Mitsuru Miyaji

13 total papers · 533 total citations
7 papers, 466 citations indexed

About

Mitsuru Miyaji is a scholar working on Molecular Biology, Cellular and Molecular Neuroscience and Cardiology and Cardiovascular Medicine. According to data from OpenAlex, Mitsuru Miyaji has authored 7 papers receiving a total of 466 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Molecular Biology, 4 papers in Cellular and Molecular Neuroscience and 2 papers in Cardiology and Cardiovascular Medicine. Recurrent topics in Mitsuru Miyaji's work include Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). Mitsuru Miyaji is often cited by papers focused on Receptor Mechanisms and Signaling (4 papers), Neuropeptides and Animal Physiology (3 papers) and Neurotransmitter Receptor Influence on Behavior (1 paper). Mitsuru Miyaji collaborates with scholars based in Japan, United Kingdom and United States. Mitsuru Miyaji's co-authors include Hiroshi Kawamoto, Hisashi Ohta, Satoshi Ozaki, Yoshiki Itoh, Yoshikazu Iwasawa, Sachie Arai, Tetsuya Kato, Hiroshi Nakashima, Daisuke Ichikawa and Hirohide Nambu and has published in prestigious journals such as Journal of Medicinal Chemistry, European Journal of Pharmacology and Atherosclerosis.

In The Last Decade

Mitsuru Miyaji

7 papers receiving 441 citations

Author Peers

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

Author						Papers	Cites
Mitsuru Miyaji	376	364	220	46	38	7	466
Kevin Duerson	273 0.7×	348 1.0×	66 0.3×	13 0.3×	35 0.9×	7	469
Eva‐Lena Glämsta	297 0.8×	358 1.0×	153 0.7×	12 0.3×	30 0.8×	10	541
J R Peters	201 0.5×	402 1.1×	76 0.3×	14 0.3×	17 0.4×	11	530
Aamir M Khawaja	225 0.6×	169 0.5×	188 0.9×	26 0.6×	17 0.4×	12	441
Martin Lis	247 0.7×	250 0.7×	61 0.3×	43 0.9×	18 0.5×	16	456
Mylène Gosselin	230 0.6×	293 0.8×	116 0.5×	8 0.2×	32 0.8×	11	471
H Marçais-Collado	410 1.1×	294 0.8×	142 0.6×	6 0.1×	28 0.7×	12	527
S P Wilson	232 0.6×	358 1.0×	106 0.5×	11 0.2×	10 0.3×	8	502
Sylvie Marc	89 0.2×	186 0.5×	124 0.6×	15 0.3×	35 0.9×	9	423
L S Reynolds	319 0.8×	246 0.7×	110 0.5×	9 0.2×	8 0.2×	13	415

Countries citing papers authored by Mitsuru Miyaji

Since Specialization

Citations

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

Fields of papers citing papers by Mitsuru Miyaji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Mitsuru Miyaji

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