshi Hinou, Atsushi Kato, Lennart Hammarström and Hiroki Takahata and has published in prestigious journals such as Analytical Chemistry, Journal of Medicinal Chemistry and Chemistry - A European Journal.

In The Last Decade

Hideyuki Shimaoka

9 papers receiving 434 citations

Author Peers

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

Author						Papers	Cites
Hideyuki Shimaoka	327	188	66	55	54	9	438
Piet L. Koppen	429 1.3×	288 1.5×	42 0.6×	100 1.8×	46 0.9×	13	456
Nahoki Kuraya	296 0.9×	127 0.7×	32 0.5×	54 1.0×	43 0.8×	11	401
Annapoorani Ramiah	334 1.0×	122 0.6×	46 0.7×	83 1.5×	31 0.6×	10	411
Mika Nakano	269 0.8×	96 0.5×	50 0.8×	53 1.0×	33 0.6×	11	367
Wanjun Jin	255 0.8×	104 0.6×	30 0.5×	49 0.9×	68 1.3×	22	371
Michael J. Ferracane	385 1.2×	158 0.8×	37 0.6×	95 1.7×	53 1.0×	14	468
Rama Iyer	320 1.0×	171 0.9×	41 0.6×	56 1.0×	12 0.2×	8	422
Astrid Blume	373 1.1×	183 1.0×	33 0.5×	50 0.9×	22 0.4×	21	449
Willem M. Blanken	404 1.2×	247 1.3×	36 0.5×	97 1.8×	39 0.7×	11	492
Ian Loke	378 1.2×	107 0.6×	35 0.5×	190 3.5×	59 1.1×	14	455

Countries citing papers authored by Hideyuki Shimaoka

Since Specialization

Citations

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

Fields of papers citing papers by Hideyuki Shimaoka

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hideyuki Shimaoka

This figure shows the co-authorship network connecting the top 25 collaborators of Hideyuki Shimaoka. A scholar is included among the top collaborators of Hideyuki Shimaoka 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 Hideyuki Shimaoka. Hideyuki Shimaoka 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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