Hisayuki Murai

48 total papers · 1.6k total citations
33 papers, 789 citations indexed

About

Hisayuki Murai is a scholar working on Cellular and Molecular Neuroscience, Neurology and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Hisayuki Murai has authored 33 papers receiving a total of 789 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Cellular and Molecular Neuroscience, 11 papers in Neurology and 11 papers in Endocrinology, Diabetes and Metabolism. Recurrent topics in Hisayuki Murai's work include Pituitary Gland Disorders and Treatments (11 papers), Cerebrospinal fluid and hydrocephalus (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). Hisayuki Murai is often cited by papers focused on Pituitary Gland Disorders and Treatments (11 papers), Cerebrospinal fluid and hydrocephalus (11 papers) and Traumatic Brain Injury and Neurovascular Disturbances (7 papers). Hisayuki Murai collaborates with scholars based in Japan and United States. Hisayuki Murai's co-authors include Naokatsu Saeki, Tracy K. McIntosh, Akira Yamaura, Ramesh Raghupathi, Motoo Kubota, Douglas H. Smith, Yuzo Hasegawa, Kentaro Horiguchi, Stephen P. Trusko and Richard Scott and has published in prestigious journals such as The Journal of Comparative Neurology, Radiology and Journal of neurosurgery.

In The Last Decade

Hisayuki Murai

31 papers receiving 761 citations

Author Peers

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

Author						Papers	Cites
Hisayuki Murai	354	251	184	183	179	33	789
Bainan Xu	437 1.2×	324 1.3×	123 0.7×	151 0.8×	124 0.7×	31	801
Jack M. Fein	521 1.5×	134 0.5×	141 0.8×	149 0.8×	182 1.0×	29	888
Tohru Kamida	252 0.7×	142 0.6×	146 0.8×	197 1.1×	102 0.6×	54	889
C. S. Treip	286 0.8×	177 0.7×	60 0.3×	98 0.5×	166 0.9×	28	829
Richard G. Berry	302 0.9×	238 0.9×	95 0.5×	143 0.8×	85 0.5×	29	769
Ding-biao Zhou	375 1.1×	216 0.9×	87 0.5×	218 1.2×	55 0.3×	57	875
Thomas J. Reagan	258 0.7×	111 0.4×	146 0.8×	125 0.7×	84 0.5×	24	744
José Bebin	207 0.6×	74 0.3×	108 0.6×	234 1.3×	118 0.7×	32	774
Tatsuo Akimura	330 0.9×	141 0.6×	95 0.5×	134 0.7×	62 0.3×	52	722
K. Sunami	227 0.6×	182 0.7×	103 0.6×	153 0.8×	280 1.6×	39	623

Countries citing papers authored by Hisayuki Murai

Since Specialization

Citations

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

Fields of papers citing papers by Hisayuki Murai

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Hisayuki Murai

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